Dolly v. GitLab Inc.

District Court, N.D. California·Decided August 14, 2025·No. 5:24-cv-06244·Unknown

Opinion

ARLIE DOLLY, et al., Case No. 24-cv-06244-EKL

Plaintiffs, ORDER GRANTING MOTION TO v. DISMISS

GITLAB INC., et al., Re: Dkt. Nos. 50, 52 Defendants.

In this putative securities class action, Lead Plaintiff Dutch Smith alleges that GitLab Inc. (“GitLab”) and its executives Sytse Sijbrandij, Brian Robins, and David DeSanto (“Individual Defendants”) knowingly made false and misleading statements to investors about the company’s products and their artificial intelligence (“AI”) capabilities, customer feedback, competitiveness in the market, and financial projections. Second Am. Compl., ECF No. 47 (“SAC”). Plaintiff also alleges that subsequent financial disclosures revealed Defendants’ fraudulent conduct and caused GitLab’s inflated stock prices to drop, harming investors. Id. GitLab and Individual Defendants (together, “Defendants”) move to dismiss the case for failure to state a claim. Mot. to Dismiss SAC, ECF No. 50 (“Motion”). The Court reviewed the parties’ briefs and relevant authority, provided the parties with a tentative ruling, and heard argument on August 7, 2025. For the following reasons, the motion is GRANTED with leave to amend. I. BACKGROUND1 Plaintiff claims that Defendants overhyped the potential of AI in the software development cycle at a time when the market had concerns about using AI with highly sensitive data. GitLab also felt that it needed to compete with rival AI products, like GitHub’s, to avoid falling behind. Defendants’ optimistic assumptions regarding customer demand for AI features led Defendants to make the ultimately incorrect decision to increase prices. Plaintiff argues that Defendants knew about the company’s suboptimal AI capabilities and financial forecasts, yet failed to disclose important information, thereby misleading investors. A. Company Background GitLab provides a one platform solution that integrates security into the automation of the software development cycle. SAC ¶¶ 44, 84. Instead of splitting software development projects among different teams, GitLab’s goal is for software development and operations teams to collaborate using AI-powered processes to make workflow more efficient. See id. ¶¶ 43-46. The underlying mechanism of this solution is DevSecOps, an enhanced version of the DevOps methodology that adds security (Sec) to software development (Dev) and informational technology operations (Ops). Id. ¶¶ 43-44. While competitors like GitHub focus on incorporating AI for software developers to write and complete code, GitLab aims to also automate processes for testing security issues and protecting highly sensitive data to enhance efficiency. See id. ¶ 77. GitLab 16 was the newest iteration of GitLab’s AI-powered DevSecOps platform during the Class Period – June 5, 2023 to June 3, 2024. Id. ¶ 84. GitLab’s pricing structure has three tiers: Free, Premium, and Ultimate. Id. ¶ 48. Most of GitLab’s revenue historically comes from Premium tier subscriptions. Id. ¶ 58. On March 2, 2023, GitLab announced a price increase on its Premium tier subscription from $19 to $29 per user per month, effective April 3, 2023. Id. ¶ 87. GitLab expected the price increase to nominally increase revenue for the fiscal year ending January 31, 2024 (“FY 2024”) and to significantly increase revenue for the fiscal year ending January 31, 2025 (“FY 2025”). Id. ¶ 96. B. Allegedly False and Misleading Statements Following the price increase announcement, Defendants allegedly made false and misleading statements to investors. During the Class Period, Defendants allegedly misrepresented (1) GitLab’s AI capabilities in order to drive market demand, (2) customers’ evaluations and competitive with Copilot, GitHub’s AI coding assistant, and (4) the projected financial implications of the Premium tier price increase. Id. ¶¶ 142, 173. The Court does not list all of the challenged statements here, but includes the following illustrative examples: 1. Statements about GitLab’s AI capabilities • “[O]ur customers now can now [sic] run AI and ML [machine learning] workloads on GPU-enabled GitLab Runners on the Oracle Cloud Infrastructure[.]” Id. ¶ 152. • “Code Suggestions uses generative AI to suggest code to developers. Suggested Reviewers leverages AI to identify the most appropriate reviewers of code. Explain[] This Vulnerability provides details about potential security vulnerabilities in code.” Id. ¶ 161. • “We already have 14 AI features available to our customers.” Id. ¶ 195; see also id. ¶ 203. 2. Statements about customers’ evaluations and concerns • “[W]e expect customers will increasingly turn to GitLab as they build machine learning models and AI into their applications.” Id. ¶ 148. • “[T]he early feedback to Duo has been very positive. . . . [C]ustomers recognize that they need a suite of AI features, and therefore, we’re excited about Duo.” Id. ¶ 168. • “Our customers have reported efficiency improvements upwards of 50% with Code Suggestions. . . . We also spoke with a multinational financial technology company, and their team is excited about using GitLab Duo[.]” Id. ¶ 203. 3. Statements about GitLab’s intent to compete with GitHub • “The real promise of AI extends far beyond code creation. And this is where GitLab has a structural advantage. . . . And to date, GitLab has more AI features geared towards developers than our competitors.” Id. ¶ 148. • “So we’re winning deals against GitHub because we have the most comprehensive platform. . . . [B]ecause we are better able to address those use cases [i.e., security scans], we’re also able to build AI features that build on that, for example, the ability to explain vulnerabilities and to have the AI suggest a fix.” Id. ¶ 208. 4. Statements about the Premium tier price increase • “The price increase, which took effect on April 3, [2023,] is going as planned. We only had 1 month of renewals impacted by the price increase in the quarter. To date, customer churn is unchanged for the Premium customers who renewed in April, and our average [annual recurring revenue] per customer increased in line with our expectations.” Id. ¶ 150. • “[W]e really only had a short period of less than a month, . . . [but] the renewal rates and the churn and the land of new customers have been better than expected.” Id. ¶ 155. • “[O]verall bookings [are] more positive than our internal forecast and churn is less. And so we’re seeing positive signs on every element of how we modeled it from a bookings and churn perspective.” Id. ¶ 166. C. Scienter and Loss Causation Plaintiff claims that Individual Defendants intentionally or recklessly failed to disclose facts regarding delayed AI features, weak market demand, and slowed or stalled “seat expansion,” i.e., the growth of individual licenses sold to existing customers. See id. ¶¶ 119, 216. When GitLab later announced its financial results for the fourth quarter of FY 2024 (“4Q24”) and the first quarter of FY 2025 (“1Q25”), each of the two disclosures allegedly revealed Defendants’ fraudulent conduct and thus caused GitLab’s inflated stock price to drop. Id. ¶ 252. 1. GitLab’s 4Q24 disclosures In a March 4, 2024 press release, GitLab announced its 4Q24 results of a positive revenue and growth rate, yet revealed a lower-than-expected guidance for 1Q25. GitLab’s 4Q24 results consisted of a quarterly revenue of $163.8 million and a growth rate of 33% year-over-year (“y/y”), and an annual revenue of $579.9 million and a growth rate of 37% y/y. Id. ¶ 5. GitLab’s guidance for 1Q25 consisted of an expected annual revenue range of $725 million to $731 million for FY 2025 and a growth rate of approximately 26% y/y. Id. In the earnings call, Defendants informed investors that GitLab had not yet finished analyzing its standalone selling price (“SSP”), which represents the cost of each product when sold individually, for FY 2025. Id. ¶ 8. An SSP products in bundles. See id. Thus, Defendants explained that they did not factor in any change in SSP for th

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Dolly v. GitLab Inc., (N.D. Cal. 2025).

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