GitLab Announced Improved Q2 Financial Data

On Tuesday, Gitlab, a software development tools maker, reported higher-than-anticipated second-quarter financial results.

The company’s stock price increased by 1.16% to $49.74 per share on September 05. Likewise, it is expected to rise by 5.43% to $52.44 apiece in the upcoming session.

Its earnings per share jumped to $0.01, beating analysts’ -$0.03 consensus. Also, it is higher than the previous -$0.06 data.

Moreover, the revenue of GitLab went up to $139.60 million, topping the $129.82 million forecast. As a result, it surpassed the prior $126.90 million figures.

Furthermore, profit guidance for Q3 2024 hit 4140.50 million at the midpoint, above experts expected $138.20 million. 

Additionally, it raised its revenue outlook for the entire year from $542.00 million to $556.00 million at the midpoint. It equates to a 2.58% increase.

The free cash flow of GitLab reached $26.80 million, up from -$11.20 million in the past quarter. Its gross margin is 89.50%, better than the 87.10% from the same quarter the previous year.

On the other hand, the firm’s net revenue retention rate fell to 124.00%, lower than the 128.00% in the prior quarter.

According to Sid Sijbrandij, GitLab CEO and co-founder, its solid quarter was driven by its focus on the innovative DevSecOps platform. Also, they executed a robust go-to-market movement.

AI Coding is Necessary, Says GitLab

Based on a survey from GitLab, several organizations are utilizing artificial intelligence (AI) to augment human software. Also, more than two-thirds of the companies plan to use those systems.

The majority of the survey’s respondents agreed that AI is essential to their software development processes. They claim it helps avoid being left behind and is consistent, setting aside respondents’ functional areas.

According to the report of GitLab, AI adoption is going well. As a result, 90.00% of those using machine-learning tools are more confident utilizing them at work.

In addition, others described their organizations’ actions in combining AI to their software development as a success.

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