A：Fiscal year 2026 was significant for Gitlab, with an increase in annual recurring revenue (ARR) surpassing $1 billion, generation of $220 million in free cash flow, an increase of over 80%, and nearly 7 percentage points of margin expansion year over year.

A：The five specific strategies for scaling growth in FY 27 are: 1) accelerating first orders to fuel long-term expansion, 2) scaling sales capacity with dedicated leadership and investment, 3) expanding product packaging to unlock new monetization vectors, 4) engaging price-sensitive customers with greater value and coverage, and 5) continuing to execute an AI strategy aligned with the core platform strengths.

A：The AI-led growth strategy contributes to the company's growth by focusing on accelerating first orders to fuel long-term expansion, reinvigorating product-led growth, and creating a dedicated first-order sales team. This strategy is aligned with the company's core platform strengths and is expected to drive sustained acceleration in first orders, ultimately contributing to the company's overall growth in FY 27.

A：Reversing the long period of first order deceleration in FY 26 is critically important because customers often start with a small initial investment but expand steadily over time, following a pattern that has persisted for over a decade. Sales-led first orders began reaccelerating in Q2 of FY 26, which is a positive indicator for future growth.

A：For FY 27, new monetization opportunities include multiple offerings such as artifact management, software supply chain security, integrated secret management, and more. These will be a la carte opt-in options for customers, providing intermediate value at incremental prices. The company expects modest contributions from these new offerings in FY 27, with a more meaningful impact expected in FY 28 and beyond.

A：Gitlab is addressing the needs of price-sensitive customers in several ways. They have an AI product and platform that includes compelling Gitlab Promotional credits with premium and ultimate users to increase value. The company has also adjusted coverage models and is investing in onboarding, adoption, and self-service experiences to help customers get value faster.

A：The strategic significance of the AI platform launched by Gitlab in January is that it repositions the company for the AI era and allows the deployment and management of AI agents across the software lifecycle using the same context, permissions, and security model as in place for humans. This platform is based on three core pillars: workflows, semantic access to full software development lifecycle (SDLC) data, and guardrails. It helps in embedding security and compliance directly into the software factory, improving efficiency and quality outcomes.

A：The introduction of usage-based pricing in the AI platform impacts revenue growth positively as it allows customers to pay for the work done by AI agents, which automates tasks across the software lifecycle. This leads to revenue growth with the value delivered, as more automation across the lifecycle increases the revenue based on the value generated.

A：Nearly 70% of the revenue comes from self-emancipation customers who require an upgrade to release 18.8 or better, and typically, it takes two quarters for over 50% to adopt the new release.

A：The software development market is undergoing a fundamental shift with AI accelerating code volume, increasing delivery complexity, and raising the stakes of getting it wrong. Security, compliance, and governance are becoming more critical as they are now considered existential.

A：In Q4, the company added the most $1 million customers in Gitlab's history, with gross retention consistent with historical trends and churn at the lowest in four years. Ultimate is now 56% of Arr and accounted for 9 of the top 10 deals. There was more than 60% year-over-year growth in ultimate projects with security scanning and nearly 30% more security projects per seat. A large investor, Indeed, started with Gitlab for source control, expanded to premium, and upgraded to Ultimate for advanced security, compliance, and governance capabilities. Mercedes Benz is using Gitlab to transform their vehicles with more software code, and they are now using it as a central platform for their software-defined vehicle transformation.

A：The company operates from a strong financial position with approximately $1.3 billion in cash and investments and is sustainably generating free cash flow. The board has authorized the company's first share repurchase program at $400 million, reflecting confidence in its fundamentals and growth plan ahead.

A：The newly appointed CFO sees an incredible business at the center of unprecedented industry transformation and is excited to help shape how AI transforms software development through intelligent orchestration. His focus is on building financial discipline and operational rigor to support the company's next chapter of growth.

A：Fiscal 2026 saw revenue grow 26% to $955 million, with a non GAAP operating margin reaching 17% and a year-over-year increase of approximately 680 basis points. Adjusted free cash flow grew 83% to $220 million.

