Highlights

  • Q3 2026 Revenue of $1.20 billion, up 35% year-over-year — the company's fastest revenue growth in recent quarters
  • Non-GAAP EPS of $0.81, beating analyst consensus of $0.64 by 26%, with non-GAAP Operating Margin expanding to 28%
  • Large-customer count (over $100K ARR) grew 20% year-over-year to approximately 4,860, representing 91% of total ARR
  • Full-year 2026 revenue guidance raised to $4.515–$4.525 billion, implying approximately 32% annual growth

Datadog (NASDAQ:DDOG), the AI-powered observability and security platform, delivered its strongest quarterly results in years, posting third-quarter 2026 revenue of $1.20 billion and non-GAAP operating margin of 28%. The results exceeded expectations across all key metrics, driven by platform adoption for AI-driven workloads, infrastructure monitoring, and security operations. The launch of Scout 1.0, Datadog's first specialised AI model, marked a significant product milestone for the quarter.

Platform Adoption and AI Workload Demand

Revenue growth of 35% year-over-year reflected strong and broad-based adoption of Datadog's platform, particularly among customers scaling their AI and digital infrastructure operations. The company reported trailing twelve-month net revenue retention in the low-120% range, consistent with prior quarters, underscoring durable expansion within the installed base. Gross revenue retention remained in the mid- to high-90% range, reflecting minimal churn.

Datadog's position as the monitoring and observability layer for AI infrastructure makes it a natural beneficiary of enterprise AI adoption. As customers build AI applications, they require Datadog's tools to monitor model performance, trace inference pipelines, and ensure security compliance — creating a compounding expansion dynamic within existing accounts.

Scout AI Model and Product Innovation

A defining product launch during Q3 2026 was Scout 1.0, Datadog's first specialised AI model, which powers Bits Investigation — an intelligent incident analysis capability that automatically correlates alerts and suggests root causes for infrastructure incidents. Scout represents Datadog's move from observability tools toward AI-native automation, positioning the company to deliver self-healing infrastructure capabilities as enterprises scale their digital operations.

Financial Performance and Cash Generation

Non-GAAP Operating Income reached $334 million in Q3 2026, with a 28% non-GAAP operating margin — a significant expansion from 23% in the same period last year. Cash Flow from operations was $290 million, and free cash flow totalled $251 million, representing a 21% free cash flow margin. Datadog ended the quarter with $5.2 billion in cash equivalents and marketable securities, maintaining a strong Balance Sheet for continued product investment.

Q4 and Full-Year Guidance

For Q4 2026, Datadog guided revenue of $1.19–$1.20 billion, with non-GAAP operating income of $280–$290 million and non-GAAP EPS of $0.69–$0.71. Full-year 2026 revenue guidance was raised to $4.515–$4.525 billion, with full-year non-GAAP EPS of $2.73–$2.75. Management noted that Q4 guidance assumes its largest AI customer remains at minimum contract commitments, introducing some near-term revenue conservatism.