Inder's Desk

Gemini Can Lose. Google Still Gets Paid.

Inder Sabharwal — Sun, 09 Aug 2026 16:31:52 GMT

What the company does and how it makes money

Q2 2026: revenue $119.8B, up 24%; operating income $40.8B at a 34% margin. The segment chart above shows where both come from.
Search & other is the engine: $63.3B, up 16.8%, the largest single line by far.
The rest of ads: YouTube $11.1B, up 12.9%; Google Network (ads on third-party sites) $7.3B, down 0.7%, the only revenue line that shrank.
Subscriptions, platforms and devices: $12.9B, up 15.2%. One blended line: YouTube TV/Music/Premium, NFL Sunday Ticket, Google One, Play purchases, and hardware, including publicly known products such as Pixel, Fitbit, and Nest (the filing itself just says “devices”). Alphabet discloses no split, so nobody outside the company knows what YouTube subscriptions or Pixel actually earn.

Google Cloud: $24.8B, up 82%, the fastest-growing line. The segment also includes Workspace and, new this quarter, TPU hardware sales.
Other Bets: $382M of revenue on a $1.8B loss that widened 45%. Revenue comes from Waymo rides and internet service (likely Google Fiber, not named in the filing); a third-party estimate below suggests internet service, not Waymo, is actually the larger piece.
The profit mix the revenue lines hide: Services earns $39.5B of operating income, roughly 97% of Alphabet’s total and 4.5x Cloud.
Waymo, the flagship bet: ~400K paid weekly rides in early 2026, ~500K by mid-year, targeting 1M by year-end.
As of May 2026, Waymo’s coverage had passed 1,400 square miles across 11 cities, with ~20 planned including London and Tokyo (estimated revenue split vs. the rest of Other Bets in the chart below).

Waymo’s February raise looks bigger than it is: $16B at a $126B valuation, but $13B of it was Alphabet’s own money. Only ~$3B came from outside, led by new investors Sequoia, DST Global, and Dragoneer alongside existing backers including a16z and Mubadala, so the price is market-set only at the margin.

GCP vs. the Gemini frontier lab: two different businesses, one shared bill

Cloud is compounding fast and profitably.

Cloud is the win: segment margin 35.6%, up from 20.7% a year ago, on revenue growing 82% YoY against AWS’s 28% and Azure’s 40%. Backlog hit $514B, up more than $50B in a single quarter, with management expecting half to convert within 24 months and ~90% of the Fortune 100 on Gemini Enterprise.
Gemini/DeepMind has no disclosed P&L; some of its cost lands in “Alphabet-level activities,” a bucket that also holds philanthropy, corporate overhead, and fines, and whose loss widened from $3.4B to $5.8B.
One credible outside read says the trade is deliberate. SemiAnalysis (”Gemini is Cooked but GCP is Cooking,” Aug 7) argues Google is trading frontier competitiveness for near-term Cloud monetization.
More than 20% of TPU shipments from late 2026 through 2027 go directly to Anthropic, Google’s most direct rival lab. The deal itself is public; the 20% is their supply-chain estimate.
Then the humans walked. Jeff Dean, Chief Scientist and employee #30, announced his exit on Aug 5 after 27 years to co-found Discovery Loop with Sanjay Ghemawat, Oriol Vinyals, and Quoc Le.

Frontier model economics

Gemini is the least capable model with decelerating token growth.

GCP is growing fast, accelerating for five straight quarters to 82%. Gemini’s own token growth is doing the opposite: 60% in Q1’26, 38% in Q2’26, the only two quarters SemiAnalysis has estimated so far.
On Artificial Analysis’s capability index, Gemini 3.1 Pro Preview scores lowest of the eight rated models (48). Meta’s Muse Spark 1.2 (57) scores higher and costs less on both input and output; Alibaba’s Qwen3.8-Max (58) also scores higher, ties Gemini on input price, and costs half as much on output. Google isn’t just behind on capability; it isn’t winning on price either.

Cloud’s growth rate has climbed an average 10.8 points a quarter, 28% to 82%. Nothing else in this business moves like that.
Search’s growth roughly doubled over the same six quarters, 9.8% to 19.1%, then gave back 2.4 points in Q2 2026. Whether that matters is the next chart.
Gemini’s token growth is the only line falling, and the only one that is neither revenue nor an Alphabet figure.

Google Cloud Could Match or Surpass Search Revnue In 2 Years

It comes down to two things nobody knows yet: when Cloud stops speeding up, and whether Search keeps growing.

Cloud reaches $55B, $67B or $73B a quarter by mid-2028, depending on when its growth slows. It has not slowed yet. Growth has been rising for 11 straight quarters.
Even in the worst case, Cloud is still growing 40% in 2028, about what Azure does today.
Search is the wildcard. At today’s pace it keeps growing. Under a deliberately harsh stress case it starts shrinking in 2028, down to $64B a quarter. Nothing in the filings points that way; it is a what-if.
Cloud only overtakes Search by mid-2028 if Search stumbles. If Search holds, Cloud gets to 87% of it and stops there.
TPU chip sales reach $2.5B to $3.2B a quarter, probably more. Inventory jumped from $2.4B to $10.0B, but Google will not say how much of that is chips, so the math stops there.

Alphabet’s $200B Quarter Inside 2 years

Compounded, that is a $200B-a-quarter Alphabet inside two years. Not the base case, but the upside edge of arithmetic built entirely from filed figures.

Total revenue is $119.8B a quarter today. It reaches $193B by Q2 2028 on the central case, $198B if Cloud’s rate never peaks inside the window and Search holds, and $158B if Cloud peaks this year and Search takes the stress case. That spread is the same uncertainty already shown for Search and Cloud, compounded.
The mix is the part worth watching. Cloud goes from 21% of the company to 35% on the central case, and it does that without Search shrinking in any case except the stress one.
Everything else, which is YouTube ads, Google Network, subscriptions, platforms, devices and Other Bets, is derived by subtracting Search and Cloud from filed total revenue. It is exact rather than estimated, but it is a composite of very different businesses held at one rate here.

The Parts That Do Not Show Up In Revenue Numbers Yet

Alphabet also owns $225.6B of other companies’ stock. None of it shows up in any revenue number above.

The one piece the filing names is SpaceX: $80.0B of shares Alphabet cannot sell yet, plus another $14.1B locked up until late 2027. That is the only unlock date disclosed anywhere in the set.
The other $131.5B is private stakes the filing does not name. It nearly doubled from $68.7B at the start of the year, and that jump is where the quarter’s big paper profit came from.
Anthropic is not mentioned in the filing once. The widely repeated claim that some of that gain is an Anthropic stake comes from a single hedged report. If the stake exists, it is inside that unnamed pile.
Waymo is missing for the opposite reason. Alphabet owns all of it, so it carries no asset value at all, even though its last funding round priced it at $126B.
None of this is cash. The shares are locked up or hard to sell, and Alphabet has not said it plans to sell any. The filing shows the option exists and roughly what it is worth, not that it will be used.

The bull case

Cloud is compounding: five straight quarters of accelerating growth, margin up 15 points YoY. Its latest quarter ran at roughly double AWS’s and Azure’s most recent results.
TPU hardware revenue has barely started; the “vast majority” lands in 2027. SemiAnalysis models 2027 Cloud growth in the mid-100s percent against a 64% Street consensus. And selling TPUs to Anthropic pays Alphabet whichever lab wins.
The funding engine is large: $39.5B a quarter of Services profit, ~$70B freshly raised, and capex guidance lifted to $195B-$205B for AI infrastructure.

The bear case

Cash quality: free cash flow went negative (-$5.9B) for the first time in this series, capex doubled year over year, and long-term debt roughly doubled to $98.2B.
EPS quality: $9.11 was 69% one-time gain. The $99.0B equity-securities markup, mostly Alphabet’s SpaceX stake after its June IPO, added $6.26; ex-gain, ~$2.85 against a ~$2.89 consensus.
One report, unconfirmed, attributes part of that gain to a stake in Anthropic: the same rival lab Google sells TPUs to.
The lab: a widening shared-cost bucket with no disclosed offset, a model one analyst shop ranks eighth or ninth, and four senior departures announced in a day.
Google Network declined 0.7% YoY in Q2, and Cloud margin carries two management-flagged second-half headwinds.

In Conclusion

The model race may produce several winners.

Google is trying to own the road they all have to travel.

Gemini can lose.

Google can still get paid.

Appendix: sources

Alphabet Q2 2026 earnings release, 8-K exhibit 99.1, filed 2026-07-22, SEC EDGAR. Primary source for all revenue lines, segment operating income, segment definitions, and the $99.0B equity-securities gain.
Alphabet Form 10-K, FY2024, SEC EDGAR. Source for the Search & Other and Google Network revenue-line definitions (stable boilerplate language across recent fiscal years).
Alphabet Q2 2026 earnings call, 2026-07-22, referenced via SignalDeck’s prior verified GOOGL Cloud deep-dive. Call-only disclosures: the $514B backlog and its conversion expectation, the two H2 margin headwinds, the capex guidance raise.
SemiAnalysis, “Gemini is Cooked but GCP is Cooking,” 2026-08-07. Competitive rankings, Gemini ARR, TPU/Anthropic shipment share. All figures are SemiAnalysis’s own model, not Alphabet disclosures.
Artificial Analysis, model intelligence index and pricing, with individual model pages fetched directly for each score in the frontier-economics chart. Data note: Artificial Analysis’s live page for Meta’s Muse Spark 1.2 shows an Intelligence Index of 57, while a dated Artificial Analysis article shows 54 for the same model, likely an index-recalibration artifact, not resolved further; the chart uses the live value.
First-party pricing pages: Anthropic, OpenAI, Alibaba Cloud Model Studio, Google Gemini API, Moonshot AI. All fetched 2026-08-07.
Meta’s Muse Spark 1.2 API pricing: The Decoder (2026-07-09) announced Muse Spark 1.1 at $1.25/$4.25 per million tokens; OpenRouter’s Muse Spark 1.2 pricing page (checked 2026-08-07) independently lists the same $1.25/$4.25 for the 1.2 model specifically. OpenRouter is a third-party API marketplace, not Meta’s own pricing page; no first-party Meta pricing page was found for this model.
Jeff Dean departure coverage, 2026-08-05: SiliconANGLE, CNBC, Axios, GeekWire. Convergent reporting; no primary Google blog post was retrievable.
Waymo funding, 2026-02-02: Bloomberg, CNBC. The $16B round, $126B valuation, Alphabet’s $13B share.
Waymo ridership and expansion: Forbes (2025-12-10) on the 1M-weekly-rides target; Electrek (2026-05-13) on the >1,400 sq mile, 11-city coverage figure.
Sacra, Waymo revenue estimate, as of Feb 2026. Basis of the Waymo-vs-rest Other Bets split chart, itself an estimate, not an Alphabet disclosure.
AP/Fortune and Motley Fool, both 2026-07-23. Attribution of the equity gain to SpaceX; the Anthropic attribution is Motley Fool’s alone, hedged as “reported to be,” unconfirmed by the other outlet.
Interactive Brokers market data, verified 2026-08-06. GOOGL closes: $377.65 (8/4), $362.43 (8/5), the -4.03% announcement-day move.

Disclaimer:

This article is for informational and educational purposes only and does not constitute financial, investment, tax, or legal advice. Any opinions, scenarios, price targets, or market observations reflect my personal views and may change without notice. Investing and trading involve substantial risk, including the possible loss of principal. You are solely responsible for your own investment decisions, position sizing, risk management, and trades. Conduct your own research and consult a qualified professional where appropriate.

Google Is Becoming a Compute-First Company

Inder Sabharwal — Sun, 09 Aug 2026 06:50:19 GMT

What the company does and how it makes money

Q2 2026: revenue $119.8B, up 24%; operating income $40.8B at a 34% margin. The segment chart above shows where both come from.
Search & other is the engine: $63.3B, up 16.8%, the largest single line by far.
The rest of ads: YouTube $11.1B, up 12.9%; Google Network (ads on third-party sites) $7.3B, down 0.7%, the only revenue line that shrank.
Subscriptions, platforms and devices: $12.9B, up 15.2%. One blended line: YouTube TV/Music/Premium, NFL Sunday Ticket, Google One, Play purchases, and hardware, including publicly known products such as Pixel, Fitbit, and Nest (the filing itself just says “devices”). Alphabet discloses no split, so nobody outside the company knows what YouTube subscriptions or Pixel actually earn.

Google Cloud: $24.8B, up 82%, the fastest-growing line. The segment also includes Workspace and, new this quarter, TPU hardware sales.
Other Bets: $382M of revenue on a $1.8B loss that widened 45%. Revenue comes from Waymo rides and internet service (likely Google Fiber, not named in the filing); a third-party estimate below suggests internet service, not Waymo, is actually the larger piece.
The profit mix the revenue lines hide: Services earns $39.5B of operating income, roughly 97% of Alphabet’s total and 4.5x Cloud.
Waymo, the flagship bet: ~400K paid weekly rides in early 2026, ~500K by mid-year, targeting 1M by year-end.
As of May 2026, Waymo’s coverage had passed 1,400 square miles across 11 cities, with ~20 planned including London and Tokyo (estimated revenue split vs. the rest of Other Bets in the chart below).

Waymo’s February raise looks bigger than it is: $16B at a $126B valuation, but $13B of it was Alphabet’s own money. Only ~$3B came from outside, led by new investors Sequoia, DST Global, and Dragoneer alongside existing backers including a16z and Mubadala, so the price is market-set only at the margin.

GCP vs. the Gemini frontier lab: two different businesses, one shared bill

Only one of these has a separately disclosed P&L. That asymmetry is the story.

Cloud’s margin is now 35.6%, up from 20.7% a year ago. AWS grew 28% and Azure 40% in their latest quarters; Google is running at roughly double both.
The backlog hit $514B, up $50B+ in a single quarter; management expects half to convert within 24 months. ~90% of the Fortune 100 are on Gemini Enterprise.
Still the junior engine: Cloud’s $8.8B of segment profit is under a quarter of Services’ $39.5B.
Gemini/DeepMind has no disclosed P&L at all. Some of its shared costs land in “Alphabet-level activities,” a bucket that also holds philanthropy, corporate overhead, and fines; the bucket’s loss widened from $3.4B to $5.8B. How much of that is the lab? Alphabet doesn’t say.
Cloud’s 35.6% margin also excludes whatever share of that shared AI research economically belongs to it; the filing doesn’t allocate.
SemiAnalysis (”Gemini is Cooked but GCP is Cooking,” Aug 7) argues Google is deliberately trading frontier competitiveness for near-term Cloud monetization. Their thesis, not Google’s words.
Their sharpest claim: more than 20% of TPU shipments from late 2026 through 2027 are going directly to Anthropic, Google’s most direct rival lab. The 20% is their supply-chain estimate; the deal itself is public.
They rank Gemini “8th or 9th” among frontier models and estimate ~$12B of Gemini ARR against ~$73B of third-party AI ARR for GCP by end-2027. Rankings and dollars are their model, not Alphabet disclosures.
Then the humans walked. Jeff Dean, Chief Scientist, employee #30, 27 years, announced his exit on Aug 5 to co-found Discovery Loop, an AI-for-science startup, alongside Sanjay Ghemawat, Oriol Vinyals, and Quoc Le. Friendly split; Google is a founding investor and Cloud partner.
Same announcement: Hassabis moved up to Alphabet Chief Scientist and DeepMind Chairman; Koray Kavukcuoglu took over day-to-day DeepMind operations.
The stock fell 4.03% that day (IBKR-verified), the only hard number the event has produced. Four senior departures announced together materially support the lab-is-slipping read; it’s also consistent with an amicable spin-out. Both readings stay open.
Management flagged two H2 Cloud margin headwinds (rented third-party capacity, Wiz integration) and twice declined to say whether TPU sales help or hurt segment margin.

Frontier Model Economics

GCP is growing fast, accelerating for five straight quarters to 82%. Gemini’s own token growth is doing the opposite: 60% in Q1’26, 38% in Q2’26, the only two quarters SemiAnalysis has estimated so far.
On Artificial Analysis’s capability index, Gemini 3.1 Pro Preview scores lowest of the eight rated models (48). Meta’s Muse Spark 1.2 (57) scores higher and costs less on both input and output; Alibaba’s Qwen3.8-Max (58) also scores higher, ties Gemini on input price, and costs half as much on output. Google isn’t just behind on capability; it isn’t winning on price either.

Search, Cloud, and where they land in two years

Cloud’s growth rate has climbed an average 10.8 points a quarter, 28% to 82%. Nothing else in this business moves like that.
Search’s growth roughly doubled over the same six quarters, 9.8% to 19.1%, then gave back 2.4 points in Q2 2026. Whether that matters is the next chart.
Gemini’s token growth is the only line falling, and the only one that is neither revenue nor an Alphabet figure.

