Cloud monitoring platform Datadog (NASDAQ: DDOG) reported Q1 CY2026 results exceeding the market’s revenue expectations, with sales up 32.2% year on year to $1.01 billion. On top of that, next quarter’s revenue guidance ($1.08 billion at the midpoint) was surprisingly good and 8.3% above what analysts were expecting. Its non-GAAP profit of $0.60 per share was 18.3% above analysts’ consensus estimates.
Is now the time to buy DDOG? Find out in our full research report (it’s free for active Edge members).
Datadog (DDOG) Q1 CY2026 Highlights:
- Revenue: $1.01 billion vs analyst estimates of $959.6 million (32.2% year-on-year growth, 4.9% beat)
- Adjusted EPS: $0.60 vs analyst estimates of $0.51 (18.3% beat)
- Adjusted Operating Income: $223.5 million vs analyst estimates of $204 million (22.2% margin, 9.6% beat)
- The company lifted its revenue guidance for the full year to $4.32 billion at the midpoint from $4.08 billion, a 5.9% increase
- Management raised its full-year Adjusted EPS guidance to $2.40 at the midpoint, a 13.2% increase
- Operating Margin: 0.7%, up from -1.6% in the same quarter last year
- Customers: 4,550 customers paying more than $100,000 annually
- Annual Recurring Revenue: $4.23 billion (32.2% year-on-year growth, beat)
- Billings: $1.03 billion at quarter end, up 37.2% year on year
- Market Capitalization: $67.18 billion
StockStory’s Take
Datadog’s first quarter results were shaped by broad-based customer demand across both AI-native and traditional enterprise clients. Management attributed the 32% year-over-year revenue acceleration to increased multi-product adoption and the rapid onboarding of large enterprise customers, particularly in AI research and hyperscale technology sectors. CEO Olivier Pomel highlighted that Datadog’s platform is becoming increasingly mission-critical, emphasizing low customer churn and deeper engagement with existing clients through expanded product usage. The company also noted significant wins in consolidating legacy and open-source observability tools, enabling customers to unify their monitoring and security workloads with Datadog’s solutions.
Looking forward, Datadog’s raised outlook is grounded in expectations for continued AI-driven adoption, ongoing expansion of its observability and security suite, and growth from both new and existing customer segments. Management pointed to accelerating demand for new products such as GPU monitoring, AI security agents, and cloud infrastructure tools as key contributors to guidance. CFO David Obstler emphasized, “The ARR growth was broad-based, not concentrated, and we expect these trends to carry into the next quarter.” While Datadog is investing heavily in R&D and go-to-market capabilities, leadership acknowledged that further growth depends on maintaining platform relevance amid evolving market demands, including increasing requirements for data residency and security.
Key Insights from Management’s Remarks
Management credited Datadog’s Q1 performance to increased demand from both AI and non-AI customers, rapid product adoption, and consolidation trends among large enterprises.
- AI customer expansion: Datadog landed significant new contracts with leading AI research divisions, reflecting strong demand for products tailored to complex, large-scale AI workloads. These hyperscale customers are leveraging Datadog’s GPU monitoring and observability solutions to optimize and accelerate AI model training.
- Non-AI customer momentum: Revenue growth among non-AI customers accelerated, driven by continued cloud migration and increased adoption of Datadog’s expanding product suite. Management cited multiple large enterprises consolidating legacy and open-source monitoring tools onto the Datadog platform to reduce complexity and costs.
- Multi-product adoption: The proportion of customers using four or more Datadog products rose to 56%, as organizations increasingly seek integrated observability and security solutions. CEO Olivier Pomel noted that customers adopting multiple products achieve greater operational efficiency and visibility.
- Major product launches: New offerings this quarter included MCP Server for live debugging, AI-powered security agents for automated threat investigation, and GPU monitoring for advanced infrastructure visibility. These products address emerging needs in both traditional IT and AI-driven environments.
- Public sector and compliance progress: Datadog achieved FedRAMP High certification and announced plans for a new UK data center, positioning the company for growth in regulated industries and public sector markets. Management emphasized investments in compliance and data residency to meet evolving customer requirements.
Drivers of Future Performance
Management’s outlook centers on sustained AI adoption, new product traction, and platform expansion as key revenue and margin drivers.
- AI and cloud migration tailwinds: The company expects secular trends in AI adoption and ongoing cloud migration to fuel demand for its observability and security products. Management noted that both AI-native and traditional enterprises are increasing usage, with AI-related workloads driving particularly strong growth.
- Product innovation and platform breadth: Datadog is investing heavily in R&D to expand its product portfolio, including tools for AI observability, agent-based automation, and compliance. Management believes the breadth and integration of the platform will be critical for winning larger deals and retaining customers as requirements evolve.
- Emerging risks and operational focus: Leadership highlighted potential risks from customer optimization cycles, macroeconomic uncertainty, and evolving data residency regulations. Datadog’s approach is to balance innovation with operational discipline, ensuring margin stability even as investments in sales, R&D, and compliance increase.
Catalysts in Upcoming Quarters
In upcoming quarters, our analysts will monitor (1) the pace of adoption for Datadog’s new AI and GPU monitoring products, (2) the company’s ability to maintain strong ARR growth and low churn across both AI-native and traditional customer bases, and (3) execution on public sector expansion, especially following new certifications and data center launches. Continued product launches and customer wins will also serve as key indicators of business momentum.
Datadog currently trades at $186.10, up from $143.71 just before the earnings. At this price, is it a buy or sell? See for yourself in our full research report (it’s free).
Stocks That Trumped Tariffs
WHILE YOU’RE HERE: Top 9 Market-Beating Stocks. The best stocks don't just beat the market once. They do it again. And again. Robust revenue growth, rising free cash flow, returns on capital that leave their competition in the dust. The market has already rewarded these businesses.
But our AI platform says the party isn't over. Find out which 9 stocks made the cut this week - FREE. Get Our Top 9 Market-Beating Stocks for Free HERE.
Stocks that have made our list include now familiar names such as Nvidia (+1,326% between June 2020 and June 2025) as well as under-the-radar businesses like the once-micro-cap company Tecnoglass (+1,754% five-year return). Find your next big winner with StockStory today.
