Datadog Announces First Quarter 2026 Financial Results
π° First-quarter revenue grew 32% year-over-year to reach $1,006 million.
π€ Operating cash flow came in at $335 million with free cash flow of $289 million.
π GAAP operating margin was 1% while non-GAAP operating margin reached 22%.
π₯ Larger customer base expanded to approximately 4,550 customers with over $100k ARR.
π Datadog for Government achieved FedRAMP High certification for sensitive federal environments.
π New GPU Monitoring launched to help businesses optimize costs and performance on AI projects.
π§ͺ Datadog Experiments released to embed A/B testing directly into the observability platform.
π‘οΈ Bits AI Security Analyst generally available to reduce threat investigation time by up to 98%.
βοΈ Datadog MCP Server launched for secure, real-time access to observability data from AI coding agents.
π€ Dominic Phillips appointed to the board of directors with decades of financial leadership experience.
π The State of AI Engineering 2026 report highlights operational complexity as a top barrier to AI scale.
π Strategic partnership formed with Sakana AI for enterprise AI adoption research and innovation.
π DASH 2026 conference registration opened for a June event in New York City focusing on observability evolution.
π Second-quarter revenue guidance set between $1.07 billion and $1.08 billion.
πΌ Full-year 2026 revenue forecasted between $4.30 billion and $4.34 billion.
β οΈ Management noted that non-GAAP measures were not reconciled to GAAP due to potential variability in items like stock-based compensation.
- First quarter revenue grew 32% year-over-year to $1,006 million, significantly beating analyst expectations.
- The company saw robust growth in its largest customer base, with $100k+ ARR customers increasing from about 3,770 a year ago to about 4,550 as of March 31, 2026.
- Datadog generated strong cash flow metrics with $335 million in operating cash flow and $289 million in free cash flow for the quarter.
- Non-GAAP operating margin expanded to 22% driven by non-GAAP operating income of $223 million, while GAAP net income per diluted share was $0.60.
- The company holds a healthy balance sheet with $4.8 billion in cash, cash equivalents, and marketable securities as of March 31, 2026.
- Datadog successfully launched several new capabilities including MCP Server, GPU Monitoring, and Bits AI Security Agent to support enterprise AI adoption.
- Achieved FedRAMP High certification for Datadog for Government, enabling the platform to serve highly sensitive federal environments.
- Announced a strategic partnership with Sakana AI to collaborate on research and product innovation focused on enterprise AI adoption.
- Management raised full-year 2026 guidance, forecasting revenue between $4.30 billion and $4.34 billion and non-GAAP net income per share between $2.36 and $2.44.
- Appointed Dominic Phillips to the Board of Directors, bringing extensive financial leadership experience from ServiceNow and Morgan Stanley.
- Delivered Bits AI Security Analyst which enables security teams to reduce threat investigation time by up to 98%.
- GAAP operating margin is a low 1%, indicating that significant expenses still consume most of the company's revenue before reaching profitability under standard accounting rules.
- The Q2 2026 guidance projects revenue between $1.07 billion and $1.08 billion, which represents a slowdown from the 32% year-over-year growth rate seen in Q1, raising concerns about maintaining high growth momentum.
- Nearly 5% of AI model requests fail in production due to capacity limits, and approximately 60% of those failures are caused by resource constraints, highlighting ongoing operational scalability challenges for customers relying on the platform.
- 87% of organizations are running software with known, exploitable vulnerabilities, suggesting a high underlying security risk that Datadog must continue to address as a primary market concern.
- The company notes potential variability in reconciling non-GAAP measures such as stock-based compensation and payroll taxes, which could materially impact GAAP results if these costs increase or are adjusted differently.