Cloud’s band is one question: when the growth rate peaks. Three dates, because that is what the answer turns on. Peak at the end of 2026 puts Cloud at $55B a quarter by Q2 2028; end of 2027, $67B; end of 2028, meaning no peak inside the window at all, $73B.
Nothing says the peak has happened yet. Cloud’s rate is accelerating into the last print, by 14.2, 15.6 and 18.4 points across the last three quarters, and the current ascent has run 11 quarters from the 22.5% trough in Q3 2023. The prior decline took 9 quarters, and before that the rate sat above 42% for 6.
The end-2027 case shares that six-quarter count, though not its shape: historically the rate was merely above 42% for six quarters with the peak in the middle, while this scenario holds today’s rate for six more. An echo, not an equivalence.
Once it turns, all three glide at the pace this segment actually set last time, peak to trough: 53.9% in Q2 2021 down to 22.5% in Q3 2023, about 9.3% a quarter off the rate. Even the earliest peak leaves Cloud growing 40% in Q2 2028, roughly where Azure is now.
Search now carries a real bear case rather than a flat line. The upper edge holds today’s rate. The lower edge erodes it by twice the worst four-quarter deceleration Search has printed outside COVID, which turns growth negative from Q1 2028 and lands at -3.9%, with Search shrinking to $64B a quarter.
That stress case is a deliberate handicap, not a reading of the data, and the chart says so. Search’s broader trend improved through Q1 2026 and its two-year rate is roughly flat; only the latest one-year print stepped down. The case exists because the risk is real, not because the filings show it.
Put the two together and the crossover becomes conditional rather than distant. Cloud passes Search by Q2 2028 in the two later peak cases, but only against a stressed Search. Against a Search that simply holds its rate, Cloud reaches 87% of it and no further.
Year one is the firm part: Cloud adds $56B to $61B against Search’s $21B to $41B. Year two is softer and the chart marks where it starts, because from there the year-ago base is itself a projection and the arithmetic compounds on its own output.
TPU rides GCP’s rate throughout, reaching roughly $2.5B to $3.2B a quarter by Q2 2028 depending on the peak case. Management put the vast majority of it in 2027, faster than the segment around it, so it is likely understated. Inventory did jump from $2.4B to $10.0B in six months and management linked the build to TPU, but Alphabet discloses neither the TPU share of it nor the hardware margin, so no revenue capacity can honestly be derived from it.

Alphabet total revenue is $119.8B a quarter today. On the central case it reaches $193B by Q2 2028, with the outer cases at $158B and $198B, spanning the same uncertainty already shown for Search and Cloud, compounded.
The mix is the part worth watching. Cloud goes from 21% of the company to 35% on the central case, and it does that without Search shrinking in any case except the stress one.
Everything else, which is YouTube ads, Google Network, subscriptions, platforms, devices and Other Bets, is derived by subtracting Search and Cloud from filed total revenue. It is exact rather than estimated, but it is a composite of very different businesses held at one rate here.

None of the projections above capture what Alphabet owns. The balance sheet carries $225.6B of equity holdings that produce no revenue line at all.
SpaceX is named in the filing itself, which is unusual and makes it the hardest number here: $80.0B of shares under short-term sale restrictions, plus $14.1B restricted through the third quarter of 2027. That second date is the only disclosed unlock in the set.
The other $131.5B is non-marketable securities, filed but with no component named. It nearly doubled from $68.7B at year-end, which is where the quarter’s equity gain came from.
Anthropic appears nowhere in the 10-Q. Not once. The widely repeated claim that part of that gain is an Anthropic stake rests on a single hedged report, and if the stake exists it sits inside that unnamed block.
Waymo appears nowhere either, for the opposite reason: it is consolidated inside Other Bets, so it carries no asset value at all. Its last round valued it at $126B in February 2026. That number is in neither the revenue lines, where Waymo shows up as $382M a quarter against a $1.8B loss, nor the assets.
A holding is not cash, and this is where the optionality framing earns its caveat. The SpaceX tranches are restricted, private stakes are illiquid, and selling any of it is a decision Alphabet has not announced. What the filing establishes is that the option exists and roughly what it is worth, not that it will be exercised.

The bull case

Cloud is compounding: five straight quarters of accelerating growth, margin up 15 points YoY. Its latest quarter ran at roughly double AWS’s and Azure’s most recent results.
TPU hardware revenue has barely started; the “vast majority” lands in 2027. SemiAnalysis models 2027 Cloud growth in the mid-100s percent against a 64% Street consensus. And selling TPUs to Anthropic pays Alphabet whichever lab wins.
The funding engine is large: $39.5B a quarter of Services profit, ~$70B freshly raised, and capex guidance lifted to $195B-$205B for AI infrastructure.

The bear case

Cash quality: free cash flow went negative (-$5.9B) for the first time in this series, capex doubled year over year, and long-term debt roughly doubled to $98.2B.
EPS quality: $9.11 was 69% one-time gain. The $99.0B equity-securities markup, mostly Alphabet’s SpaceX stake after its June IPO, added $6.26; ex-gain, ~$2.85 against a ~$2.89 consensus.
One report, unconfirmed, attributes part of that gain to a stake in Anthropic: the same rival lab Google sells TPUs to.
The lab: a widening shared-cost bucket with no disclosed offset, a model one analyst shop ranks eighth or ninth, and four senior departures announced in a day.
Google Network declined 0.7% YoY in Q2, and Cloud margin carries two management-flagged second-half headwinds.

What settles it

Alphabet’s next quarterly report: does the Alphabet-level loss keep widening, does Cloud margin hold against the flagged headwinds, does the backlog build again.
Gemini 3.5 Pro’s launch reception versus SemiAnalysis’s pre-committed “roughly Opus 4.5 level” call. Independent benchmarks will make that checkable.
Waymo’s 1M weekly rides by end of 2026: dated, binary, hit or miss.

Appendix: sources

Alphabet Q2 2026 earnings release, 8-K exhibit 99.1, filed 2026-07-22, SEC EDGAR. Primary source for all revenue lines, segment operating income, segment definitions, and the $99.0B equity-securities gain.
Alphabet Form 10-K, FY2024, SEC EDGAR. Source for the Search & Other and Google Network revenue-line definitions (stable boilerplate language across recent fiscal years).
Alphabet Q2 2026 earnings call, 2026-07-22, referenced via SignalDeck’s prior verified GOOGL Cloud deep-dive. Call-only disclosures: the $514B backlog and its conversion expectation, the two H2 margin headwinds, the capex guidance raise.
SemiAnalysis, “Gemini is Cooked but GCP is Cooking,” 2026-08-07. Competitive rankings, Gemini ARR, TPU/Anthropic shipment share. All figures are SemiAnalysis’s own model, not Alphabet disclosures.
Artificial Analysis, model intelligence index and pricing, with individual model pages fetched directly for each score in the frontier-economics chart. Data note: Artificial Analysis’s live page for Meta’s Muse Spark 1.2 shows an Intelligence Index of 57, while a dated Artificial Analysis article shows 54 for the same model, likely an index-recalibration artifact, not resolved further; the chart uses the live value.
First-party pricing pages: Anthropic, OpenAI, Alibaba Cloud Model Studio, Google Gemini API, Moonshot AI. All fetched 2026-08-07.
Meta’s Muse Spark 1.2 API pricing: The Decoder (2026-07-09) announced Muse Spark 1.1 at $1.25/$4.25 per million tokens; OpenRouter’s Muse Spark 1.2 pricing page (checked 2026-08-07) independently lists the same $1.25/$4.25 for the 1.2 model specifically. OpenRouter is a third-party API marketplace, not Meta’s own pricing page; no first-party Meta pricing page was found for this model.
Jeff Dean departure coverage, 2026-08-05: SiliconANGLE, CNBC, Axios, GeekWire. Convergent reporting; no primary Google blog post was retrievable.
Waymo funding, 2026-02-02: Bloomberg, CNBC. The $16B round, $126B valuation, Alphabet’s $13B share.
Waymo ridership and expansion: Forbes (2025-12-10) on the 1M-weekly-rides target; Electrek (2026-05-13) on the >1,400 sq mile, 11-city coverage figure.
Sacra, Waymo revenue estimate, as of Feb 2026. Basis of the Waymo-vs-rest Other Bets split chart, itself an estimate, not an Alphabet disclosure.
AP/Fortune and Motley Fool, both 2026-07-23. Attribution of the equity gain to SpaceX; the Anthropic attribution is Motley Fool’s alone, hedged as “reported to be,” unconfirmed by the other outlet.
Interactive Brokers market data, verified 2026-08-06. GOOGL closes: $377.65 (8/4), $362.43 (8/5), the -4.03% announcement-day move.

Disclaimer:

$TEAM: the market said AI agents would kill Jira. Atlassian is making Jira their boss.

Inder Sabharwal — Fri, 07 Aug 2026 00:15:42 GMT

What The Company Does And How Does It Make Money

Atlassian sells work-orchestration software by subscription. Jira tracks work, Confluence holds knowledge, Jira Service Management runs IT support, and Rovo is the AI layer threaded through all three.
Cloud is the business now: 69% of Q4 revenue and the fastest-growing line. The older self-hosted Data Center product is being deliberately sunset in favor of it.
Subscription ARR is $6.6 billion, up 22.7% year over year.

What User Actually Do With It: Agentic Coding

The agentic coding workflow: assign a Jira issue to Claude or Cursor, by @-mention, the assignee dropdown, or an automation rule, and the agent clones the repo into a sandbox, works on its own branch, opens a draft pull request, and streams status back into Jira. Humans keep merge control, and the whole thing runs inside Jira’s own permissions and audit trail.
Atlassian is the control layer for the coding agents: Agent Sessions collects every agent’s activity into one view, grouped by what needs attention, Jira positions itself as “the control plane,” the place that knows who’s doing what, why, and when, once the work is being done by dozens of agents instead of a handful of engineers.
Adoption is compounding off a young base: the MCP server and Teamwork Graph CLI combined passed 1 million monthly active users, more than doubling in a single quarter, with MCP calls up over 400% quarter over quarter. Almost all of those users, 98%, are also active in the regular Jira interface the same month, and MCP adopters grow their subscription revenue twice as fast as everyone else.
Cisco’s VP of engineering operations put it this way: “The question we’re asking isn’t how do we get engineers to use more AI. It’s how do we build a system where humans and agents are working from the same context, toward the same goals.”

The Business

Q4 FY26 revenue was $1.77 billion, up 27.6% year over year, with a 12% GAAP operating margin (against a loss a year ago), a 36% non-GAAP operating margin, and free cash flow of $475 million.
The full year tells a different story: just $10 million of GAAP operating income and a $54 million GAAP net loss for FY26, mostly because a $280 million restructuring charge landed entirely in the first three quarters, Q4 is genuinely clean of it, and stock-based compensation ran $1.6 billion, roughly a quarter of total revenue.
Capital deployment: $1.8 billion of buybacks, more than double the prior year, plus $1.23 billion of unnamed acquisitions, about $3 billion deployed against $1.3 billion of free cash flow. Cash on the balance sheet was cut in half over the year, from $2.5 billion to $1.2 billion.

Why The Market Left It For Dead, And The Case It’s Redeeming Itself

The fear was real and specific. The stock fell roughly 70% peak to trough, including a reported 36% drop in February 2026 alone, on the thesis that AI coding agents, GitHub Copilot with 4.7 million paid users, Cursor at $2 billion in annual revenue, Claude Code, would let developers ship code directly and make ticket-based project tracking beside the point. Why route work through a board if the agent just writes the pull request?
Atlassian’s own leadership named that exact fear within weeks of the low, closing the Q3 shareholder letter with: “In a world where humans will run teams of agents, context is the only anchor to avoid chaos. So we’re asking our customers, are you building a company that forgets or one that compounds?”
The evidence since is dated and real. Cloud growth reaccelerated from 26% to 29% in the quarter reported right near the bottom, then to 31% in Q4, two straight quarters running against the deceleration story, alongside a genuinely clean profitable quarter and the MCP adoption numbers above.

The Bull Case

Contracted commitments are outrunning recognized revenue. Remaining performance obligations, money customers have committed to but Atlassian hasn’t recognized yet, grew 37% and then 44% across the last two quarters, while recognized revenue growth actually eased from 32% to 28%. Customers are committing further ahead even as reported growth cools.
The CEO announced, the same day as the Q4 print, that he intends to personally buy up to $250 million of stock through a scheduled open-market purchase plan. In scale, it’s about 72% the size of the company’s own Q4 buyback, unusually large for a personal insider purchase.
The underlying margin story is real. Non-GAAP operating margin expanded from 25% to 30% over the year, and Atlassian picked up three Gartner “Leader” placements and a Forrester Wave leadership position in the months around the print, plus a new Chief Product Officer hired from Elastic.

The Bear Case

The same guide that shows Cloud reaccelerating also shows the company’s overall growth and margin slowing down. Non-GAAP operating margin is guided from 30% down to 25%, and the very next quarter’s revenue guide implies a sequential decline.
The balance sheet absorbed the cost of all that buying. Deploying capital at more than twice free cash flow drained the cash balance, and stock compensation alone was large enough to keep the full year at a GAAP loss in what was otherwise the company’s best year of growth.
The core question the market was actually worried about is still open. If AI agents eventually take over the coordination work too, not just the coding, the “control plane” pitch stops mattering, and nothing in either quarter’s results settles that either way.

What Settles It

The next quarter’s print, expected around late October 2026: Cloud growth at or above its roughly 28.5% guide, with the agent-adoption numbers still climbing, supports the comeback story; a miss weakens it.
Whether the CEO’s buy plan actually executes. Insider filings showing real purchases over the coming months support the signal; months of silence would undercut it.
Whether the old Data Center product declines exactly on its guided path. Tracking the guide supports the “this is migration mechanics, not falling demand” read; a worse-than-guided slide would raise new questions.

Bottom Line

The disruption fear that took this stock down 70% was specific,, this wasn’t a vague multiple-compression story, it was a real question about whether AI agents make ticket-tracking software obsolete.
Two consecutive quarters of Cloud reacceleration, paired with a genuine product bet on being the coordination layer for agents rather than a casualty of them, is real evidence for the comeback.
The founder’s $250 million buy plan is a genuine signal, correctly sized: small next to the whole company, large next to what the company itself is spending on its own stock.
This says nothing about valuation. No peer comparison or multiple analysis was done here, durability and evidence quality only.

This research is grounded in Atlassian’s own earnings releases, shareholder letters, and product pages, not just the latest quarter.

Disclaimer: This article is for informational and educational purposes only and does not constitute financial, investment, tax, or legal advice. Any opinions, scenarios, price targets, or market observations reflect my personal views and may change without notice. Investing and trading involve substantial risk, including the possible loss of principal. You are solely responsible for your own investment decisions, position sizing, risk management, and trades. Conduct your own research and consult a qualified professional where appropriate.

$SPCX: A Broadband and AI Compute Company With a Rocket Program Attached

Inder Sabharwal — Wed, 05 Aug 2026 17:15:53 GMT

Data as of the Q2 2026 10-Q and same-day earnings call, August 4, 2026. Call statements are management commentary, unaudited and not part of the filing. Not investment advice.

SpaceX just filed its first quarterly report as a public company, and it confirms what the merger chain (Twitter into xAI in March 2025, xAI into SpaceX in February 2026) already hinted at: the company everyone still thinks of as a rocket maker is now mostly a satellite broadband business bolted to an AI infrastructure buildout, with launch the smallest segment by revenue. The earnings call added the part the filing couldn’t: management telling us, in its own words, what the AI business is actually for.

What SpaceX Does and How It Makes Money

Three segments, one company. Space sells rocket launches and government development contracts. Connectivity sells Starlink satellite broadband to consumers, enterprises, and governments. AI is Grok, the X platform, and, increasingly, cloud compute rented out to customers.

The segment picture:

The profitability picture is the opposite of the public image: Connectivity is the only segment making money on GAAP operating income. AI lost money operationally but ran positive on Adjusted EBITDA. Space lost on both. Add it all up and the company still ran a $143M operating loss this quarter.

What’s Actually Driving the Revenue

Starlink is the engine. At 55% of revenue, Connectivity is the only segment profitable on GAAP operating income and the biggest Adjusted EBITDA contributor (+$2,597M of the company’s $3,538M). Enterprise & Government (+108.3% to $1,806M) is growing faster than Consumer (+44.4% to $2,485M).
The growth is volume, not price. Subscribers doubled to 12.0M, but ARPU fell 22.4% to $66/month from $85 as the mix shifted toward cheaper international and consumer plans – the funnel is widening even as each user pays less.
AI is the fastest grower but the most capex-hungry and still GAAP-unprofitable – more on that in a moment.
Space grew in Q2 but shrank over the half. Q2 revenue rose 29% (Shotwell cited $6B+ of new U.S. contracts won in the quarter [CALL]), but first-half revenue fell 1.9% (17 customer launches vs 21 a year ago), and the segment lost money on both operating income and Adjusted EBITDA.

The AI Business, In Full

What it is: Grok, the X platform (subscriptions and ads), and AI compute infrastructure, all inherited through the xAI merger. Nameplate compute reached 1.4 GW at quarter-end, 3.5x a year ago.

What’s growing: compute for rent, not Grok - Musk said on the call he expects “maybe 10%” of SpaceX’s compute to go to Grok training, with the rest split between running inference for SpaceX’s own products and renting capacity out [CALL] – he didn’t say how that remaining ~90% splits. - The Q2 numbers back him up: AI Solutions & Infrastructure revenue went from $311M to $2,194M, with ~$1,600M of the increase coming from cloud services the filing says SpaceX “began to offer” this year, versus $258M from Grok/X subscriptions. Advertising actually fell 13.9% to $367M during a platform transition. The CFO tied the $1.6B ramp to new cloud agreements at the Colossus and Colossus 2 sites [CALL]. - Training Grok is a minority use of the buildout. The revenue growth is selling capacity.