A：The fourth quarter results highlighted a revenue growth of 23% year over year to $260 million, a non GAAP operating margin of 20.5%, which was 5 points above guidance, and healthy first order of bookings with strength in Asia Pacific. Enterprise win rates improved and sales cycles remained consistent, but there was a softer performance in the US due to budget constraints and industry challenges, resulting in a lower-than-anticipated revenue beat.

A：The key assumptions include a ratable model dynamics where revenue reflects cumulative bookings activity, the lack of scaling of bookings growth with revenue over the past three years, non-recurring tailwinds from FY 26 not being embedded in FY 27 guidance, segment caution due to performance pressures in certain customer segments, and prudent assumptions on newer growth drivers.

A：For Q1 FY 27, the expected total revenue is between $253 million to $255 million, representing approximately 18% to 19% year-over-year growth. The expected non-GAAP operating income is between $32 million to $34 million, and the non-GAAP net income per share is between 20 to 21 cents, assuming 173 million weighted average diluted shares outstanding.

A：GitLab's security portfolio is differentiated from Cloud Code Security and other foundational model vendors' products by the role of independent governance in the software development process. While Cloud Code Security helps developers write better code at authoring time, GitLab comes into play as an independent system that ensures the project and source code are ready for production, governing whether the software can be shipped. This differentiation is crucial for companies to uphold their security standards and is expected to drive future upsells.

A：The investment in Go to Market strategies is aimed at increasing capacity to cover existing customers better and to win new logos at an accelerated rate. The company is entering the fiscal year with the highest capacity ever and anticipates a step function increase in ramp capacity starting around Q3, which is when the investment in these strategies is expected to have the biggest immediate impact on FY 27.

A：Contributing factors to the company's current and future growth include the healthy state of the core business with improved gross retention and the expansion of customer cohorts, stable win rates, growing engagement, and the recent strategies to address the bookings patterns and lapping mechanics. New initiatives include a dual agent platform with hybrid pricing and adjustments in coverage models to increase value and customer stickiness.

A：The overall NRR number is driven by the mix of DBR across segments, with enterprises showing a healthy signal. Concerns are expressed about seats out there and potential expansion at customers.

A：The company does not guide to or focus on dollar-based net retention (DBN R) as an output of the business. However, they observe a healthy mix of DBR across segments, with enterprises showing a strong and consistent signal, while pressure is concentrated in price-sensitive cohorts.

A：The company has adjusted coverage models for premium customers to give them better integration with Gitlab, including technical services to accelerate value adoption and realization. They are also investing in better times of value experiences.

A：DAP agents are priced more on a consumption-based model, offering customers the ability to start with credits, which is a more efficient model than competitors who may have a seat-based entry cost and charge for overages. This model allows customers to use the platform without new contracts or agreements, and if they find value, they can opt-in to on-demand credits. This creates a demand model for sales where they can offer additional discounts for committed credits, which drives ratable revenue and ARR.

A：The current view on the margin structure at Gitlab is that the fiscal 27 market guide reflects clear investments with a defined timeline and expected return as the business scales. It's mentioned that the business has demonstrated the ability to grow profitably and responsibly, evidenced by 100 BPS of margin expansion over the past two years. While not focused on managing margin percentage, the goal is to achieve durable returns from scaling the platform and managing gross profit dollar growth.

A：The potential barriers that customers face in adopting DAP include a lack of trust in AI to and workflows and the need for governance approvals. Factors contributing to successfully scaling these into production environments include positive early customer feedback on the full life cycle approach to agentic AI.

A：Customers are using the Da agent platform to automate highly repetitive and mundane tasks such as security management, vulnerability remediation, dependency updates, and cloud migration. An airline has automated approximately 90% of component version updates, and an insurance company has seen improvements across compliance violations, legacy modernization, developer onboarding time, and security posture.

A：Customers typically take about six months to transition to a version like the 18.8 release that supports the Duo Agent platform.

A：The projected revenue for the dual agent platform in the fiscal year 27 is conservative because committed credits are recognized as subscription revenue and the revenue from converting trials to production and committed credits will not be recognized until the back half of the year.

