Core Insights - GitLab reported Q2 earnings of 24 cents per share, exceeding the analyst estimate of 16 cents, with revenue of $235.96 million, surpassing the consensus estimate of $227.25 million and up from $182.58 million year-over-year [1][4] Financial Performance - Quarterly revenue increased by 29.3% year-over-year from $182.58 million to $235.96 million [1] - The number of customers with more than $5,000 of ARR reached 10,338, an increase of 11% year-over-year [5] - Customers with more than $100,000 of ARR reached 1,344, reflecting a 25% year-over-year increase [5] - Dollar-Based Net Retention Rate was reported at 121% [5] - Total Remaining Performance Obligations (RPO) grew 32% year-over-year to $988.2 million, while Current RPO (cRPO) grew 31% to $621.6 million [5] Future Outlook - GitLab anticipates Q3 adjusted EPS between 19 cents and 20 cents, aligning with the 19 cent estimate, and revenue of $238 million to $239 million, slightly below the $241.54 million analyst estimate [4] - The company raised its fiscal 2026 adjusted EPS guidance to a range of 82 cents to 83 cents, compared to the previous estimate of 75 cents [4] Strategic Commentary - GitLab's CEO emphasized the strength of its AI-native DevSecOps platform and the focus on customer-driven innovation [2] - The GitLab Duo Agent Platform is highlighted as a vision for human-AI collaboration throughout the software development lifecycle, offering flexibility and integration with various AI generation tools [3]

Financial Performance - GitLab's Q2 FY26 revenue reached $236 million, demonstrating a 29% year-over-year growth rate[7, 56] - The company achieved a 17% Non-GAAP operating margin in Q2 FY26[7, 56] - GitLab's Non-GAAP adjusted free cash flow margin was 20% in Q2 FY26, translating to $46 million in adjusted free cash flow[7, 56] - The dollar-based net retention rate was 121%[7] Customer Growth and ARR - GitLab has 10,338 base customers[7] - The number of customers with over $100K in ARR reached 1,344[7] - GitLab Dedicated accounts for $50 million of total ARR[26] Strategic Objectives - GitLab aims to acquire new customers through sales-led growth, focusing on first-order lands and module adoption[10, 12] - The company is accelerating customer value realization through sales excellence and faster value demonstration[18, 19] - GitLab is shifting towards depth-first innovation, investing in core DevOps, security, and AI growth levers[32] Product and AI - GitLab Ultimate contributes 53% of the company's total ARR[22] - 56% of startups joining the GitLab Startup Program in Q2 FY26 are AI companies[14] - Customer surveys indicate that 91% believe AI-native dev tools will increase their GitLab usage[43]

Exhibit 99.1 GitLab Reports Second Quarter Fiscal Year 2026 Financial Results Company Announces CFO Transition Second Quarter Fiscal Year 2026 Highlights: San Francisco (September 3, 2025) -All-Remote-GitLab Inc. (NASDAQ: GTLB), the most comprehensive, intelligent DevSecOps platform, today reported financial results for its second quarter fiscal year of 2026, ended July 31, 2025. "This quarter's results demonstrate the strength of GitLab's AI-native DevSecOps platform as we continue to drive customer-focuse ...

Core Insights - GitLab (GTLB) is expected to report second-quarter fiscal 2026 revenues between $226 million and $227 million, reflecting a year-over-year growth of approximately 24% [1][10] - The Zacks Consensus Estimate for revenues stands at $226.57 million, indicating a 24.09% increase from the previous year [2] - Non-GAAP earnings per share are anticipated to be between 16 cents and 17 cents [1] Revenue Growth Factors - The anticipated revenue growth is attributed to ongoing investments in innovation across GitLab's core DevOps platform, security, and AI-driven solutions [4] - The adoption of GitLab Duo, particularly Duo Enterprise, is expected to drive growth as customers integrate AI capabilities into their workflows [5] - GitLab's strong dollar-based net retention rate of 122% in the first quarter of fiscal 2026 suggests continued growth potential from existing customers [6] Clientele Expansion - GitLab's expanding customer base, including significant growth in customers with over $5K and $100K of Annual Recurring Revenue (ARR), indicates its ability to attract and retain large enterprise clients [7] - Collaborations with major cloud platforms like AWS and Google Cloud are likely to enhance GitLab's market presence and customer engagement [14][16] Competitive Landscape - Despite strong growth prospects, GitLab shares have underperformed compared to the Zacks Computer & Technology sector and Microsoft, with a year-to-date decline of 14.8% [8][10] - GitLab's stock is currently trading at a premium, with a forward Price/Sales ratio of 7.55X compared to the industry average of 5.71X, indicating a stretched valuation [11] Strategic Partnerships - A three-year collaboration agreement with AWS aims to expand access to GitLab Dedicated, enhancing compliance and reducing costs for organizations in regulated industries [15] - The integration with Google Cloud services is expected to streamline developer workflows, thereby increasing customer engagement and adoption [16]