Where the AI revenue came from, this quarter vs. a year ago:

The customer concentration is extreme, straight from the filing: an unnamed “Customer B” is 19.5% of total revenue, AI-only; add “Customer A” (18.3%, spanning all three segments) and two customers are ~38% of the company. Management named Google and Anthropic on the call as AI customers [CALL], but the agreements they described ramp after June 30 – they tell you about the forward mix, not who was actually paying in Q2.
The contracts are also short-notice: a new risk factor [10-Q] discloses that cloud agreements are generally cancelable on 90 days’ notice after ramp. That’s a class-wide term, not specific to any customer, but this revenue isn’t locked in the way Space’s backlog is.
The loss-vs-EBITDA gap is mostly depreciation timing: the GAAP loss was $1,257M (better than $1,524M a year ago, though the first-half loss still widened 51.5%), while Adjusted EBITDA swung to +$1,146M from a $276M loss. AI took 86% of quarterly capex, and $12,554M of construction-in-progress isn’t depreciating yet. That’s a real signal, but not automatic convergence – new capacity brings new depreciation with it.
The forward bet is contractual: $27,955M in non-cancelable commitments, $22,244M of it due in 2027. And SpaceX is now, per Musk, exclusive to Nvidia [CALL] – one vendor on supply, concentrated customers on revenue.
The financing has a governance wrinkle: $13,329M of the buildout runs through “failed sale-leaseback” deals with Valor Equity Partners, whose founder sits on SpaceX’s board.
Beyond Grok: a $60B all-stock Cursor acquisition closes in Q3. Competitively, per dated reporting [3P]: Grok is #3 in US chatbot share (~17.8% as of January 2026, behind ChatGPT’s 52.9% and Gemini’s 29.4%), plateauing since March, smaller than Anthropic or OpenAI standalone.

What the AI buildout has spent, and what it’s still on the hook for:

The Bull and Bear Case

What Settles It

New named-scale AI customers beyond the confirmed Google/Anthropic ramps – broadening supports the compute thesis; another quarter of two-customer dependence weakens it.
AI’s GAAP loss trajectory as in-service assets catch up – movement toward positive EBITDA supports the depreciation story; a widening gap weakens it.
Capex against guidance: the CFO guided the next two quarters similar to Q2’s ~$18.4B, with a stated end-2026 target above 2 GW [CALL]. Landing near guidance with revenue attached supports the buildout math; slippage weakens it.
Near-term catalysts: the Cursor close (Q3 2026) and progress toward the final Spectrum Acquisition Closing (pending, 2027-2028).

Bottom Line

is now a profitable broadband segment, an AI land grab, and a rocket program in one ticker. Launch is 12% of revenue, and Connectivity is the only segment with positive GAAP operating income.
Starlink answers “what drives revenue”: 55% of sales, the largest share of segment EBITDA, growth from doubling subscribers while ARPU falls 22%.
The AI business is, by management’s own account, mostly not about training Grok: ~10% of compute for Grok training per Musk, the rest split between internal use and rental. The growth is cloud capacity, the bulk of the segment’s disclosed increase, sold under contracts generally cancelable on 90 days’ notice, with two customers at ~38% of revenue (the AI-only one plausibly Anthropic, the other unidentified), $22.2B committed for 2027, a single-vendor Nvidia supply chain, related-party financing, and a flagship datacenter under litigation – all while Grok sat third in reported US chatbot share as of January 2026.
The market’s excitement and the AI business overlap but aren’t identical, and its current preference is unsettled: $SPCX trades at a premium to a same-growth, GAAP-profitable comp unless you take management’s $100B ARR target at face value, and the muted reaction to a beat is consistent with AI skepticism – but the lock-up overhang muddies any clean read.
The 2027 commitment bill is the fulcrum: $22.2B is due either way. What changes is whether the revenue against it is diversified, durable, and large enough to outrun the depreciation now entering service.

Primary sources: SpaceX Form 10-Q for the quarter ended June 30, 2026 (filed 2026-08-04) and the same-day earnings call transcript. [10-Q] = filed report. [CALL] = unaudited management statements, not part of the filing. [3P] = third-party/press reporting, dated where known, including the PLTR valuation comp. The Customer A/B discussion is our inference (B from dated deal reporting, A from elimination reasoning), unconfirmed by SpaceX. The AI revenue table is a bridge of disclosed year-over-year changes; its residual line is the unexplained gap in that bridge, not a reported revenue line. Valuation figures are self-computed from cross-checked market cap and revenue data, not independently audited. Analysis of public disclosures, not investment advice, and not a recommendation to buy, sell, or hold any security.

DigitalOcean’s AI Pivot Is Accelerating. Can the Economics Keep Up?

Inder Sabharwal — Tue, 04 Aug 2026 17:22:34 GMT

What the company does and how it makes money

_{Source: digitalocean.com/products.}

DigitalOcean is trying to provide everything needed to build and run an AI application:
- It’s own GPUs and data centers, traditional cloud infrastructure and access to more than 70 AI models through one connection.
- Tools that give models access to private company data and managed AI agents.
- Because the entire stack operates within DigitalOcean customers can avoid some data-transfer fees.
- The economic bet is that owning the hardware will improve margins if demand keeps the GPUs busy.
- The risk is that DigitalOcean must spend the money before that demand and revenue arrive.
In production at named customers (company case studies): Character.ai serves 1B+ queries a day on its AMD Instinct GPUs; Workato runs 1T+ automation tasks on the Inference Engine, citing 67% lower cost.
No segment P&L is disclosed; ARR cohorts and an AI split stand in: AI Customer ARR $234M (+212% YoY), 20.8% of $1,125M total ARR (+29% YoY). 85% of AI ARR is from Inference Services and Core Cloud, not bare-metal rental (CEO); Inference grew roughly 800% YoY off a small base.
Large customers drive the mix: $1M+ ARR customers +214% YoY (23% of revenue); $500K+ 26% (+160%); $100K+ 35% (+98%). The top 25 are only 20% of ARR, so not concentrated, at least for now.

The business

Q2 revenue $281M, +29% YoY, accelerating from Q1’s +22% and beating expectations. Q3 guided to $304-307M (+32-34%); full-year raised to $1.17-1.18B (roughly 30.5% growth) with a stated Q4 exit rate of “35% or more.”
Adjusted profitability looks strong: 40% adjusted EBITDA margin ($114M, +27% YoY), 24% adjusted operating margin, and $63M of first-half adjusted free cash flow, in line with the 11-13% full-year guide.
GAAP tells a different story: operating income $29M (-18% YoY), net income $35M (-4% YoY), and first-half operating cash flow of $157M essentially flat (+0.2% YoY) against 25%+ revenue growth.
June 30 balance sheet: $767M cash against $921M total debt plus $578M of finance lease obligations. In July DigitalOcean equitized $472M of its 0% 2030 convertible notes with minimal cash and dilution; pro forma net leverage 0.7x.

The bull case

RPO (remaining performance obligations) of $894M, up 12x YoY, with $366M recognizable within 12 months, above the company’s own pre-announced “>$800M.”
A record $93M of incremental ARR (+191% YoY), the most in company history. Management said new data-center capacity contributed “very little” to it, pointing to demand against existing capacity.
The story itself is a market force: DOCN trades, in part, as a smaller, more direct claim on the AI-infrastructure buildout than a hyperscaler, without a neocloud’s commodity-rental shape. The gap is one customers can name: in a company-published testimonial, an AI-startup founder picked DigitalOcean because hyperscalers “don’t have any GPUs left” and cheap data centers have “fragile reliability,” while it offered “availability but also reliability at scale.” Naming it is not endorsing it: story-driven demand moves stocks independent of fundamentals, and it cuts both ways.

The bear case

GAAP operating income fell 18% and net income fell 4% while first-half operating cash flow stayed flat, even as revenue grew 25%+. Every profitability number celebrated on the call was adjusted. Neither management nor a single analyst addressed the GAAP decline. A working hypothesis, unconfirmed: the back-half-loaded buildout ($94M of first-half capex) is driving depreciation ahead of revenue.
The capacity build carries costs now, revenue later: the majority of the 155MW comes online by end of 2027, and the CFO suggested it is late in the year for new commitments to move 2027 much.
GPU unit economics are a black box: asked directly about AMD-vs-NVIDIA economics, the SVP of AI declined, a real non-answer on a material gross-margin driver.
No valuation read available. After a roughly +164% YTD run into the print (vs. Fastly +126%, Cloudflare +43%, Akamai +35%), the evidence speaks to growth quality, not to whether it is cheap or expensive.

What settles it

The Q3 2026 report: revenue vs. the $304-307M guide. At or above supports the acceleration story; a miss weakens the 35%+ exit-rate path.
A GAAP explanation. If buildout depreciation is the driver, disclosure should say so or the gap should narrow as capacity revenue lands; silence plus a widening gap weakens the adjusted-margin narrative.
Formal 2027 guidance, whenever it is issued. A number at or above 50% supports the reiterated framing; anything below weakens it.

Data and market conditions as of August 4, 2026. Historical snapshot, not auto-updated.

Premarket Report, Tuesday, August 4, 2026

Inder Sabharwal — Tue, 04 Aug 2026 13:24:38 GMT

Situational Awareness

🕊️ Iran talks status is contradicted between the two sides. Trump said Monday that talks with Iran were under way and he wanted to give Tehran “every last chance” before renewed strikes; Iran’s Foreign Ministry spokesman said the same day that Tehran has no meetings with US officials planned and is not engaged in talks. Markets are pricing Trump’s framing, not Iran’s denial, S&P 500 closed Monday just shy of its record (7,620.90), Nasdaq +2.1%, Dow hit a fresh record (53,178.41). Watch for the gap between the two sides’ public statements to matter if either escalates.
📡 The optics/photonics rally has a real, specific anchor: a reported FCC/Trump-administration plan to ban Chinese-made optical transceiver imports for AI data centers. Reuters reported the FCC is drafting a ban on next-generation Chinese transceiver modules, citing cybersecurity/data-leakage risk; China’s Zhongji Innolight (27% of global transceiver share) was already placed on the Pentagon’s military-backed company list in June. The policy would lock Chinese competitors out of a fast-growing market and funnel demand to US-based makers, direct beneficiaries are $AAOI, $COHR, $LITE, $GLW, $FN. This is a genuine regulatory catalyst, not generic sector sympathy off Monday’s Iran de-escalation, which is how this was first characterized here this morning before the specific driver was confirmed. The broader chip-equipment/memory basket (Marvell, SanDisk, Western Digital, Lam Research, and others still up 5-8% without their own fresh prints) is separate and does still read as Iran-de-escalation-driven sympathy.
🏗️ A mega-cap beat-and-raise morning: $PLTR and $CAT both posted major top-and-bottom-line beats with guidance raises. See Top Calls, this is today’s real signal, not the sympathy basket.
🔌 Second-degree AI read-through: $CAT’s Power & Energy segment (+17%, power generation specifically +29%) is explicitly tied to data-center buildout demand, a non-tech name capturing AI capex spend through power generation equipment, not chips.

Top Calls

$AAOI +17.4% (+20%+ intraday per some sourcing; up 60%+ from its recent lows) · regulatory · High, Direct beneficiary of the reported FCC plan to ban Chinese optical transceiver imports, a US-based maker of the exact hardware category the ban would protect. Not an earnings move (EPS/revenue surprise figures are stale prior-quarter data and don’t apply here).
$PLTR +15.3% · STRONG-borderline (70) · High, Adj EPS $0.41 vs $0.35 est (+18.5%), revenue $1.94B vs $1.80B est (+93% YoY), US commercial +149% YoY. Raised FY26 revenue guide from $7.65-7.66B to $8.15-8.16B, a real guide raise, not just a beat. 9th consecutive quarterly beat.
$CAT +11.5% · vol-gated SKIP, pending 9:30 confirmation · High, Adj EPS $8.17 vs $6.20 est (+31.8%), revenue $20.5B (+24% YoY, first quarter ever above $20B). Construction Industries +35%, Power & Energy +17% on data-center-tied power generation +29%. Raised FY26 revenue growth guide to mid-to-high-teens from low-double-digits.
$AMRC +39.8% · STRONG⭐ (75) · Medium, Continuing from yesterday’s after-hours print (revenue beat +10.6%, mixed EPS); premarket gap has extended sharply further this morning.
$W +18.9% · CAND+ (67) · Medium, Beat both lines by most accounts (EPS $0.95 vs $0.87 est, revenue $3.52B vs $3.45B est, +7.5% YoY), though sourcing disagrees on the exact surprise direction, see Setups.
AEIS * * + 14.8INSP +14.6% / LIFE * * + 23.1PAY +9.6% / $CTOS +10.1% · vol-gated SKIP, pending 9:30 confirmation · Medium, All five continuing from yesterday’s after-hours prints (see yesterday’s after-hours report for the original thesis on each); today’s premarket gaps are the cumulative move since yesterday’s regular close.
$GRAB +5.2% · news_driven, gap below scan threshold · Medium, Revenue $997M +22% YoY, adjusted EBITDA +54% YoY to $168M, net income +571% YoY. Raised full-year guidance, announced a $750M buyback. Below the 8% scan gate but a genuinely strong print from a name whose stock already moved most of this yesterday (+5.1% regular session, +3% AH), today’s premarket gap is a small residual.
⚠ $DOCN −9.6% · earnings, Q2 2026 · High significance, negative, Not on the premarket up-only scan (a documented screen limitation, it only filters gap-UP moves). Genuinely strong print (revenue $281M +29% YoY beat, RPO $894M up 12x YoY, guidance raised) selling off on a real GAAP profitability wrinkle. See Setups for the full read.

The Setups

$AAOI

Applied Optoelectronics is the clearest single beneficiary of a reported FCC/Trump-administration plan to ban Chinese-made optical transceiver imports for AI data centers (Reuters). The policy targets next-generation transceiver modules on cybersecurity/data-leakage grounds; China’s Zhongji Innolight, which holds roughly 27% of global transceiver share, was placed on the Pentagon’s military-backed company list back in June. AAOI makes the same category of hardware domestically and would be a direct share-gain candidate if the ban lands. Up 60%+ from its recent lows on this and the broader optics move; today’s premarket gap alone is 17%+. $COHR, $LITE, $GLW, and $FN are moving on the same catalyst, with AAOI showing the largest percentage response of the group.

$PLTR

Palantir’s Q2 2026 was a clean double beat with a guidance raise across every key metric management gives. Adjusted EPS $0.41 vs. $0.35 expected, revenue $1.94B vs. $1.80B expected, revenue growth accelerating to 93% YoY. US commercial revenue specifically grew 149% YoY to $764M, up 380% since 2024. Management raised full-year 2026 revenue guidance from $7.65-7.66B to $8.15-8.16B and US commercial guidance from $3.22B to “in excess of” $3.42B, a real forward raise, not just a backward-looking beat. This is the 9th consecutive quarter of beating estimates.

$CAT

Caterpillar’s Q2 2026 beat was unusually large: adjusted EPS $8.17 vs. $6.20 expected, a 32% surprise. Revenue $20.5B, +24% YoY and the first quarter the company has ever cleared $20B. Construction Industries led at +35% (North American construction demand +50%), and Power & Energy grew 17%, with the power-generation sub-segment, largely data-center-tied, up 29%. Management raised full-year revenue growth guidance to mid-to-high-teens from a prior low-double-digits target. The stock’s own relative strength has been weak coming in, so this reads as a reversal off underperformance more than confirmation of an already-strong trend, same shape as several other prints this cycle.

$AMRC

Continuing from last night’s after-hours print (revenue beat 10.6%, mixed EPS). The premarket gap has extended sharply since, from roughly 24% after hours last night to nearly 40% this morning, with the conference call’s color from yesterday now more fully priced in.

$W

Wayfair’s Q2 2026 beat both lines by most reporting: EPS $0.95 vs. $0.87 expected, revenue $3.52B vs. $3.45B expected (+7.5% YoY). One flag: sourcing disagreed on the exact EPS surprise direction and magnitude, and on the immediate market reaction, this wasn’t resolved before publish, so treat the specific beat percentage as approximate pending a cleaner read later today, not the headline beat-and-raise itself.

$AEIS / $INSP / $LIFE / $PAY / $CTOS

All five are continuing from yesterday’s after-hours prints, see yesterday’s after-hours report for each name’s original thesis (AEIS: FY26 growth target raised, data-center revenue +102% YoY structural story; INSP: EPS surprise +159% following a guidance-cut quarter; LIFE: large revenue beat, small-cap with elevated short interest; PAY: clean beat backed by strong existing trend; CTOS: EPS beat, call happened this morning). Today’s premarket gaps are each name’s cumulative move since yesterday’s regular-session close, not a new catalyst.

$GRAB

Grab’s Q2 2026 print was strong across the board: revenue $997M (+22% YoY), adjusted EBITDA +54% YoY to $168M, more than double the pace of revenue growth, meaning real operating leverage, not just top-line growth. Net income +571% YoY to $235M. On-Demand GMV +21% YoY to $6.5B with a record 54M monthly transacting users. Management raised full-year guidance and announced a $750M share buyback. Most of the move already happened yesterday (+5.1% regular session, +3% after hours); today’s premarket gap is a smaller residual on top of that.

$DOCN

DigitalOcean’s actual Q2 2026 numbers were strong: revenue $281M (+29% YoY, beat), RPO $894M (up 12x YoY, beat the company’s own pre-announced “>$800M” guide), AI Customer ARR +212% YoY to $234M, record $93M incremental ARR (+191% YoY). Full-year guidance was raised to $1.170-1.180B (30-31% growth), with Q3 guided even higher at 32-34% YoY. Despite all of that, the stock is down roughly 9.6% this morning. The specific wrinkle: operating income fell 18% YoY and net income fell 4% YoY even as adjusted EBITDA margin held at 40%, a real GAAP-vs-adjusted profitability gap inside an otherwise excellent print, combined with a stock that had already run ~150% YTD and pre-announced most of this good news on 7/7. Reads as sell-the-news on a real margin wrinkle, not a demand problem.

