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.
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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.