Datadog (NASDAQ: DDOG) delivered a third quarter that was not just a beat but a statement. Revenue of $1.20 billion grew 35% year over year, topping consensus estimates by roughly $55 million. Non-GAAP diluted EPS of $0.81 came in $0.17 ahead of the $0.64 analyst forecast, extending a pattern of operating leverage that is becoming structural rather than episodic.
The headline numbers are strong, but the composition matters more. Revenue growth of 35% is decelerating from the 38% clip in Q2 2026, yet the beat magnitude widened. That suggests the company is consistently under-promising and over-delivering, a dynamic that gives management considerable credibility when it guides. The Q4 revenue guidance of $1.19B to $1.20B implies roughly 24% YoY growth, a step down from Q3's rate but still well above the 20% threshold that would worry growth investors. Full-year 2026 revenue guidance of $4.515B to $4.525B implies about 35% annual growth, in line with what the company just printed.
The beat was not a one-off driven by easy comps or currency tailwinds. Enterprise traction is the real engine. Customers with annual recurring revenue over $100,000 increased 20% year over year to approximately 4,860, up from about 4,060 a year ago. That metric is a direct read on platform stickiness and land-and-expand momentum. When large customers increase their commitment, switching costs rise and churn risk falls. The 20% growth rate in this cohort has been remarkably consistent over recent quarters, suggesting the platform's value proposition is resonating across a widening base of enterprise buyers.
Margin expansion tells a similar story. Non-GAAP operating margin reached 28%, up 500 basis points from 23% in the prior year. GAAP operating income swung from a $5.8 million loss to a $74.7 million profit. The gap between GAAP and non-GAAP operating income is largely stock-based compensation, which totaled $237 million in the quarter. That is a large number, but it is also a known and recurring cost of retaining engineering talent in a competitive market. The non-GAAP margin trajectory is what matters for operating efficiency, and it is moving in the right direction.
Cash generation remains robust. Operating cash flow hit $290 million, and free cash flow reached $251 million, representing a 21% free cash flow margin. The company now holds $5.2 billion in cash, cash equivalents, and marketable securities. That war chest gives Datadog ample capacity for both organic investment and M&A. The acquisition of businesses for $115.6 million in the first nine months of 2026 signals that management is willing to deploy capital for strategic bolt-ons, not just sit on the cash.
The product narrative also advanced. Datadog launched Scout 1.0, its first specialized AI model for production issue investigation, now powering Bits Investigation. The company claims frontier-model performance at a fraction of the inference cost. This is not just a feature release; it is a signal that Datadog is embedding AI into its core platform in a way that could further differentiate it from observability competitors. The Forrester Wave AIOps Platforms Leader designation and Gartner's "Company to Beat" recognition for observability platforms reinforce the positioning.
What to watch next. The Q4 guidance implies a sequential revenue decline from Q3's $1.20B to roughly $1.195B at the midpoint, which is typical seasonality for enterprise software. The more important signal will be whether the company raises its full-year outlook when it reports Q4. If the enterprise cohort continues expanding at 20% and the AI product cycle gains traction, Datadog is well positioned to sustain growth above 25% into fiscal 2027. The risk is that the deceleration from 35% to 24% in Q4 guidance could accelerate if macro headwinds pressure IT budgets. For now, the data points to a company executing at a high level with room to run.