R10.1 Second-Entry Watch

$KNSA (STRONG⭐⭐ on 7/28) is at day 5 of its second-entry window today, the tail end of the days-4-6 range this framework watches.

Bottom line

Today’s highest-conviction print is $PLTR, a real guidance raise on top of a double beat, not just a number that cleared a bar.

📊 Read this on SignalDeck.live.

Not financial advice. For informational and educational purposes only.

$PLTR: a sovereign-AI arms dealer printing 93% growth, with America driving ~90% of the new revenue

Inder Sabharwal — Tue, 04 Aug 2026 12:39:29 GMT

What The Company Does And How It Makes Money

Palantir sells operating-system software for institutions: Gotham for defense and intelligence, Foundry for corporations, and AIP (its Artificial Intelligence Platform, the layer that puts LLMs to work on a customer’s own data) across both.
US government: $809M, 42% of revenue, +90% Y/Y. The original franchise, exposed to US government procurement and budget cycles, still growing rapidly.
US commercial: $764M, 39% of revenue, +149% Y/Y. The line most closely tied to the AIP and sovereignty thesis, and the fastest-growing of the three.
International (commercial + government): ~$362M, 19% of revenue, +33% Y/Y (derived from filed segment math). Company-wide adjusted gross margin is 86%; per-line margins are not disclosed.

The Business

Revenue $1.935B, +93% Y/Y, +19% Q/Q, against a raised full-year guide of $8.150-8.158B (+82%).
Margins expanded while growth accelerated: 47% GAAP operating margin, 62% adjusted; Rule of 40 (growth rate plus adjusted operating margin) of 155. This quarter’s GAAP net income ($1.062B, 55% margin) exceeded ALL of Q2 2025 revenue ($1.004B), arithmetic verified against the filing.

Cash machine: $1.22B Q2 adjusted free cash flow (63% margin); $9.2B in cash and Treasuries with zero debt as of June 30, 2026.
Q2 2026 billings ($2.072B) exceeded recognized revenue in dollars, +88% Y/Y; RPO (contracted, non-cancelable future revenue) $4.90B, +102% Y/Y; net dollar retention 157%.

The Bull Case

The growth-profitability combination is the story: 93% growth, 62% adjusted operating margin, GAAP profitable, against an ~$8.15B FY revenue guide.
Contract-value indicators remain strong: record $2.132B US commercial TCV (total potential lifetime contract value closed), +153%; US commercial RDV (remaining deal value) $6.238B, +124%; US commercial customers +35% Y/Y to 653 (TTM count, June 2026).
Everything raised mid-year: revenue, US commercial revenue (at least 134% growth), adjusted operating income, and adjusted FCF ($4.5-4.7B), extending an eight-quarter beat-and-raise pattern through Q2 2026.
Management’s thesis, now in its own words: customers “have declined to become vassal states of the language labs,” and Palantir is paid, in Karp’s words, “as a derivative of value creation,” rather than “for clicks or tokens or chats” (shareholder letter). Management’s framing, not established fact, but the bookings are consistent with it.

The Bear Case

International produced under 10% of the growth. It was 27% of prior-year revenue but contributed just $90M of the $932M Y/Y increase, growing 33% against the 93% headline. Mix fell from 27.1% to 18.7%; the “global platform” is a US-demand story.
~44x forward sales, after the raise. Using diluted weighted-average shares (2.569B) as a rough proxy for period-end shares, the $139.44 AH print implies roughly $358B of diluted value against the $8.154B guide midpoint, a directional gauge, not an official market-cap print, with no view here on whether it is justified.
Guidance itself encodes deceleration. The Q3 guide ($2.160-2.164B) plus the full-year midpoint imply Q4 of ~$2.42B, roughly +72% Y/Y, down from 93% now.
The bookings assume nothing walks. By the company’s own definitions, TCV and RDV presume every contract option is exercised, and most contracts allow termination for convenience (their own risk disclosure).

What Settles It

The Q2 10-Q and any official call transcript: the RPO step-change (Q3’25 $2.60B to Q4’25 $4.08B) remains unexplained in the same-day reporting reviewed; an explanation, plus international pipeline color, supports or weakens the durability read.
The Q3 print (around early November 2026, typical cadence): international growth reaccelerating toward the company average supports the global story; another quarter of ~30% Y/Y growth weakens it.
Q3 actual vs. the $2.16B guide. A ninth straight beat-and-raise supports the bulls; an in-range landing supports the guided glide toward ~72%. Karp set his own bar on the call, growth “equal to or above what we have in U.S. commercial for the next 18 months” (secondary reporting; a stated aspiration, not formal guidance). The next two prints provide the first tests of it.

Bottom Line

The reported quarter is exceptionally strong. Growth, margins, and cash all strengthened; the softer spots (international mix, total TCV +49% lagging revenue +93%, a cautionary signal though TCV includes optional and terminable value, so not a clean apples-to-apples) live in the bear case, not the headline numbers.
You are underwriting something narrower than the headline: growth is disproportionately US commercial and US government; international is real but growing far slower.
The multiple prices continuation while the guide points down: at ~44x forward sales, the market is paying for the beat-and-raise pattern to persist through a guided deceleration to ~72%. Even after the +10.8% AH move ($125.86 to $139.44), the stock sits ~33% below its $207.52 52-week high.
Watch for two missing facts before extrapolating: an RPO step-change explanation (management may never provide one) and any sign of international reacceleration over the next quarter or two.

Market Signals - Sunday August 2, 2026

Inder Sabharwal — Mon, 03 Aug 2026 02:36:48 GMT

What hyperscalers confirmed about 2026

We just finished a week of megacap earnings, and the hyperscalers are continuing their aggressive infrastructure spending plans for the rest of 2026.

Spending is still climbing steeply, none of them has reduced its underlying investment plan, and on their own guidance the four megacaps being tracked go from roughly $376B in 2025 to about $719B in 2026.

The 2027 visibility gap

The remaining question is no longer whether the 2026 buildout will happen. It is whether 2026 is the peak or a pause before another leg higher in 2027.

No hyperscaler has provided a formal or comprehensive 2027 capex plan, but GOOGL, AMZN and MSFT pointed past it during their earnings calls.

AI infrastructure beneficiaries will increasingly trade on evidence about 2027 demand, not merely execution against already-known 2026 budgets. Although analysts currently model substantial further capex growth at Alphabet, Amazon and Meta. Microsoft is the clearest illustration of the visibility gap, with no comparable 2027 figure yet available.

Who will fill this capacity?

The spending is real. And here is what the companies said about the demand they are seeing for their services.

"We continue to be supply constrained", per Pichai, and the CFO said it has now been true "multiple quarters in a row".
"Customer demand continues to exceed available supply", CFO Amy Hood of Microsoft.
Jassy, on the ~$220B capex plan: "Even at that amount, we will still not have enough capacity to meet all the demand we have in 2026, and I believe this dynamic will also be true in 2027, too".

The transition to cheaper models

On July 20th, a Chinese startup, Moonshot AI released the openweight Kimi K3 model with 2.8 trillion parameters, which competes directly with the leading models from frontier labs like Anthropic and OpenAI.

Openweight models significantly drop the cost of tokens and cheaper tokens make more AI applications economically viable. The companies with enormous installed customer bases who can now ship AI features to hundreds of millions of users at a fraction of last year’s cost.

Cheaper tokens increase the number of AI agents running in production, the volume of data moving across networks, and the amount of identities and systems enterprises must manage and secure.

This could create new bottlenecks:

Token infrastructure: More tokens require more compute, memory bandwidth, storage, networking and data movement. We know that Kimi K3 hit a GPU capacity wall within 48 hours of release and paused new subscriptions.
Agent management: More agents require orchestration, permissions, monitoring, governance and security.

I explored the fundamental implications in The Cheap-Model Winners: Who Cashes In When AI Gets Commoditized?

Is the Market Beginning to Price This Transition?

Let us look at a few charts.

Cybersecurity ETF

As the number of agents increases securing the agents an enterprise’s network becomes an increasingly big problem.

Identity Management

Okta is becoming the identity control plane for the agent economy, verifying each agent and governing what it can access and do. When asked about the opportunity in front of them during the Q1 call on May 28, 2026, Todd McKinnon the CEO said "The pipeline's bigger than anything we've ever seen."

Market is betting that OKTA will be one of the big winners of the transition to an agent economy.

Gitlab

Gitlab’s Duo Platform enables it’s customers to orchestrate and govern AI agents within their enterprise. I talked about the technical setup earlier in a note.

Hewlett Packard Enterprise

HPE benefits from exploding token usage by supplying the compute and networking infrastructure needed to run and move inference workloads in both public and private clouds.

Nebius Group

Nebius has built up the cloud capacity to globally run training and inference workloads. The stock retained all of it’s 27% gains from Thursday, and is sitting right at it’s 10/100 day. can it build a base from here?

Micron

Micron is the bellwether US memory stock for SDRAM, HBM and NAND storage.

For now it found support at the 100 day in the 700+ area - can it build a base from here?

What happens next?

We are at an interesting spot in the market, and a lot depends on how the overall market behaves from here.

Is this a mean reversion in cybersecurity and software or is it a genuine rotation away from the semis? This is one of the key questions I am waiting to get answered by this market.

As we navigate this tricky market, it is important for the market to prove to us that it is ready for the next leg up. The goal is not to catch the exact bottom, rather it is to participate in the larger move while keeping the risk clearly defined.

Good luck!

The Bull Case for GitLab $GTLB

Inder Sabharwal — Sun, 02 Aug 2026 20:32:21 GMT

Deep-dive, July 28, 2026. GitLab (NASDAQ: $GTLB) reported its latest quarter on June 2, 2026. Price data as of July 28, 2026. A snapshot in time, not auto-updated. Educational only, not financial advice, we never predict where a stock is headed.

📊 Read this on SignalDeck.live.

What GitLab does

One workbench for the entire software-building process: writing code, running automated tests, scanning for security bugs, and tracking who’s working on what, all in one system instead of stitching together separate tools from different vendors.
The customer pitch: one platform, one audit trail. Engineering teams get faster releases and a single place to see everything that happened to their code, which matters most to bigger, regulated companies.
Customers span scrappy startups to regulated banks and large enterprises (Zillow and CSL Behring are named customers this quarter), running GitLab either on their own servers or via GitLab’s cloud.
Where AI actually fits: the coding and review work itself. GitLab’s AI agent product (called “Duo”) can write, review, and test code alongside, or increasingly instead of, human engineers. Three ways AI shows up in the bull case below: new usage-based AI revenue, a new toll-booth product that gets paid even when a customer uses a rival’s AI coding tool, and GitLab’s governance and audit tools getting more valuable, not less, as AI agents write more of the actual code.

What this actually is

A company that just grew revenue 23% while guiding to only 16-17% for the year, at about $34.66 a share and a $5.85B market cap. The bull read: the stock price seems to reflect the cautious guidance, not what the company just delivered, plus a growing pile of near-term signed business, the fastest new-customer growth in 10 quarters, and an AI product management isn’t even counting in its own numbers yet.
The setup: the core, boring business carries the case on its own. Any real AI revenue on top is pure upside to numbers the company just beat.

The boring, durable stuff is working

Revenue $264.2M, up 23% year-over-year, four points ahead of guidance, against a full-year guide of just 16-17%.
Signed-but-not-yet-billed work due in the next 12 months grew 24%, faster than the total backlog (18%), a good sign that more of what’s sold is set to show up as revenue soon rather than sit on the books.
Existing customers spend 17% more per year than they did a year ago, and over 90% stick around at all, growth GitLab gets almost automatically before signing a single new customer.
Customers paying over $100,000 a year grew 18% and now make up more than three-quarters of all revenue, the push upmarket is working.
New customer signings hit their highest count in 10 quarters, up 30% year-over-year, a leading signal for future growth since new customers take time to grow into big accounts.
Adjusted profit margin hit 14%, up about 2 points from a year ago, alongside $146.7M in free cash flow (a 56% margin, helped some this quarter by faster bill collection, so not fully repeatable, but still a strong quarter).
$1.36B sitting in cash and short-term investments, plus roughly 2.4 million shares bought back this quarter and $350M left to keep buying, a real capital-return signal.
GitLab is cutting costs hard: about 14% of its workforce and operations in 22 countries, restructuring charges of $30-35M. Savings get reinvested into the AI push below, and profitability is expected to bottom out this quarter before improving.

The AI upside nobody’s paying for yet

GitLab’s AI agent product (DAP) launched two weeks before the quarter and already generated more new revenue in its first quarter than its two older AI products combined ever did in any single quarter.
It’s already being paid for on a usage basis, close to $20 million a year run-rate at quarter-end. GitLab’s own finance chief told analysts not to build models around that number yet, since it’s just one quarter of data, a refreshingly honest caveat, not a red flag.
A top-10 US bank piloted it and saved 1.5 hours per coding task, with plans to expand the user base roughly 20x.
It’s now sold through Amazon, Google Cloud, and Anthropic’s marketplaces, making it much easier for big companies to actually buy.
Management’s own full-year guidance assumes this AI product contributes basically nothing material. Everything above is upside sitting on top of numbers the company already just beat.
GitLab is also building bigger bets: a rebuilt version of Git (the code-tracking technology nearly every developer uses) done in partnership with an unnamed AI lab, aiming for 100x more scale, and a new product called “GitLab Orbit” that other AI coding tools, not just GitLab’s own, can pay to plug into.

Why this might be a moat, not just a feature

One platform for every way software gets built: by hand, AI-assisted, or fully autonomous, while most competitors only cover one of those. As more coding shifts to AI agents, having one company handle security, audit trails, and permissions across all of it arguably gets more valuable, not less.
Win rates against GitHub (its biggest rival, owned by Microsoft) improved slightly this year, while new-customer signings hit a 10-quarter high.

What the stock costs

About 4 times next year’s expected sales once you subtract GitLab’s cash pile, a reasonable price for a company growing in the high teens to twenties percent with improving margins and an AI product line that isn’t even being counted yet.
Not a screaming bargain on every measure: the company is still posting a loss under standard accounting rules, and its forward earnings multiple (42.6x) isn’t cheap.

The honest counter-case

Overall bookings growth slowed sharply, to 12% from 35% a year ago, a tough comparison, but a real slowdown nonetheless.
Revenue from customers running GitLab on their own servers was flat for the first time since the company went public. Cloud growth is masking that in the blended number.
Smaller customers (paying $5,000+ a year) are barely growing, up just 7%, versus 18% for the big accounts.
About a fifth of GitLab’s revenue comes from price-sensitive customers the company doesn’t expect to recover this year.
Layoffs at GitLab’s own customers, plus one-time M&A-related churn, cost GitLab more seats than expected this quarter.
Companies are getting more hesitant to sign multi-year contracts given the uncertain economy.
That AI revenue number is one quarter old, and the company’s own CFO says not to extrapolate it.
The cost-cutting carries real execution risk: 14% of staff and 22 countries exited, while trying to pull off a major technical rebuild at the same time.

Bottom line

The stock’s price seems to reflect GitLab’s cautious guidance (16-17% growth), not what it actually just delivered (23%) or the improving signs underneath it.
The AI product is early-stage but already real, and it isn’t even counted in the numbers yet, that’s the asymmetry bulls are underwriting.
The single most interesting data point: an AI lab chose to build a rebuilt version of Git with GitLab rather than work around it, a vote of confidence in GitLab’s relevance from inside the AI industry itself.
This only works if GitLab keeps winning enterprise consolidation, its usage-based pricing (“Flex”) lands, and a leaner organization pulls off a technical overhaul without dropping the ball. Watch flat on-prem revenue, weak small-customer growth, and slowing bookings for signs it isn’t.
Read this as a growth-plus-upside story, not a deep-value one: the accounting loss and 42.6x earnings multiple mean the core business has to keep performing for the AI upside to matter.

Educational content, not financial advice. For informational purposes only. Do your own research.

The SAL Liquidation Watchlist: What Citadel May Be Liquidating

Inder Sabharwal — Fri, 31 Jul 2026 19:30:04 GMT

AI-infrastructure growth stocks are giving back some of their earlier gains. One possible explanation is forced selling connected to Citadel’s takeover of a leveraged portfolio—not a sudden deterioration in the companies’ underlying fundamentals. That remains a hypothesis, however, because the fund’s current positions and Citadel’s plans for them are not public.

Yesterday, Citadel reportedly took control of the leveraged public-equity portfolio of an AI-focused hedge fund managing roughly $45 billion after the fund faced a margin call. The watchlist below includes every company publicly linked to the fund. Positions are labeled either Official, based on SEC filings, or Unofficial, based on other public reporting. The purpose is to identify stocks that could face selling pressure if Citadel unwinds the portfolio into this week’s rally—not to claim that any particular position is currently being sold.