Core Insights - GitLab is being analyzed for its potential in the competitive software landscape, focusing on whether it can thrive amid fierce competition or if it poses a risky investment opportunity [1] Group 1: Company Overview - GitLab (GTLB) is highlighted as a subject of interest, with expert analysts providing insights into its market trends and investment potential [1] Group 2: Market Context - The analysis is set against a backdrop of intense competition within the software industry, raising questions about GitLab's ability to sustain growth [1]

Core Insights - The article emphasizes the strong growth potential of leading companies in the artificial intelligence (AI) sector, highlighting five key stocks that are recommended for investment this month. Company Summaries 1. Nvidia - Nvidia dominates the AI infrastructure market, holding 92% of the GPU market share in Q1 [3] - The company has accelerated its product cycle with annual chip launches and is expanding into the automotive market due to the rise of self-driving technology [4] 2. Palantir Technologies - Palantir's AI Platform (AIP) integrates data from various sources, enabling actionable AI model outputs [5] - The company reported a 93% surge in U.S. commercial revenue in Q2, with total deal value more than doubling and a 43% increase in customer base [6][7] 3. Alphabet - Alphabet's AI initiatives have strengthened its core businesses, with a 12% year-over-year increase in search revenue and a 32% revenue jump in Google Cloud due to AI demand [9] - The company is also benefiting from its custom Tensor Processing Units (TPUs) and has seen a 13% growth in YouTube ad revenue [11] 4. Broadcom - Broadcom focuses on AI networking and custom chip design, with a 70% increase in AI networking revenue in Q1 [12] - The company estimates a $60 billion to $90 billion opportunity from its top three customers by fiscal 2027, aided by its recent acquisition of VMware [13][14] 5. GitLab - GitLab is transitioning into an AI-powered software development platform, with a 27% year-over-year sales increase in Q1 [15][16] - The company is positioned for growth with a potential shift to consumption-based pricing, despite its stock being valued attractively at a forward price-to-sales ratio of 7 times 2025 estimates [17]

Core Insights - GitLab Inc. (NASDAQ: GTLB) is a mid-cap technology firm leading in the DevSecOps platform approach for software development and delivery, but it has not performed well for its shareholders this year [1] Company Overview - GitLab is recognized for its innovative contributions to the DevSecOps sector, which integrates security into the software development lifecycle [1] Shareholder Performance - The company has faced challenges in delivering value to its shareholders in the current year, indicating potential issues in financial performance or market conditions [1]

Core Insights - Companies delivering explosive revenue growth are positioned for significant upside potential, particularly in the tech sector [1] Palantir - Palantir Technologies reported a 39% increase in revenue to $883.9 million in Q1, marking its seventh consecutive quarter of accelerating revenue growth [2] - The U.S. commercial business revenue surged 71% year over year to $255 million, while revenue from the U.S. government increased by 45% [2] - The adoption of its AI Platform (AIP) is driving growth, with many customers still in early usage stages, indicating substantial growth opportunities [3][4] SoundHound AI - SoundHound AI experienced a remarkable 151% year-over-year revenue growth to $29.1 million, achieving six consecutive quarters of over 50% growth [5] - The company is making significant inroads in the automotive industry and the restaurant sector, leveraging its technology for customizable voice solutions [6] - The acquisition of Amelia enhances SoundHound's capabilities in agentic AI, with the potential for continued hypergrowth if its technology becomes the preferred interface across industries [7] AppLovin - AppLovin's revenue increased by 40% to $1.48 billion in Q1, with ad revenue soaring 73% due to its AI-powered Axon 2 engine [8] - The Axon 2 adtech engine optimizes ad targeting and placement, helping the company capture significant market share in mobile gaming, with expected growth of 20% to 30% [9] - AppLovin is expanding its ad engine into web-based and e-commerce advertising, presenting further growth opportunities [10] GitLab - GitLab achieved a 27% year-over-year revenue growth to $214.5 million in Q1, marking its eighth consecutive quarter of 25% to 40% growth [11] - The company is transforming into a full software-development life cycle platform, utilizing AI to automate processes and enhance value [12][13] - GitLab may shift from a seat-based model to a consumption-based model, which could drive significant revenue growth [13] Toast - Toast's revenue from subscription and fintech solutions grew by 35% year over year in Q1, with total restaurant locations using its platform increasing by 25% to 140,000 [15] - The company is evolving into a digital operating system for restaurants, offering tools for menu optimization, staffing, and marketing [16] - With expanding AI capabilities and a growing footprint, Toast is well-positioned for future growth in the restaurant tech sector [17]