A：Yes, sales cycles have shifted with customers navigating a lot of change. They are excited about the potential of AI but are also focused on privacy and security concerns and the increased costs of investing in AI. There is a lot of experimentation going on, and early results are promising, especially around code generation and software development.

A：The number of accounts per rep has changed, and it has been reduced through territory design overhaul to improve customer intimacy and accelerate adoption. Handoffs are ensured to be smooth by investing in technical services and dedicated support for AI, as well as forward-deployed engineers to support the customer adoption cycle.

A：Rewriting existing code versus creating new code is a balance. While any software can be rewritten, it's harder to do so when the code is deeply integrated with other systems and has a lot of context-specific features. The speaker compares this to the era of public cloud adoption, where enterprises faced a similar dilemma of whether to lift and shift their applications or build new ones in the cloud. The current approach to software modernization is seen as a combination of both practices.

A：The three modes of software interaction mentioned in the speech are: 1) A set of mission-critical software for businesses, especially in the financially regulated and public sectors, where human agents are not allowed to touch the code due to security, privacy, or sensitivity reasons; 2) The current mode involving a dual agent platform that supports human and agent collaboration on brownfield codebases; 3) A fully automated approach through intelligent orchestration for new greenfield projects.

A：The pricing model for the intelligent orchestration platform addresses customer concerns by providing usage-based pricing, which could replace seat-based pricing for Duo Pro and Duo Enterprise. There is a transition period where customers who have already planned to buy these products will not be disrupted and can continue with their purchase plans. The intention is to convert these contracts into platform credits and make the pricing and packaging more seamless.

A：The dual agent platform is already a part of the Duo capabilities and is considered a massive superset. It is designed for continuity, especially for customers who have existing plans or are in the process of buying those products. The company plans to incentivize customers and field teams to migrate these contracts to the new Dual Agent platform and credits in the coming year. Over time, it is expected that with improved orchestration and closed-loop iteration, the codebases will become increasingly automated, reducing human involvement in managing the code.

A：The guidance philosophy for the current fiscal year at Gitlab involves a focus on investment and execution. The company is moving from a hybrid model to a new product cycle, including the launch of Dora, and scaling its go-to-market motion. The process internally remains rigorous, and there is an intention to provide more insight and transparency into how the guidance numbers are arrived at, based on feedback from investors.

A：The revenue guidance build-up is influenced by the mechanics of the current fiscal year (FY 26) having non-recurring tailwinds, premium pricing, and favorable FX dynamics that won't repeat in FY 27. The ratable model means that current revenue reflects bookings made three years ago, and growth in bookings has not kept pace with revenue growth over the past three years. Therefore, the revenue growth rate is expected to step down in FY 27, reflecting an honest view of the current position of the business.

A：The revenue guide for the upcoming fiscal year does not include the full benefit of the first order team coming online, which is expected to ramp up in the back half of the year. The guide is deliberately cautious regarding bookings and revenue contributions from the dual agent platform, especially since it has only been launched 7 weeks prior to the call. The impact of the pandemic and budgetary constraints on certain departments have also been taken into account, as they affect the company's guidance.

A：The core Gitlab platform is considered core infrastructure in the DevOps ecosystem, relied upon by businesses to ensure the integrity of their software. It is used by both humans and agents in the software development lifecycle, from planning to deployment. The platform provides the necessary tools for version control and storing code, and it supports both human intelligence and artificial intelligence for managing software complexity. The dual agent platform, offered by Gitlab, automates tasks and facilitates seamless handoffs between humans and agents.

A：In the latest quarter, the company's performance and bookings were impacted by a few key factors. First, the public sector saw a 12% decline in net AR, but the long-standing thesis remains that the company is the preferred partner for the U.S. government. Second, there was a 20% drop in net AR related to price-sensitive cohorts, which includes some SMB weakness and mid-market premium customers with less budget flexibility. Third, there was deal slippage due to specific customer budget constraints and industry-specific challenges.