Long shares, 28 positions

Actual shares, the ones that would hit the tape if this book gets sold:

Bloom Energy, $878.7M (Official)
SanDisk, $724.4M (Official)
CoreWeave, $556.1M (Official)
IREN Limited, $401.0M (Official)
Core Scientific, $389.1M (Official)
Applied Digital, $320.0M (Official)
Riot Platforms, $142.2M (Official)
CleanSpark, $104.5M (Official)
Solaris Energy Infrastructure, $62.5M (Official)
T1 Energy, $43.9M (Official)
Bitfarms, $38.8M (Official)
Bitdeer Technologies, $29.8M (Official)
Power Solutions Intl, $26.3M (Official)
WhiteFiber, $20.9M (Official)
Advanced Micro Devices, $20.2M (Official)
Babcock & Wilcox, $19.9M (Official)
SharonAI Holdings, $18.1M (Official)
ProPetro Holding, $13.1M (Official)
VanEck Semiconductor ETF, $10.3M (Official)
Intel, $8.9M (Official)
Taiwan Semiconductor, $7.6M (Official)
HIVE Digital Technologies, $6.4M (Official)
ASML Holding, $6.1M (Official)
Micron Technology, $5.9M (Official)
Corning, $0.7M (Official)
Nvidia, $0.5M (Official)
SK Hynix, size unknown (Unofficial; Nasdaq ADR, listed ~July 10th, 1 ADR = 1/10 Korean share)
Nebius Group, size unknown (Unofficial)

Top-heavy: Bloom Energy, SanDisk, and CoreWeave are more than half the total. Much of the rest is the crypto-miner-turned-AI-datacenter trade (IREN, Core Scientific, Applied Digital, Riot, CleanSpark, Bitfarms, Bitdeer, HIVE). The mega-cap names, Nvidia, Micron, Intel, were barely there.

Long calls, 5 positions, bullish (Official)

Micron, $422.3M notional
Taiwan Semiconductor, $354.8M notional
SanDisk, $388.8M notional
CoreWeave, $140.6M notional
Bloom Energy, $55.3M notional

Micron and Taiwan Semiconductor also carry large puts below, more a volatility bet than a directional call.

Long puts, 11 positions, $8.46 billion notional, bearish (Official)

Notional values are the reference-share value, not premium paid.

VanEck Semiconductor ETF, $2,042.7M notional (also owned as shares, tiny: $10.3M)
Nvidia, $1,568.3M notional (also owned as shares, tiny: $0.5M)
Oracle, $1,072.9M notional (no shares owned)
Broadcom, $1,006.2M notional (no shares owned)
Advanced Micro Devices, $969.2M notional (also owned as shares: $20.2M)
Micron, $583.7M notional (also owned as shares, tiny: $5.9M)
Taiwan Semiconductor, $535.1M notional (also owned as shares, tiny: $7.6M)
ASML Holding, $494.1M notional (also owned as shares, tiny: $6.1M)
Intel, $159.1M notional (also owned as shares, tiny: $8.9M)
Corning, $21.0M notional (also owned as shares, tiny: $0.7M)
Infosys, $6.8M notional (no shares owned)

Oracle, Broadcom, and Infosys had no offsetting shares, pure bearish bets. The fund’s overall shape: long small-cap AI infrastructure, short the mega-cap semiconductor complex.

16 more companies, Official, from earlier quarters

Pulled all six SAL 13Fs on file (Q1 2025 through Q1 2026) and diffed them. These appear in an earlier filing but not the March 31st one. That only proves they weren’t in the book on that date, nothing confirms whether they were touched again before July, since no filing covers that gap.

EQT Corp, held all four 2025 quarters, gone by Q1 2026
Cipher Mining, last seen Q4 2025
Coherent Corp, last seen Q4 2025
Hut 8 Corp, last seen Q4 2025
Lumentum Holdings, last seen Q4 2025
Tower Semiconductor, last seen Q4 2025
Kilroy Realty, only Q4 2025
Liberty Energy, only Q4 2025
Vistra Corp, last seen Q3 2025
Galaxy Digital, last seen Q3 2025
Seagate Technology, last seen Q3 2025
Western Digital, last seen Q3 2025
Constellation Energy, last seen Q2 2025
Modine Manufacturing, only Q1 2025
Onto Innovation, only Q1 2025
Talen Energy, only Q1 2025

One wrinkle: Broadcom held actual shares through Q3 2025, vanished in Q4 2025, then came back in Q1 2026 as a put only, no shares. The position didn’t just shrink, it flipped character.

Note: The official holdings come from the fund’s latest available SEC filing and reflect positions as of March 31; no newer filing is available. SK Hynix and Nebius Group are classified as unofficial because neither appears in an SEC filing and both were identified through public internet sources. All listed options were owned by the fund rather than written or sold short. A purchased put is bearish exposure, but closing it does not place shares directly onto the market in the same way that liquidating a stock position does.

Bottom line

26 official stock positions, $3.86 billion, plus 2 unofficial ones (SK Hynix, Nebius), are what’s most exposed if this book gets sold into strength.
$8.46 billion notional in puts, mostly against mega-cap chip and cloud names; three (Oracle, Broadcom, Infosys) with no offsetting stock.
Data is four months old. Treat this as the best available starting point, not a complete or current picture.

Not financial advice. SignalDeck is a research and tracking tool. All trading decisions and their outcomes are your own responsibility.

Amazon's $220B Capex Guide, the $496B Backlog, and the Fine Print Inside a Blowout Quarter

Inder Sabharwal — Fri, 31 Jul 2026 13:11:50 GMT

July 30, 2026 · Amazon Earnings Deep Dive

Amazon’s press release was a very good quarter. The conference call an hour later was where the actual news lived, and none of it is in the filing.

Two numbers to take away. Amazon raised its 2026 capital spending plan to roughly $220 billion, up from about $200 billion, and CEO Andy Jassy blamed the increase on the rising cost of memory chips. And AWS is sitting on a $496 billion backlog of contracted future revenue, growing at triple-digit rates year over year. Neither figure appears anywhere in the earnings release. Read only the filing and you missed both.

The capex raise, and what it costs

Jassy’s words: “We now believe we will spend approximately $220 billion in cash CapEx in 2026. The higher cost of memory pushing this number up from our prior estimate of about $200 billion.”

Notice the reason. Amazon did not attribute the increase to newly found demand, it attributed it to what memory costs. That is a narrow, specific claim, and it is worth separating from two things it is not.

It is not a statement that demand is soft. The opposite: in the same breath Jassy said even $220 billion won’t cover 2026 demand, that 2027 looks the same, and that 2028 demand is “striking.” Strong demand and a cost-driven increase coexist here.

And it is not established that the physical build is unchanged. Amazon gave no cost bridge and no reconciliation of quantities, mix or timing. The one capacity metric on offer is a target to double power capacity by the end of 2027 versus 2025, which Jassy said remains on track, but a power target running eighteen months out is the wrong instrument for detecting a memory-price increase, and a company can hold that target while changing server mix, memory per server, or the timing of spend inside it. So: the raise is cost-attributed, not cost-verified.

Here is the arithmetic nobody did on the call. Amazon spent about $96.3 billion of cash capital in the first half. Hitting $220 billion means roughly $123.7 billion in the back half, call it $61.8 billion a quarter, about 17% above the pace it just ran in Q2. The spending curve gets steeper from here, not flatter.

And Jassy says even that isn’t enough: “Even at that amount, we will still not have enough capacity to meet all the demand we have in 2026, and I believe this dynamic will also be true in 2027. In fact, the demand we already have for 2028 is striking.”

The backlog

$496 billion of contracted AWS business, growing triple digits. One analyst noted the remaining-performance-obligations figure is roughly two and a half times where it stood in the third quarter of last year.

This is the single most important disclosure of the night, and it exists only as spoken words on a conference call. It is the number that makes a $220 billion spending year defensible rather than reckless, Jassy explicitly said the backlog is “all taken into account in our CapEx projections.”

The quarter itself

Revenue of $200.6 billion, up 20%. Operating income of $27.5 billion, up 43%. AWS grew 37% to $42.2 billion, its fastest in eighteen quarters and its fifth consecutive quarter of acceleration. Advertising grew 26% to $19.8 billion, a business now running near $79 billion a year. Headline earnings of $5.75 per share, up 242%.

All of that is real. Some of it is flattered, and it is worth knowing exactly which parts.

The $53.4 billion that isn’t operating income. Amazon disclosed, plainly, that “second quarter 2026 net income includes non-operating pre-tax other income of $53.4 billion, primarily from our investments in Anthropic.” That is a paper mark on a private company’s valuation, not cash from selling anything. It sits behind roughly two-thirds of the quarter’s net income. Strip it out and our rough estimate lands near $1.95 per share rather than $5.75. Amazon didn’t publish that adjusted figure and we’re clear it’s our arithmetic, not theirs, but the gap between $5.75 and something under $2 is the difference between what the headline said and what the business earned.

About $1.2 billion of one-off help inside operating income. Roughly $600 million of tariff refunds, and roughly $600 million from a favorable swing on energy contracts that get marked to market each quarter. The energy piece landed mostly in AWS. Amazon’s own CFO quantified the distortion: AWS margins were up 650 basis points year over year, but only 520 basis points excluding that accounting gain. So the celebrated 39.4% AWS margin is closer to 38% on an operating basis, and it isn’t a record either way, because the first quarter of 2025 printed 39.5%.

Revenue got a calendar gift too. Prime Day landed in the second quarter this year for most large markets. Last year it sat entirely in the third. Amazon quantifies the drag this creates on next quarter’s guidance but never quantifies the boost it gave this one. The boost is real; the size is undisclosed.

None of this makes it a bad quarter. It was an excellent one. It means the reported earnings lines overstate how excellent, while revenue growth, paid units and operating cash flow carry no such asterisk.

Free cash flow went negative, and debt is filling the gap

Trailing-twelve-month free cash flow came in at negative $7.6 billion, down from positive $18.2 billion a year ago, the fifth consecutive decline and Amazon’s first negative reading since 2023. The slide in Amazon’s own deck is still titled “Long-Term Goal – Optimize Free Cash Flows,” which is either institutional inertia or a very dry sense of humor.

The cash-generating machine is fine: operating cash flow was $161.4 billion over twelve months, up 33%. The problem is the bill. Capital spending rose $66.1 billion year over year, which Amazon attributes to artificial intelligence.

Two things the headline numbers hide. Amazon has $29.3 billion of equipment it has acquired but not yet paid for, real commitments that haven’t hit cash flow yet. And it is funding this with debt at serious scale: $67 billion of long-term debt raised in the first half alone, taking long-term debt from $65.6 billion at year-end to $128.9 billion at June 30. It roughly doubled in six months.

Asked directly how the build-out gets funded, Jassy said: “You’ve seen us issue debt this year. We have a lot of options available to us… nothing to share today.” The balance sheet is less coy than he was.

His defense of the spending is genuinely substantive and deserves a fair hearing. Data-center shells absorb capital for about two years before servers go in, then generate revenue for thirty-plus years across five or six generations of hardware. Servers themselves are bought only months ahead of deployment, with demand already visible, “if the demand isn’t there, we won’t spend the capital.” They break even in a little under three years against five-to-six-year useful lives, and most AI capacity is contracted on five-year terms.

He also said the quiet part directly: Amazon will “encounter free cash flow headwinds until these data centers come online, can be monetized, and we get a few years into these servers being utilized.” Nobody should be surprised later.

Asked whether data-center spending might slow in 2027, he didn’t name a year. He talked about how much capacity is already reserved instead.

Two strategy disclosures that weren’t in the filing

Amazon is building its own frontier AI model. Jassy said it outright: “we are pursuing our own frontier model,” motivated by cost control, prioritization and speed. His forecast, within a few years there will be at least half a dozen comparably capable models, all available in Bedrock, “one of them will be ours.”

Trainium may be sold as a standalone chip. Asked about selling Amazon’s AI silicon to third-party data centers, Jassy said customers want it “separate from our cloud,” that Amazon is “actively having those conversations,” and that “I expect there’s a real chance we’ll do that in the future.” That would put Amazon into direct competition with Nvidia as a merchant chip vendor, while, in the same answer, reaffirming a “deep partnership” with Nvidia and noting customers will run Nvidia hardware “for as long as we can foresee.”

One correction to the coverage: OpenAI’s commitment to Trainium is not new. It was announced in February, part of a package that included Amazon investing $50 billion in OpenAI and expanding their compute agreement by $100 billion over eight years. It also explicitly includes Nvidia hardware alongside Trainium, and OpenAI’s largest compute relationship remains with Microsoft. Tonight’s mention was a restatement, not a reveal.

The pattern worth noticing

Three of America’s largest technology companies reported inside nine days, and all three posted earnings materially inflated by paper gains on equity stakes.

Alphabet booked a $99.0 billion gain on equity securities on July 22, adding $6.26 to earnings per share, and never said what the securities were. Microsoft booked $3.2 billion from Anthropic on July 29. Amazon booked $53.4 billion on July 30, the largest such mark any company has explicitly tied to an AI lab.

Only two of the three told shareholders what got marked. And across a full hour of questions from six analysts, not one asked Amazon about the largest non-operating item in its income statement.

What could go wrong

The bear case was already in motion before Amazon reported. Roughly $890 billion came off the largest tech names in the week of July 20-27, with Alphabet’s selloff pinned squarely on its own capital-spending increase. Alphabet’s free cash flow is negative $5.9 billion. Oracle’s is worse. Amazon’s is now negative too. This is starting to look less like one company’s investment cycle and more like a sector paying cash today for revenue it hopes arrives later.

The cost-driven nature of Amazon’s raise cuts against it as well. If components keep getting more expensive while servers take just under three years to break even, the payback math gets tighter. To be fair to management: signed contracts hold their pricing, and new contracts get priced against current costs, which protects new business but leaves the existing backlog absorbing the inflation.

And a valuation mark that adds $53.4 billion at a $965 billion private valuation can subtract on the next round.

Bottom line

The call carried the news, not the filing, a $220 billion spending plan, a $496 billion backlog, a first-party AI model, and merchant chip sales under consideration. None of it in the release.
The reported earnings lines overstate a genuinely excellent quarter. Operating income up 43% is closer to 37% excluding one-off items; the 39.4% AWS margin is nearer 38% and isn’t a record; $5.75 in earnings is closer to $1.95 without the Anthropic mark.
The cash story has quietly become a debt story. Free cash flow is negative, long-term debt doubled in six months, and Amazon’s own CEO says the pressure continues until the data centers earn their keep.
AWS is the biggest cloud, not the fastest-growing one. Its 37% trailed Google Cloud’s 82% and Azure’s 43% this season, off a far larger base, which is the honest frame.
The most useful thing here for anyone outside Amazon: memory. One of the largest technology buyers on the planet just said memory prices are high enough to move a $200 billion plan by 10%, named memory chips in its own risk disclosures, and echoed a complaint Microsoft made in April. That’s confirmed cost pressure running through the biggest buyers, which points at the memory and storage suppliers, Micron, SK Hynix, Samsung, and the drive makers, and lines up with what we wrote about memory supply agreements on July 25. One caution: buyers complaining about prices confirms today’s shortage, not that it lasts. Memory is the most cyclical input in semiconductors, and nothing disclosed here tells you where in that cycle we are.

The Capex Number Nobody Can Call a Peak Anymore

Inder Sabharwal — Fri, 31 Jul 2026 12:37:02 GMT

Your daily premarket briefing, brought to you by SignalDeck.live.

Situational Awareness

📈 Futures green, led by tech. Dow +0.5%, S&P 500 +0.3%, Nasdaq-100 +1%. Thursday’s rebound is extending rather than fading, with $AMZN holding its overnight gain.
💰 The four hyperscalers now guide to $720-745B of combined 2026 capex. That is the number that ends the “AI capex has peaked” argument that drove the month-long semis drawdown. Semis were the worst 1-month cohort we track (-17.8%) going into this week.
🛢️ Oil majors printed windfalls. $XOM and $CVX both reported Q2 gains on elevated crude from the US-Iran energy shock. Energy is the strongest 1-month cohort on our board (+11.0%), and it has been leading quietly while everyone watched semis.
🇰🇷 South Korea committed $880B over ten years to semiconductors and AI infrastructure, with Samsung and SK Hynix together putting up $518B toward new fabs. $SKHY is +6.2% premarket on roughly 2x relative volume, one of the few names moving on real volume.
🏛️ Tomorrow is the White House AI pre-release review deadline (Aug 1). 1,134 employees across the frontier labs signed a letter on 7/28 asking Washington for tooling to pace development. A policy overhang worth tracking, not yet a tradeable event.

Bellwether Watch:

🟢 $AMZN, HOLDING and now confirmed. +10.5% premarket, holding the full overnight move rather than giving it back. AWS +36.7% accelerating for a fifth straight quarter, capex to ~$220B, $496B backlog. The operating-line strength is real; the EPS line still carries a $53.4B non-operating Anthropic mark and TTM free cash flow is negative at -$7.6B.
🔴 $AAPL, CRACKING further. -7.6% premarket, extending below Thursday’s after-hours drop. Beat both lines, then guided down on supply constraints. The market is weighting the guide, and it is weighting it harder this morning than it did last night.

Top Calls

$REPL +132% · regulatory · High, FDA advisory committee voted 10-3 that RP1’s efficacy data is clinically meaningful, overruling its own staff reviewers. Class 1 action date Aug 2.
$AXTI +37% · STRONG⭐⭐ (87) · High, datacenter optical connectivity inflection, record indium phosphide quarter. The only name today that cleared the volume gate.
$COHU +22% · vol-gated · Medium, semi test utilization hit 80%, management’s stated trigger for renewed customer capex.
$NWL +18% · vol-gated · Medium, EPS surprise +112% against a consensus that expected a 21% YoY decline.
$MPWR +11% · vol-gated · Medium, EPS +10.7%, revenue +8.6% surprise.
$AMZN +10.5% · vol-gated · Medium-High, see Bellwether Watch.
NVT * * + 8.8ETN +8.2% · vol-gated · Medium, the datacenter power complex printing together.

