Datadog (NASDAQ:DDOG) Posts 36% Revenue Growth and EPS Beat in Q2 2026, Raises Full-Year Outlook

Datadog (NASDAQ: DDOG) reported second-quarter 2026 results on August 6, with revenue of $1.12 billion growing 36% year-over-year and adjusted EPS of $0.65 beating the $0.60 consensus estimate by 8.3%. The company also raised its full-year revenue outlook, though third-quarter guidance landed below some expectations.

Q2 2026 Financial Results

• Revenue: $1.12 billion, up 36% year-over-year from approximately $823.5 million in Q2 2025
• Adjusted EPS: $0.65, beating the $0.60 consensus; GAAP EPS was $0.12 per diluted share
• Non-GAAP operating income: $257 million, representing a 23% non-GAAP operating margin; GAAP operating income was $5 million (0% GAAP operating margin)
• Operating cash flow: $316 million; free cash flow of $279 million on capital expenditures of $37 million
• Cash and marketable securities: $5.0 billion as of June 30, 2026
• Large customers: approximately 4,720 customers with annual recurring revenue of $100,000 or more, up 23% from approximately 3,850 a year ago

What Drove the Results

Adjusted EPS of $0.65 beat the $0.60 consensus by $0.05, and revenue of $1.12 billion grew 36% year-over-year, reflecting broad platform adoption. The wide gap between GAAP operating income of $5 million (0% margin) and non-GAAP operating income of $257 million (23% margin) reflects the scale of stock-based compensation and other non-cash charges excluded from the adjusted figure.

The third-quarter revenue outlook of $1.135 billion to $1.145 billion, with a midpoint of $1.14 billion, came in approximately 2.9% above analyst consensus, though some market participants had expected more given the stock's substantial appreciation in 2026 ahead of results. Full-year 2026 revenue guidance was set at $4.45 billion to $4.47 billion, with full-year non-GAAP operating income of $1.01 billion to $1.03 billion.

On the operational side, the 23% year-over-year increase in $100,000-plus ARR customers to approximately 4,720 reinforces the demand signal for Datadog's platform at the enterprise level. The company also completed the acquisition of Adaptive ML, a reinforcement learning operations startup, to accelerate its AI research capabilities.

Why It Matters

Datadog launched more than 100 new capabilities at its DASH 2026 conference, including fully autonomous Bits AI for incident detection and remediation, AI Guard for protecting AI agents from prompt injection attacks, and general availability of Bits Code, Bits Chat, and Bits Agent Builder. These product expansions position the platform deeper into AI infrastructure management, where customers are building and deploying AI-enabled solutions.

The company was also named a Leader in the Gartner Magic Quadrant for Observability Platforms for the sixth consecutive year, a recognition that carries weight in enterprise procurement cycles.

Wall Street View

Analyst sentiment heading into the report was broadly constructive, though the stock's substantial run in 2026 into the print raised the performance bar. The forward guidance, while modestly above prior consensus at the midpoint, did not appear sufficient to sustain the pre-earnings valuation for some investors. Shares fell -1.73% on Wednesday, August 5, while the S&P 500 declined 0.20%, ahead of the earnings release.

Investor Takeaway

Datadog delivered a clean beat on both adjusted EPS and revenue, and the 36% year-over-year revenue growth with $279 million in free cash flow shows the business is scaling profitably on a cash basis. The more consequential question for investors is whether the pace of large-customer additions, now at 4,720 with $100,000-plus ARR, can sustain the growth trajectory implied by a forward multiple that leaves little room for guidance to merely meet expectations rather than exceed them by a wider margin.