Group 1 - The core strategy in the current market is to focus on recent decliners with strong fundamentals rather than chasing high-flying winners [1] - The analyst has extensive experience in covering technology companies and has worked in Silicon Valley, providing insights into industry trends [1] Group 2 - The analyst has been a contributor to Seeking Alpha since 2017 and has been quoted in various web publications [1]

- NVIDIA launched the OpenReasoning-Nemotron reasoning model series in July 2025, based on the Qwen2.5 architecture, distilled from the 671 billion-parameter DeepSeek R1 0528 model, and available in four parameter scales: 1.5B, 7B, 14B, and 32B. The model aims to support structured tasks such as mathematics, science, and code generation efficiently [12] - The core innovation of OpenReasoning-Nemotron lies in its data distillation strategy, leveraging the NeMo Skills framework to generate 5 million high-quality data trajectories covering mathematical proofs, scientific derivations, and programming solutions. The training process uses supervised fine-tuning (SFT) instead of reinforcement learning, ensuring logical consistency and precision in symbolic reasoning [12] - The model employs the GenSelect algorithm to implement a "heavy reasoning mode," which involves parallel generation of candidate solutions by multiple agents and selecting the optimal answer. For example, the GenSelect@64 on the 32B model improved HMMT math competition scores from 73.8 to 96.7 and enhanced LiveCodeBench scores from 70.2 to 75.3 in code generation tasks [13] - The OpenReasoning-Nemotron series achieved record-breaking results in benchmarks such as GPQA, MMLU-PRO, and AIME24. The 32B model scored 89.2 on AIME24, surpassing OpenAI's o3-high model, while the 7B model scored 78.2, representing a nearly 20% improvement over its predecessor. However, the 1.5B model showed performance degradation to 45.6 due to inconsistencies in handling 32K tokens [15] - The Qwen3-Coder model, developed by Alibaba Cloud's Tongyi Qianwen team, was officially open-sourced in July 2025. It features a 480 billion parameter scale with a native 256K context window and employs a sparse MoE design, activating only 35 billion parameters per inference. The model was trained on a 7.5 trillion token corpus, with 70% of the data being code, covering over 80 programming languages and 20 markup languages [19][20] - Qwen3-Coder achieved a HumanEval pass@1 accuracy of 93.7%, surpassing Claude 3.5's 92.4%. On the SWE-Bench Verified benchmark, it achieved a 31.4% task success rate, exceeding GPT-4's 30.9%. Key innovations include extending the native 256K context to 1M tokens using YaRN technology and integrating execution feedback mechanisms to validate and reward generated code [20] - The GitLab Duo platform, launched in public beta in July 2025, virtualizes traditional software development team roles into specialized AI agent clusters. These agents handle tasks such as requirement planning, code writing, security analysis, testing, and operations management, forming a dynamic collaboration network. The platform automates workflows through the "Flows" feature, enabling developers to input functional descriptions and have agents complete tasks like requirement decomposition, code generation, and testing [33][36] - GitLab Duo integrates with mainstream development environments like VS Code and JetBrains IDEs and plans to introduce a "knowledge graph" feature to enhance agents' understanding of code context. The platform also emphasizes security, employing end-to-end encryption and sandbox environments for code validation [36][37]