Six of seven fresh prints returned SKIP on the volume gate. That is a measurement artifact of scoring before the 9:30 open, not a verdict: premarket relative volume cannot reach a full-session threshold. Treat them as provisional until re-scored after the open. $AXTI is the exception and cleared it outright.

The Setups

$REPL, +132%, the day’s cleanest catalyst. - FDA advisory committee voted 10-3 that the IGNYTE efficacy data is evaluable and clinically meaningful, directly contradicting FDA staff scientists who had argued the single-arm design couldn’t establish contribution to benefit. - 33.6% objective response rate in anti-PD-1-refractory advanced melanoma, a population with high unmet need. - Third attempt. The BLA was rejected in July 2025 and again in April 2026. Class 1 action date is Aug 2. - Premarket move is on 17.7x relative volume, by far the heaviest on the board.

$AXTI, +37%, the only clean EP score today. - EP-γ 87, STRONG⭐⭐, on rVol 2.96. Cleared the volume gate that stopped every other name. - Record quarterly indium phosphide revenue, the substrate under the lasers in high-speed optical transceivers. This is a component-level read on optics demand, not general semis drift. - EPS surprise +164%, revenue surprise +40%. - Second day of the move: +27% Thursday, +24% after hours, +37% now. Short float was 17.6% going in.

$COHU, +22% - Semiconductor test utilization rose to 80%, which management names as the level where customers resume capital spending. - HPC pipeline $850M, plus a $26M single-customer order booked in early July. - The caution: revenue surprise was only +3.3% against an EPS surprise of +86%. The beat is cost and mix, not demand.

$NVT +8.8% and ETN + 8.2 − **NVT: revenue surprise +12.0%, EPS +15.9%. The cleaner of the two prints. - $ETN is the $163B bellwether here. Last quarter it reported datacenter orders up 240% and electrical backlog up 48%, and put total datacenter backlog at 228 GW. - Two names in the same niche beating on the same morning is a cohort signal, not two coincidences.

$NWL, +18% - EPS surprise +112% against a consensus looking for a 21% YoY decline. A low bar cleared by a wide margin. - Not an AI name and not in any leadership cohort. Included because the surprise magnitude is genuine.

The Down Prints (context, not setups)

Neither is a call. This framework screens gap-ups with catalysts, so a down move has no setup in it, and nothing here is a short idea.

$RBLX, -19.5%. Q2 revenue $1.46B (+36%) and bookings +8%, but DAU came in at 123M against 128.7M expected, and Q3 bookings guidance of $1.58-1.65B implies a 14-18% YoY decline, roughly 9% under consensus. Cause is a deliberate discovery-algorithm change favoring long-term retention over immediate monetization, which crushed under-13 spending. Self-inflicted and strategic, which is a different risk than demand loss.
$AAPL, -7.6%. See Bellwether Watch.

Yesterday’s Calls, One Day On

$AXTI +37% premarket, from +24% after hours. Followed through hard.
$COHU +22%, from +18% after hours. Followed through.
$AMZN +10.5%, from +9.5% after hours. Held the move overnight and added to it.
$AAPL -7.6%, from -6% after hours. Extended lower.
$COIN flagged as a negative call at -6.5% after hours on a revenue and EBITDA miss.

Four of five moved further in the direction called. The one genuinely useful lesson: $AXTI was vol-gated to SKIP last night on after-hours volume and scores STRONG⭐⭐ this morning on the same underlying print. The gate was measuring the session, not the setup.

Bottom line: $REPL is the highest-conviction catalyst on the board, an FDA panel overruling its own staff reviewers two days before the action date. $AXTI is the cleanest scored setup and the only name that cleared the volume gate.

📊 Read this on SignalDeck.live.

Not financial advice. For informational purposes only. Do your own research.

Podcast Companion: No FOMO

Inder Sabharwal — Fri, 31 Jul 2026 02:08:53 GMT

Welcome back.

Today, I want to talk about the sharp rebound in the Nasdaq—and why, even after a strong day, there may be no reason to feel FOMO.

Yesterday, I pointed out an interesting similarity in the QQQ chart.

After breaking out in June 2025, QQQ advanced about 17% before peaking in November. It then experienced a drawdown of roughly 13%.

The current sequence looks remarkably similar, although it has played out much faster.

Following its April 2026 breakout, QQQ also gained about 17%, before declining nearly 12%.

Markets never repeat themselves perfectly. But when the structure and percentages line up this closely, the comparison becomes useful.

Now, after today’s sharp rebound, investors who were not positioned may feel that they have already missed the move.

I do not think that is necessarily the right conclusion.

If the recent low holds and this develops into another sustained advance, the market may still be near the beginning of the move—not the end.

Using the previous advance as a rough analogue, a 30% to 35% move from the recent low would place QQQ somewhere in the 875 to 900 range.

But let me be very clear:

That is not a prediction. It is a scenario.

The market still needs to confirm it.

I would want to see four things.

First, the recent low must continue to hold.

Second, QQQ needs to reclaim and sustain the important resistance levels above it.

Third, market breadth needs to improve. A healthy advance should involve more than just a handful of mega-cap technology stocks.

And fourth, leading stocks need to break out—and then hold those breakouts.

The important point is that there is no need to chase a single strong session.

If a durable uptrend is beginning, there should be time to build exposure gradually as the market confirms itself.

The goal is not to catch the exact bottom.

The goal is to participate in the larger move while keeping risk clearly defined.

Right now, the market is offering early evidence that the correction may be ending.

If that evidence strengthens, the larger opportunity may still lie ahead.

So: no FOMO, no blind prediction, and no need to chase.

Watch the evidence. Define the risk. Build exposure deliberately.

Good luck, and keep learning.

Disclaimer: This podcast is for informational and educational purposes only and does not constitute financial, investment, tax, or legal advice. All opinions, market scenarios, and price targets reflect personal views and may change without notice. Investing and trading involve substantial risk, including the possible loss of principal. You are solely responsible for your own research, risk management, and investment decisions.

No FOMO

Inder Sabharwal — Fri, 31 Jul 2026 01:23:33 GMT

Where we have been?

Yesterday, I pointed out the striking similarity between the current QQQ drawdown and the correction we saw earlier in the cycle.

After breaking out in June 2025, QQQ advanced approximately 17% before peaking in November. That move was followed by a drawdown of roughly 13%.

The current sequence has been remarkably similar, although it has unfolded on a much more compressed timeline. QQQ advanced approximately 17% following its April 2026 breakout and subsequently declined nearly 12%.

The percentages are almost identical, and markets rarely repeat themselves perfectly. But the structure is similar enough to be useful.

What comes next?

Today’s rebound will create FOMO among investors who were not positioned. But one strong day does not mean the opportunity has passed.

If the recent low holds and QQQ begins another sustained advance, a 30%–35% move from that low would place it in the 875–900 range.

That is not a prediction. It is a scenario.

For the thesis to strengthen, I want to see:

The recent low continue to hold.
QQQ reclaim a
nd sustain key resistance levels.
Market breadth improve.
Leading stocks break out—and hold those breakouts.

There is no need to chase one strong session. If a durable uptrend is beginning, there will be time to build exposure as the market confirms itself.

The goal is not to catch the exact bottom. It is to participate in the larger move while keeping risk defined.

Right now, the market is offering early evidence that the correction may be ending. If that evidence strengthens, the larger opportunity may still lie ahead.

Good luck, and keep learning.

Premarket Briefing, July 29, 2026

Inder Sabharwal — Wed, 29 Jul 2026 13:21:12 GMT

Situational Awareness

🏛️ FOMC decision 2 PM ET, press conference 2:30 PM, the day’s master switch. CME-priced odds sit at roughly 64% for a hold (3.50-3.75%) and 36% for a 25bp hike, odds that have moved fast from just ~11% two weeks ago on Iran-driven oil/inflation fears. A 50bp+ move is priced at effectively zero. $META reports today after the close (call 4:30 PM ET) and $MSFT reports today too, hours after the Fed decision (call 5:30 PM ET), landing right on top of whatever the Fed does. $AAPL and $AMZN follow Thursday.
🌏 The KOSPI/Asian-chip selloff is still unwinding. KOSPI fell another leg Tuesday into Wednesday after Monday’s historic -10.84% crash (worst one-day decline since the early US-Iran conflict), a Korean retail margin-leverage bubble unwinding (record margin loans, 1.2M margin calls, hundreds of thousands of forced liquidations), compounded by CXMT’s blockbuster Shanghai IPO (a real, newly-capitalized 4th DRAM competitor) and China’s first domestic DUV lithography tools entering production. Full mechanics in yesterday’s SignalDeck deep-dive. Watch for whether this bleeds into today’s US semiconductor tape.
🛢️ Oil holding in the $80s WTI as the fragile US-Iran attack pause continues into a further day, not a formal ceasefire, still real re-escalation risk on any new strike.
📅 Four of the Magnificent Seven report this week, two today ($META, MSFT), twoThursday(AAPL, $AMZN), all landing in the same week AI-capex guidance (Alphabet’s $195-205B raise, Amazon’s expected capex-guide hike, Meta’s $125-145B FY26 guide) is under the market’s most skeptical scrutiny of the cycle.

Bellwether Watch: - 🟢 $TER: HOLDING, reinforced. Real premarket confirmation today (+9.4% on 1.27x relative volume) of yesterday’s after-hours print: revenue $1.329B (+104% YoY), beating TER’s own guided range of $1.15-1.25B, non-GAAP EPS $2.47 (+300%+ YoY), and a Q3 guide midpoint of $2.00 versus a Street consensus of just $1.44, a guide that alone implies a beat larger than most companies’ actual quarters. This lands the same week SK Hynix, Samsung, and the whole KOSPI complex cracked on leverage and China-competition fears. Read: the AI-driven demand for semiconductor test/measurement equipment looks genuinely intact; the crack elsewhere in the chip complex is concentrated in Korean leverage and competitive-threat repricing, not (yet) in this piece of underlying demand.

Top Calls

A programming note: every name below cleared its earnings-beat threshold on real, verified financial data, but scored SKIP on the framework’s mechanical volume/gap gate, because premarket relative volume structurally can’t clear a full-session-calibrated threshold before the 9:30 ET open (the same pattern ENSG showed on 7/27, and TER itself showed after-hours on 7/28). These are genuine beats; treat the mechanical tag as “pending confirmation,” not as a judgment on the print itself.

$TER +9.4% · vol-gated, pending 9:30 confirmation · High: revenue $1.329B (+104% YoY), beat its own guided range; Q3 EPS guide midpoint $2.00 vs. $1.44 consensus. See Bellwether Watch.
$MANH +11.4% · vol-gated, pending 9:30 confirmation · Med-High: revenue $297.8M, non-GAAP EPS $1.39 vs. $1.34 est.; cloud revenue +26% YoY, RPO $2.47B; FY26 guidance raised across every line.
$NEO +13.7% · vol-gated, pending 9:30 confirmation · Med: EPS $0.05 vs. $0.03 est., revenue beat; NGS segment +26% YoY; adjusted EBITDA guidance raised.
$GNRC +9.1% · vol-gated, pending 9:30 confirmation · Med: net sales +11% to $1.17B; FY26 guidance raised across consolidated, Commercial & Industrial, and Residential segments, C&I momentum explicitly tied to data-center demand.
$GEHC +8.8% · vol-gated, pending 9:30 confirmation · Med: revenue $5.3B (+5.7% YoY), adjusted EPS $1.13 vs. $1.04 est.; orders +11.1%, book-to-bill 1.15x, backlog $23.9B; reaffirmed FY26 guidance. CFO departure disclosed same release.
$HAYW +8.5% · vol-gated, pending 9:30 confirmation · Med: beat on both lines; FY26 net-sales guidance raised to ~5% growth from ~4%.
$LFUS +8.2% · vol-gated, pending 9:30 confirmation · Med: beat on both lines per the framework’s surprise metrics; prior guidance already called for results above the analyst consensus set in May.
$BE +8.0% · fresh earnings, mixed by mechanical gate · High (as a fact): Q2 revenue beat ~29%, EPS beat ~92-95%, FY26 guidance raised to 100% YoY growth. Continuation of yesterday’s full SignalDeck deep-dive; the live Hunterbrook short-seller dispute remains unresolved. Gap landed at 7.95%, a hair under the framework’s 8% size gate.

The Setups

$TER

Teradyne’s after-hours print from 7/28 confirmed on real volume this morning: revenue $1.329B, up 104% YoY and above its own guided range of $1.15-1.25B, with non-GAAP EPS of $2.47, up over 300% YoY, on record Memory-segment revenue (DRAM strength plus a NAND final-test resurgence). The Q3 guide is the real headline: EPS midpoint of $2.00 against a Street consensus of just $1.44, a guide alone larger than most companies’ whole quarterly beats. Significance: this is a semiconductor equipment company benefiting from AI-driven test demand across the wafer-to-datacenter chain, reporting the same week Korea’s chip complex cracked on leverage and competitive fears, direct evidence that the underlying AI-driven demand this sub-theme depends on is intact even as sentiment cracks elsewhere.

$MANH

Manhattan Associates beat on every line: revenue $297.8M against $272.4M a year ago, non-GAAP EPS $1.39 against a $1.34 estimate, cloud revenue up 26% YoY, and remaining performance obligations reaching $2.47B. Management raised full-year guidance across revenue, GAAP EPS, and adjusted EPS simultaneously, and management’s own framing cited record bookings. Significance: continued strength in enterprise supply-chain software spend, a genuine acceleration signal (cloud growth outpacing total company growth) rather than a one-line beat.

$NEO

NeoGenomics beat on both lines (EPS $0.05 vs. $0.03 estimate, revenue $201.7M vs. $199.0M estimate) with its Next-Generation Sequencing segment growing 26% YoY and clinical-business revenue up 14% on a mix of price and volume. Management raised adjusted EBITDA guidance to $56-58M from $55-57M. Significance: margin expansion is arriving alongside growth, not instead of it. The guidance raise is modest in dollar terms but directionally clean.

$GNRC

Generac beat with net sales up 11% to $1.17B and raised full-year guidance across all three reporting segments, consolidated net sales to mid-to-high-teens growth, Commercial & Industrial to mid-to-high-20s (up from low-to-mid-20s), and Residential to roughly 10%. Management explicitly tied the Commercial & Industrial strength to data-center demand. Significance: this is a second-order AI-infrastructure read-through, backup power and grid-adjacent equipment demand rising alongside the same datacenter buildout driving chip and memory demand elsewhere in this report.

$GEHC

GE HealthCare beat on both lines (revenue $5.3B, +5.7% YoY; adjusted EPS $1.13 vs. $1.04 estimate, aided by tariff refunds and a lower tax rate) with strong forward indicators: organic orders up 11.1%, a 1.15x book-to-bill ratio, and a $23.9B backlog. Full-year guidance was reaffirmed, not raised. Significance: the CFO’s departure (effective August 14, with an interim CFO already named) landing in the same release as an otherwise clean beat is worth tracking into the next print. A reaffirm-not-raise on strong underlying metrics can go either way depending on how conservatively the base guide was already set.

$HAYW

Hayward Holdings beat on both lines (net income $45.6M, a 14.3% margin; adjusted EPS $0.27) and raised full-year net-sales growth guidance to roughly 5%, up from a prior ~4% guide. Significance: a modest but genuine raise, worth tracking alongside the broader pattern of industrial names lifting margins this quarter without needing outsized revenue beats to do it.

$LFUS

Littelfuse beat on both lines per the framework’s own surprise calculations, continuing a pattern that started with Littelfuse’s own May guidance (which had already been set above the analyst consensus at the time, on Basler-integration outperformance). Exact dollar figures for today’s actual print were not independently re-confirmed via search at the time of this run; treat the framework’s surprise metrics as the more current source until a press-release cross-check is done.

$BE

Bloom Energy’s premarket extends yesterday’s after-hours pop (covered in a full SignalDeck deep-dive): a genuine beat-and-raise (revenue beat ~29%, EPS beat ~92-95%, FY26 guidance raised to 100% YoY growth), still sitting on top of an unresolved short-seller dispute (Hunterbrook Media’s scandium-supply and 40x backlog/RPO allegations) that management has not numerically rebutted across three separate public statements. Today’s gap landed at 7.95%, a hair under the framework’s own 8% size gate, not a reflection of the print’s quality.

Bottom line

Today’s real story is $TER’s Q3 guide (midpoint $2.00 vs. $1.44 Street) landing the same week Korea’s chip complex cracked on leverage, not demand: the clearest evidence yet that this divergence is real.

📊 Read this on SignalDeck.live.

Not financial advice. For informational purposes only. Do your own research.

The Real Story Inside SK Hynix’s Record Quarter.

Inder Sabharwal — Tue, 28 Jul 2026 23:30:55 GMT

Deep-dive, July 28, 2026. SK Hynix (NYSE American/Nasdaq: $SKHY, Korea: 000660) reported after the close July 28 US time (morning July 29 in Korea). A snapshot in time, not auto-updated. Educational only, not financial advice, we never predict where a stock is headed.

SK Hynix makes memory chips, the DRAM and NAND flash that go into every phone, laptop, and AI server on earth, plus HBM, the specialized high-bandwidth memory that sits right next to NVIDIA and AMD’s AI chips and is one of the tightest bottlenecks in the entire AI buildout. Tonight’s numbers look absurd on the surface: profit that’s larger than revenue. Here’s what’s actually real, what isn’t, and why it matters well beyond this one stock.

The number everyone will quote, and why it’s misleading

Net profit came in at 118% of revenue. That’s not a typo. The company made more in “profit” than it took in as sales.
Here’s why: roughly two-thirds of that profit didn’t come from selling a single memory chip. SK Hynix owns an 18-19% stake in Kioxia, a Japanese chip maker, bought years ago for about $2.7 billion. Kioxia’s own stock has shot up 12-14x since its IPO, riding the same AI-memory boom. Accounting rules require SK Hynix to mark that stake to its current market value every quarter, and this quarter that mark-up alone added the equivalent of roughly $43 billion to their profit.
That’s a real number on paper, but it’s not cash, and it’s not from the actual chip business. No money changed hands. It’s a paper gain on a stock they happen to own, and it will swing their reported profit up or down every quarter depending on what Kioxia’s stock does, completely separate from how many memory chips SK Hynix actually sells.
Ignore the 118% number for judging the business. Look at the real operating results instead, and those are genuinely excellent on their own.

The real business did very well

Revenue: roughly $54 billion, up 51% from last quarter, up 257% from a year ago. A record.
Operating profit: roughly $41 billion, a 76% operating margin. Also a record, the fifth record quarter in a row.
Prices, not just volume, drove this. Memory chip prices (DRAM) rose about 30% in a single quarter; flash storage prices (NAND) rose about 50%, even faster. The company sold somewhat more chips too, but the price increases did most of the work.
Almost all of the extra revenue turned into profit. Costs only grew 22% while revenue grew 51%, meaning the pricing gains weren’t eaten up by higher expenses.

But it actually missed expectations, here’s why that’s misleading too

Wall Street analysts expected roughly $57 billion in revenue and roughly $44 billion in operating profit. SK Hynix came in about 6% below both. On the surface, a miss.
But this was already priced in two weeks ago. On July 13, one Korean brokerage cut its own forecast after realizing that older long-term supply contracts capped how much SK Hynix could actually charge, even while the open market price kept climbing. That note alone caused the stock’s worst single-day drop on record (down over 15%). Tonight’s actual results landed almost exactly where that revised, lower forecast said they would.
So tonight isn’t really a surprise. It’s a confirmation of a reset the market already made. And today’s stock decline before the earnings came out (down about 9% during the day, then more after hours) was caused by a broad selloff across chip stocks generally, not by anything specific to SK Hynix.

The contract story, and why you asked about it

The reason SK Hynix couldn’t fully capture this quarter’s soaring prices: older supply contracts had built-in price caps. Think of it like a landlord who signed a 3-year lease before rents doubled, they’re stuck at the old rate until the lease is up.
SK Hynix just fixed this going forward. As of early July, they reportedly removed price caps from their newest contracts entirely, reportedly the only major memory maker to do this (their two biggest rivals still cap prices in exchange for guaranteed floors). The new contracts instead track the market price more closely, while still protecting SK Hynix’s downside with minimum-price guarantees and large upfront deposits from customers (10-30% of the contract’s total value, reportedly), for deals stretching 3-5 years with customers like Microsoft and Google.
The specific product that fixes this: HBM4, the newest generation of their AI memory chip, which just started shipping and ramps up through the rest of the year. As the old, capped-price contracts get replaced by this new generation (priced under the new, uncapped terms), the “drag” on pricing should partially go away. Not completely, and not overnight, but that’s the mechanism.
This cuts both ways, worth being honest about. Removing the price cap means SK Hynix keeps more upside while the shortage lasts. It also means less protection if the memory market ever turns down before these new, longer contracts expire. It’s a real trade-off, not a free upgrade.

Who else this actually affects

Micron and Samsung’s memory business: there are only three real players in this market. When one of them raises prices this much, it’s a signal about the whole industry, not just SK Hynix, good news for the other two, though how much they each benefit still depends on their own contracts and costs.
Kioxia: the Japanese company behind SK Hynix’s paper gain. Its own stock’s huge run confirms the AI flash-storage boom is bigger than just one company, and the two companies’ fortunes are now linked, permanently, through that stake.
NVIDIA, AMD, and every major AI company: SK Hynix is the leading supplier of HBM, the memory chips that sit directly next to AI processors. Locking in ~10 years’ worth of major customers on multi-year contracts confirms memory supply, not just chip supply, is a real bottleneck in building AI infrastructure.
PC and phone makers (Dell, HP, Lenovo, Apple, and Android phone makers): SK Hynix openly said it’s had to ration supply away from PCs and phones toward AI/server customers who pay more. That likely means higher memory costs, or supply headaches, for everyday laptops and phones in the months ahead.
Chip equipment makers (Applied Materials, Lam Research, KLA, Tokyo Electron): SK Hynix is accelerating its factory buildout, not just maintaining the old plan, but actually pulling construction timelines forward. That’s a likely tailwind for the companies that sell them the machines to do it.
The memory industry’s boom-bust reputation: memory chips have always been one of the most brutally cyclical businesses around, big booms followed by crushing busts. If more of the industry moves toward these longer, deposit-backed contracts, it could mean less of that historic boom-bust whiplash going forward. That’s a real possibility to watch, not a settled outcome yet.

What the stock costs and what’s next

The stock fell hard heading into tonight (down more than 30% over the past month, and a record-setting one-day crash on July 13), separate from tonight’s actual results, and a big chunk of that decline was already the market catching up to what tonight confirmed.
What to watch from here: how fast the new HBM4 chips ramp up (the thing that fixes the pricing problem), whether Kioxia’s stock keeps swinging SK Hynix’s reported profits around, whether Samsung catches up on AI memory technology, and whether SK Hynix, sitting on close to $47 billion in net cash, announces a bigger buyback or dividend.

Bottom line

Ignore the “118% profit margin” headline, that’s mostly a paper gain on a stock they own, not the memory business. The real story is a 76% operating margin and a fifth straight record profit quarter, which stand on their own.
The “miss” versus Wall Street’s expectations was real, but the market front-ran it two weeks ago. Tonight mostly confirmed what a July 13 analyst downgrade already priced in.
The actual structural story is the contract shift: price caps removed, replaced by deposits and price floors, with the newest AI memory chip (HBM4) doing the work of fixing the pricing problem through the rest of the year. More upside now, but real added risk if the cycle ever turns.
The ripple effects reach Micron, Samsung, NVIDIA, AMD, chip-equipment makers, and eventually your next laptop or phone’s price tag.

📊 Read this on SignalDeck.live.

Educational content, not financial advice. For informational purposes only. Do your own research.

Podcast Companion: The Bull Case for GitLab

Inder Sabharwal — Tue, 28 Jul 2026 21:45:59 GMT

Introduction

Imagine running a factory where every worker suddenly becomes ten times faster.

That sounds wonderful.

But now imagine that many of those workers are autonomous machines. They can build things, change things, and send those changes into production without waiting for a human.

Productivity rises. So does the risk of something going wrong.

Someone still needs to control the factory floor, inspect the work, enforce the rules, and keep a record of every decision.

That is the simplest version of the bull case for GitLab.

AI may change who writes the code. GitLab wants to remain the place where that code is planned, tested, secured, approved, and deployed.

What GitLab actually does

Building software involves much more than typing code.

Teams must store that code, test it, scan it for security problems, track changes, coordinate projects, and eventually release the finished product.

Historically, companies often bought a different tool for each job.

Think of it as a workshop assembled from several manufacturers. One company supplies the power tools. Another provides the security system. A third keeps the project schedule. Then someone has to make everything work together.

GitLab’s pitch is simpler: put the entire workshop under one roof.

One platform. One audit trail. One place to see what happened to the code from the moment someone planned a change until that change reached a customer.

For a startup, that can make development easier.

For a bank, pharmaceutical company, or other regulated enterprise, it can be essential. Those organizations need to know who changed the code, whether it passed security checks, and who approved its release.

GitLab can run in its own cloud or on a customer’s infrastructure. That flexibility helps it serve both modern software companies and large organizations with strict security requirements.

The direct AI opportunity

GitLab’s AI product is called the Duo Agent Platform.

These agents can help write, review, and test code inside the same platform customers already use.

Duo became generally available only two weeks before the quarter ended. Yet it immediately generated more new recurring revenue than GitLab’s two older AI products had produced together in any previous quarter.

Paid usage was running at an annualized rate of nearly $20 million by quarter-end.

That sounds exciting, but it comes with an important warning.

GitLab’s chief financial officer explicitly told analysts not to build that figure into their models yet. It represents only one quarter of data, and some of the demand could reflect excitement surrounding the launch.

That caution is healthy. The number is evidence of early demand, not proof of a durable revenue stream.

There are encouraging customer examples.

A top-10 American bank tested Duo and reported saving roughly 1.5 hours per coding task. The bank expects the number of active users to grow approximately twentyfold if the broader deployment proceeds.

GitLab is also selling Duo through the Amazon Web Services, Google Cloud, and Anthropic marketplaces.

That may sound like administrative detail, but enterprise purchasing can resemble airport security. Every additional checkpoint slows things down.

Selling through marketplaces customers already use removes checkpoints and makes the product easier to approve and purchase.

Most importantly, management assumes Duo will make no material contribution to its full-year revenue guidance.

The existing platform must therefore carry the forecast. If Duo adoption continues, that revenue could arrive on top of what management currently expects.

That is the AI optionality in the story.

The larger AI platform bet

GitLab is making a larger bet than simply selling its own coding agent.

It also wants to benefit when customers choose someone else’s.

Its proposed context service is called GitLab Orbit.

Think of an AI coding agent as a very talented new employee.

On its first day, that employee may understand programming, but it does not understand your company. It does not know why past decisions were made, how your systems connect, which policies must be followed, or what previous developers already tried.

That organizational memory is the context.

GitLab wants Orbit to supply it.

Outside tools such as Claude Code, Cursor, and Codex could plug into that context and pay GitLab based on usage.

If this works, GitLab would not need to win every competition for the best coding agent. It could become the tollbooth that different agents pass through to understand a customer’s software environment.

GitLab is also working with an unnamed AI lab on a major rebuild of Git, the underlying technology developers use to track changes to code. The goal is to support 100 times the current scale.

The identity of that AI lab has not been disclosed, but the partnership itself is meaningful.

An AI company has chosen to build foundational infrastructure with GitLab instead of simply routing around it.

The larger vision is one platform supporting three ways of developing software:

Humans writing code manually.
Humans working alongside agents.
Autonomous agents performing more of the work themselves.

Across all three, companies still need identity, security, permissions, and an audit trail.

In fact, those controls may become more important as machines gain more freedom to alter production software.

More autonomous workers can mean more productivity. They can also mean more doors that need locks.

The financial foundation

The financial results suggest GitLab does not need to wait for this AI vision to support the business.

Quarterly revenue reached roughly $264 million, growing 23% from the previous year. That was four percentage points ahead of guidance.

Management, however, is guiding to only 16% to 17% growth for the full year.

That gap matters.

The optimistic interpretation is that management has set a cautious bar while the underlying business is performing better.

The portion of signed business expected to become revenue within the next 12 months grew 24%.

New customer signings increased 30% and reached their highest absolute count in 10 quarters.

Existing customers are spending about 17% more than they were a year ago, while gross retention remains above 90%.

The large-enterprise business is particularly strong.

GitLab now has more than 1,500 customers spending at least $100,000 annually. That group grew 18% and represents more than three-quarters of total recurring revenue.

The largest customers are not merely experimenting with GitLab. They are building more of their software operations around it.

GitLab is also improving profitability.

Its adjusted operating margin reached 14%, approximately two percentage points better than a year ago.

Free cash flow was unusually strong at nearly $147 million. Faster customer collections helped that figure, so it should not be treated as a normal quarterly run rate.

The company also holds roughly $1.36 billion in cash and short-term investments. It repurchased approximately 2.4 million shares during the quarter and still has $350 million available under its buyback authorization.

That balance sheet gives GitLab room to invest while the market changes around it.

The technical setup

There is also a technical setup behind the fundamental story.

GitLab’s stock has spent roughly six months building a base. Within that larger pattern, buyers have repeatedly stepped in at progressively higher levels.

The area around $35 has become an important technical boundary.

A convincing move above that area would suggest the stock is leaving its base. Failure to hold the recent higher lows would weaken the setup.

The broader software sector has also been improving. Several software stocks have held up well even during weaker trading in the Nasdaq, suggesting that investors may be rotating back toward the sector.

None of this guarantees a breakout.

The chart simply provides a way to judge whether the market is beginning to agree with the fundamental thesis.

The counter-case

First, growth beneath the headline is uneven.

Bookings grew only 12%. Revenue from customers running GitLab on their own servers was flat, while smaller customers grew just 7%. The cloud and enterprise businesses are carrying more of the load.

Second, software seats remain under pressure.

Layoffs at GitLab’s customers are reducing seat counts, and price-sensitive customers represent about one-fifth of recurring revenue. GitLab’s shift toward usage-based pricing may help, but it has not yet been proven.

Third, the AI evidence is very early.

The Duo figures represent one launch quarter, and the company’s own chief financial officer has warned investors not to extrapolate them.

Fourth, execution risk is rising.

GitLab is cutting 14% of its workforce and exiting 22 countries while attempting an ambitious technical rebuild. A leaner organization could become faster, but it also has less room for mistakes.

And this is not a cheap stock in the traditional sense.

GitLab remains unprofitable under standard accounting rules and trades at more than 40 times forward adjusted earnings. The existing business must continue performing for the AI optionality to matter.

What to watch

There are six things worth monitoring from here.

First, revenue growth compared with management’s 16% to 17% guidance. If growth remains closer to the latest 23% result, the cautious-guidance argument becomes more credible.

Second, watch bookings, near-term contracted revenue, and new customer signings. Together, they tell us whether today’s demand can become tomorrow’s reported growth.

Third, watch the split between cloud and self-managed subscriptions, along with growth among smaller customers. The enterprise business is working. GitLab still needs a healthy pipeline beneath it.

Fourth, watch Duo—but do not extrapolate one launch quarter. The important evidence will be sustained usage, broader deployments, and recurring customer expansion.

Fifth, watch the restructuring. The bull case requires GitLab to improve efficiency without damaging sales or delaying its platform rebuild.

Finally, watch the $35 area and the relative strength of the broader software sector.

The chart should confirm the thesis, not replace it.

Bottom line

The GitLab story comes down to one question:

As AI agents write more software, does the platform surrounding the code become less important—or more important?

The bull case says more important.

When one human writes code, governance is useful.

When thousands of autonomous agents can write, test, and deploy code around the clock, governance becomes essential.

GitLab does not need to create every worker in the AI software factory. It needs to control the factory floor.

The existing business provides the foundation.

Duo provides direct AI revenue.

Orbit could allow GitLab to collect a toll from outside agents.

And its governance layer may become more valuable as software development becomes increasingly autonomous.

But this remains a growth-plus-optionality case, not a deep-value case.

The durable platform must keep compounding for the AI upside to matter.

This article is for educational and informational purposes only. It is not financial advice. Do your own research.

The Bull Case for GitLab

Inder Sabharwal — Tue, 28 Jul 2026 18:00:53 GMT

Educational only, not financial advice, we never predict where a stock is headed.

What GitLab does

One workbench for the entire software-building process: writing code, running automated tests, scanning for security bugs, and tracking who’s working on what, all in one system instead of stitching together separate tools from different vendors.
The customer pitch: one platform, one audit trail. Engineering teams get faster releases and a single place to see everything that happened to their code, which matters most to bigger, regulated companies.
Customers span scrappy startups to regulated banks and large enterprises (Zillow and CSL Behring are named customers this quarter), running GitLab either on their own servers or via GitLab’s cloud.
Where AI actually fits: the coding and review work itself. GitLab’s AI agent product (called “Duo”) can write, review, and test code alongside, or increasingly instead of, human engineers. Three ways AI shows up in the bull case below: new usage-based AI revenue, a new toll-booth product that gets paid even when a customer uses a rival’s AI coding tool, and GitLab’s governance and audit tools getting more valuable, not less, as AI agents write more of the actual code.

What this actually is

A company that just grew revenue 23% while guiding to only 16-17% for the year, at about $34.66 a share and a $5.85B market cap. The bull read: the stock price seems to reflect the cautious guidance, not what the company just delivered, plus a growing pile of near-term signed business, the fastest new-customer growth in 10 quarters, and an AI product management isn’t even counting in its own numbers yet.
The setup: the core, boring business carries the case on its own. Any real AI revenue on top is pure upside to numbers the company just beat.

The boring, durable stuff is working

Revenue $264.2M, up 23% year-over-year, four points ahead of guidance, against a full-year guide of just 16-17%.
Signed-but-not-yet-billed work due in the next 12 months grew 24%, faster than the total backlog (18%), a good sign that more of what’s sold is set to show up as revenue soon rather than sit on the books.
Existing customers spend 17% more per year than they did a year ago, and over 90% stick around at all, growth GitLab gets almost automatically before signing a single new customer.
Customers paying over $100,000 a year grew 18% and now make up more than three-quarters of all revenue, the push upmarket is working.
New customer signings hit their highest count in 10 quarters, up 30% year-over-year, a leading signal for future growth since new customers take time to grow into big accounts.
Adjusted profit margin hit 14%, up about 2 points from a year ago, alongside $146.7M in free cash flow (a 56% margin, helped some this quarter by faster bill collection, so not fully repeatable, but still a strong quarter).
$1.36B sitting in cash and short-term investments, plus roughly 2.4 million shares bought back this quarter and $350M left to keep buying, a real capital-return signal.
GitLab is cutting costs hard: about 14% of its workforce and operations in 22 countries, restructuring charges of $30-35M. Savings get reinvested into the AI push below, and profitability is expected to bottom out this quarter before improving.

The AI upside nobody’s paying for yet

GitLab’s AI agent product (DAP) launched two weeks before the quarter and already generated more new revenue in its first quarter than its two older AI products combined ever did in any single quarter.
It’s already being paid for on a usage basis, close to $20 million a year run-rate at quarter-end. GitLab’s own finance chief told analysts not to build models around that number yet, since it’s just one quarter of data, a refreshingly honest caveat, not a red flag.
A top-10 US bank piloted it and saved 1.5 hours per coding task, with plans to expand the user base roughly 20x.
It’s now sold through Amazon, Google Cloud, and Anthropic’s marketplaces, making it much easier for big companies to actually buy.
Management’s own full-year guidance assumes this AI product contributes basically nothing material. Everything above is upside sitting on top of numbers the company already just beat.
GitLab is also building bigger bets: a rebuilt version of Git (the code-tracking technology nearly every developer uses) done in partnership with an unnamed AI lab, aiming for 100x more scale, and a new product called “GitLab Orbit” that other AI coding tools, not just GitLab’s own, can pay to plug into.

Why this might be a moat, not just a feature

One platform for every way software gets built: by hand, AI-assisted, or fully autonomous, while most competitors only cover one of those. As more coding shifts to AI agents, having one company handle security, audit trails, and permissions across all of it arguably gets more valuable, not less.
Win rates against GitHub (its biggest rival, owned by Microsoft) improved slightly this year, while new-customer signings hit a 10-quarter high.

What the stock costs

About 4 times next year’s expected sales once you subtract GitLab’s cash pile, a reasonable price for a company growing in the high teens to twenties percent with improving margins and an AI product line that isn’t even being counted yet.
Not a screaming bargain on every measure: the company is still posting a loss under standard accounting rules, and its forward earnings multiple (42.6x) isn’t cheap.

The Technicals

has now formed a 6 month base, in a classic VPC pattern popularized by Mark Minervini.
Each of the 3 small bases represents higher lows where the buyers have stepped in to support the stock. A decisive move above the $35 area would be the technical confirmation I’m watching.
the software ETF has bottomed and is solidly green, and so are many other software names on a weak Nasdaq tape, indicating a strong rotation into software stocks.

The honest counter-case

Overall bookings growth slowed sharply, to 12% from 35% a year ago, a tough comparison, but a real slowdown nonetheless.
Revenue from customers running GitLab on their own servers was flat for the first time since the company went public. Cloud growth is masking that in the blended number.
Smaller customers (paying $5,000+ a year) are barely growing, up just 7%, versus 18% for the big accounts.
About a fifth of GitLab’s revenue comes from price-sensitive customers the company doesn’t expect to recover this year.
Layoffs at GitLab’s own customers, plus one-time M&A-related churn, cost GitLab more seats than expected this quarter.
Companies are getting more hesitant to sign multi-year contracts given the uncertain economy.
That AI revenue number is one quarter old, and the company’s own CFO says not to extrapolate it.
The cost-cutting carries real execution risk: 14% of staff and 22 countries exited, while trying to pull off a major technical rebuild at the same time.

Bottom line

The stock’s price seems to reflect GitLab’s cautious guidance (16-17% growth), not what it actually just delivered (23%) or the improving signs underneath it.
The AI product is early-stage but already real, and it isn’t even counted in the numbers yet, that’s the asymmetry bulls are underwriting.
The single most interesting data point: an AI lab chose to build a rebuilt version of Git with GitLab rather than work around it, a vote of confidence in GitLab’s relevance from inside the AI industry itself.
This only works if GitLab keeps winning enterprise consolidation, its usage-based pricing (“Flex”) lands, and a leaner organization pulls off a technical overhaul without dropping the ball. Watch flat on-prem revenue, weak small-customer growth, and slowing bookings for signs it isn’t.
Read this as a growth-plus-upside story, not a deep-value one: the accounting loss and 42.6x earnings multiple mean the core business has to keep performing for the AI upside to matter.

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Educational content, not financial advice. For informational purposes only. Do your own research.

SignalDeck Mid-Morning Update, July 28, 2026

Inder Sabharwal — Tue, 28 Jul 2026 15:32:42 GMT

Situational Awareness

📅 The setup for the two biggest days of earnings season: FOMC decision Wednesday 2 PM ET, landing the same day as Microsoft and Meta. The Fed meets today and tomorrow, with the rate decision Wednesday 7/29 at 2 PM ET (CME FedWatch: ~64% odds of a hold). Microsoft and Meta both report Wednesday 7/29, hours after that decision. Apple and Amazon follow Thursday 7/30. Four of the Magnificent Seven report this week.
🛢️ Oil continues sliding as the Iran attack pause holds. WTI $83.07, giving back a chunk of its recent climb toward $93.45 as the pause between the US and Iran continues and spurs cautious optimism that talks could resume.
🤖 Meta’s own custom-silicon story is relevant context into Wednesday’s print. Meta’s next AI-inference chip (“Jalapeño,” built with Broadcom) is set to deploy by year-end, with a second chip (“Iris,” also Broadcom-designed, TSMC-built) entering production in September. Custom chips are tracking to ~28% of AI server shipments in 2026, growing roughly 3x faster than off-the-shelf GPUs, worth watching for how Meta frames its own capex efficiency Wednesday.
✅ All four names on today’s board are now confirmed by real regular-session volume, not premarket indications. Two extended their gains (one dramatically), one held steady, and $GLW’s decline actually deepened. See Top Calls.

Bellwether Watch: -

🔴 : CRACKING. Now -18.3% (deepened from -16.3% premarket), on real volume. Beat EPS (+30% YoY) and its own AI-relevant segment (Optical Communications, +32% YoY, beat consensus), but missed total revenue and guided Q3 ~1.7% below estimates. A genuine caution flag for the AI-optics corner of the AI-infrastructure leadership theme specifically. This is the same theme carrying the active GOOGL-capex and NVIDIA-financing catalysts already tracked this week, not an isolated Corning-only story.

🟢 : HOLDING, modestly. +0.35% today on top of Monday’s after-hours pop (which already priced in the 84% YoY segment beat and raised guidance). Confirms the AI-networking leadership theme is intact, but the follow-through itself is muted, not a continuation rally. Worth distinguishing from $GLW: $CLS’s underlying business didn’t crack, the market’s enthusiasm for it just hasn’t been large.

Top Calls

+24.1% · STRONG⭐⭐ (87) · High: confirmed and more than doubled from its premarket indication (+10.2% → +24.1%), a new 52-week high on real volume. Revenue beat by 7.6%; EPS met consensus rather than beating it, a real gap versus the mechanical score’s enthusiasm worth knowing about.
+12.0% · STRONG-borderline (70) · High: confirmed and extended (from +11.0% premarket), holding on real volume. Clean beat-and-raise on every line, above the high end of its own guidance.
+9.0% · CAND (48) · Med-High: confirmed and held (from +8.2% premarket) on real volume. Decade-best volume growth, guidance raised, margin up.
-18.3% · fresh earnings, mixed, deepening · High (as a fact, not a trade): confirmed and worse than the premarket read. Real EPS beat, real guidance miss, real AI-optics segment strength underneath, all at once.

The Setups

$KNSA

Kiniksa’s move more than doubled from its premarket indication once the regular session opened: +10.2% premarket to +24.1% by 11 AM ET, a new 52-week high on real volume. The underlying print is more mixed than the price action suggests: revenue beat by 7.6% ($243.6M vs. $226.5M consensus), but EPS ($0.30) met consensus rather than beating it, a real gap from last quarter’s clean beat-and-raise (Q1 2026 EPS beat by 28.6%, guidance raised to $930-945M at the time). The mechanical score (STRONG⭐⭐, 87, confirmed by two model passes) is being driven heavily by the size and volume of the move itself, not by an equally dramatic underlying beat; both readings are worth holding at once.

$IQV

IQVIA’s beat held up at the open and extended slightly, from +11.0% premarket to +12.0% by 11 AM ET, on real volume. The print itself was clean and unambiguous: revenue $4.37B (+8.7% YoY), non-GAAP EPS $3.15 (3.9% above consensus), adjusted EBITDA $994M (3.1% above consensus), all above the high end of the company’s own guidance range per its CEO. Full-year guidance ticked up slightly (revenue midpoint $17.38B, 0.5% above estimates). This is the most straightforward beat-and-raise of the morning.

$UL

Unilever’s premarket indication held almost exactly at the open, +8.2% to +9.0% by 11 AM ET, on real volume. Underlying sales grew 5.8% and volume 5.5% in Q2, the best quarterly volume performance in more than a decade, with full-year sales guidance raised to 4-6% and underlying operating margin up 10 basis points to 20.3%. A low-quality aggregator had circulated a claim of a large EPS miss overnight that contradicted the stock’s own reaction and every other source’s framing; that figure was never real and the confirmed move bears that out.

$GLW

Corning’s decline deepened once the regular session opened: from -16.3% premarket to -18.3% by 11 AM ET, on real volume, not a premarket-thinness artifact. The print itself is genuinely two-sided. Core (non-GAAP) EPS came in at $0.78, up 30% year-over-year and roughly 3.5% above the ~$0.75 consensus. But Q3 guidance (core EPS $0.85-0.89, core sales $4.9-5.0B) landed about 1.7% below analyst revenue estimates, and total Q2 revenue itself is reported by some sources as a ~3% miss against a $4.65B consensus (other reporting cites a $4.74B “core sales” figure instead, +17% YoY; the sources disagree on GAAP-vs-core basis, flagging that rather than picking one with false precision). The part of the business most relevant to the AI buildout did beat: Optical Communications revenue grew 32% to $2.07B, ahead of its own $1.96B segment consensus, with Enterprise Networks up 65% and Corning’s Gen AI product line growing faster still. Corning also disclosed a new multiyear, multibillion-dollar agreement to supply the optical fiber, cable, and connectivity for Amazon’s data center buildout, a real, fresh customer win. Management named two specific headwinds elsewhere in the business: reduced capital spending from wireless carriers pressuring part of Optical Communications, and rising logistics/raw-material costs squeezing Display Technologies margins. The standard EP-γ scoring engine mis-tags this move as SKIP (a sign-handling bug compares the raw signed gap against the size gate rather than its magnitude, so a large decline reads as “too small”); the size and significance of this move are real even though the mechanical tag isn’t.

Bottom line

$KNSA is the confirmed standout of the morning by price action (+24.1%, new 52-week high), but $GLW is the story that actually matters: a deepening, volume-confirmed 18%+ decline in a mega-cap AI-optics name, on a real guidance miss layered under a real segment beat. A genuine crack in one corner of the AI-infrastructure leadership theme, not the whole theme.

📊 Read this on SignalDeck.live.

Not financial advice. For informational purposes only. Do your own research.

SignalDeck Premarket Briefing, July 28, 2026

Inder Sabharwal — Tue, 28 Jul 2026 13:22:09 GMT

Situational Awareness

📅 The setup for the two biggest days of earnings season: FOMC decision Wednesday 2 PM ET, landing the same day as Microsoft and Meta. The Fed meets today and tomorrow, with the rate decision Wednesday 7/29 at 2 PM ET (CME FedWatch: ~64% odds of a hold). Microsoft and Meta both report Wednesday 7/29, hours after that decision. Apple and Amazon follow Thursday 7/30. Four of the Magnificent Seven report this week.
🛢️ Oil continues sliding as the Iran attack pause holds. WTI $83.07, giving back a chunk of its recent climb toward $93.45 as the pause between the US and Iran continues and spurs cautious optimism that talks could resume.
🤖 Meta’s own custom-silicon story is relevant context into Wednesday’s print. Meta’s next AI-inference chip (“Jalapeño,” built with Broadcom) is set to deploy by year-end, with a second chip (“Iris,” also Broadcom-designed, TSMC-built) entering production in September. Custom chips are tracking to ~28% of AI server shipments in 2026, growing roughly 3x faster than off-the-shelf GPUs, worth watching for how Meta frames its own capex efficiency Wednesday.
🧪 Three real earnings beats on the board this morning, all mechanically vol-gated pending the open (see Top Calls). Premarket volume is thin at this hour; treat these as real fundamental prints awaiting 9:30 ET confirmation, not settled moves.
📉 Corning ($GLW) -16.3% premarket, the biggest and most significant move of the morning by far (see Top Calls), a mega-cap name well outside the mechanical screener’s gap-up-only filter, added on direct request. Real EPS beat, real guidance miss, real AI-optics segment strength underneath.
is at a crucial support level which needs to hold.

Top Calls

down premarket · fresh earnings, mixed · High (as a fact, not a trade): core EPS beat by ~3.5% ($0.78 vs ~$0.75 est., +30% YoY), but Q3 revenue guidance came in ~1.7% below estimates and total Q2 revenue itself is reported as a miss by some sources. Optical Communications, the AI/data-center fiber business, beat its own segment consensus (+32% YoY) and Corning disclosed a new multiyear, multibillion-dollar deal to supply Amazon’s data centers. Stock cratered anyway on the guide and non-AI segment headwinds.
⏸ +8.2% premarket · fresh earnings beat, vol-gated · Watch: best quarterly volume growth in more than a decade (+5.5%), sales growth +5.8%, FY guidance raised to 4-6%, operating margin up 10bps to 20.3%. Genuinely strong print; premarket volume too thin (0.87x) to confirm mechanically yet.
⏸ $IQV +11.0% premarket · fresh earnings beat, vol-gated · Watch: revenue $4.37B (+8.7% YoY) and EPS both beat, above the high end of the company’s own expectations; FY guidance raised slightly. Same vol-gate situation (0.51x) as UL.
⏸ $KNSA +10.2% premarket · fresh earnings beat, vol-gated · Watch: revenue beat by 7.6% ($243.6M vs $226.5M est.), EPS met consensus exactly (not a beat). Thinnest premarket volume of the three (0.28x).

The Setups

GLW

Corning beat on the headline it usually gets credit for and missed on the one the market cared about more. Core (non-GAAP) EPS came in at $0.78, up 30% year-over-year and roughly 3.5% above the ~$0.75 consensus. But Q3 guidance (core EPS $0.85-0.89, core sales $4.9-5.0B) landed about 1.7% below analyst revenue estimates, and total Q2 revenue itself is reported by some sources as a ~3% miss against a $4.65B consensus (other reporting cites a $4.74B “core sales” figure instead, +17% YoY; the sources disagree on GAAP-vs-core basis and we’re flagging that rather than picking one with false precision). The part of the business most relevant to the AI buildout did beat: Optical Communications revenue grew 32% to $2.07B, ahead of its own $1.96B segment consensus, with Enterprise Networks up 65% and Corning’s Gen AI product line growing faster still. Corning also disclosed a new multiyear, multibillion-dollar agreement to supply the optical fiber, cable, and connectivity for Amazon’s data center buildout, a real, fresh customer win. Management named two specific headwinds elsewhere in the business: reduced capital spending from wireless carriers pressuring part of Optical Communications, and rising logistics/raw-material costs squeezing Display Technologies margins. Shares fell as much as 16.3% premarket regardless, a real, large move that the standard EP-γ scoring engine actually mis-tagged as too small to matter (a sign-handling issue compared the raw signed gap against the size gate rather than its magnitude); the size and significance of this move are real even though the mechanical tag isn’t.

UL

Unilever posted its best quarterly volume growth in more than a decade: underlying sales +5.8% and volume +5.5% in Q2, up from +4.8%/+4.2% in H1. Management raised full-year sales growth guidance to 4-6%, with underlying operating margin up 10 basis points to 20.3% and free cash flow up EUR0.5B year-over-year to EUR1.5B. India grew 10% in the quarter. Shares are indicated up 8.2% premarket on the combination of demand, margin, and guidance all moving the same direction. One data-quality note: a low-quality aggregator circulated a claim of a large EPS miss that contradicts both the stock’s own reaction and every other source’s framing of this print; treating that figure as unreliable rather than repeating it. Premarket volume (0.87x average) is too thin to confirm the move mechanically; this is a real print pending 9:30 ET.

IQV

IQVIA beat on every line: revenue $4.37B (+8.7% YoY), non-GAAP EPS $3.15 (3.9% above consensus), adjusted EBITDA $994M (3.1% above consensus), all above the high end of the company’s own guidance range per its CEO. Full-year guidance ticked up (revenue midpoint $17.38B, 0.5% above estimates). A clean, unambiguous beat-and-modest-raise. Premarket volume (0.51x) hasn’t caught up to the size of the move yet; watch for confirmation at the open.

KNSA

Kiniksa’s revenue beat by 7.6% ($243.6M vs. $226.5M consensus), but EPS ($0.30) met consensus exactly rather than beating it, a more mixed print than last quarter’s clean beat-and-raise (Q1 2026 EPS beat by 28.6%, guidance raised to $930-945M at the time). Real revenue strength, but not the same unambiguous setup as UL or IQV. Premarket volume (0.28x) is the thinnest of the three names tonight; treat the gap as unconfirmed.

Bottom line

Corning is the story that actually matters this morning: a genuine AI-optics segment beat and a fresh Amazon data-center supply deal, undercut by weak guidance and non-AI segment headwinds, for a 16%+ premarket drop in a mega-cap name. The other three (UL, IQV, KNSA) are real beats, still unconfirmed by real volume.

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Not financial advice. For informational purposes only. Do your own research.