Nasdaq-100® Inside the Index: Datadog (DDOG)

Business Model & Revenue Drivers

How Datadog Gets Paid

The product is visibility. Datadog collects the metrics, traces, logs, and security signals coming off cloud software and puts them on one screen, so an engineer can see why checkout is failing at 3 a.m. The platform started in infrastructure monitoring and now runs to more than 20 products; the three largest — infrastructure monitoring, application performance monitoring, and log management — together carry more than $3.6B in annual recurring revenue (per company disclosures).

Pricing is usage based. A customer starts on one product and expands as workloads grow, which is why adoption spreads sideways across the account. Datadog is paid by the volume of software running, so its revenue follows its customers' compute rather than their headcount.

Competitive Moat

Why This Is Hard to Replicate

Everything lands in one data layer. A rival selling a single tool has to rebuild that shared context before it can show what an incident responder already sees in one place, and once a company standardizes on Datadog for production incidents, switching means retraining the people who get paged. Datadog also stays neutral across Amazon Web Services, Microsoft Azure, and Google Cloud, so a customer moving workloads between them keeps one view (per company disclosures).

Price is the other lever. Datadog's log management runs roughly 30% cheaper on average than Splunk's, and Splunk displacements accelerated through 2025 and 2026 (per industry channel checks). In a recent channel survey, 76% of respondents said Datadog is gaining share against other observability vendors, the fourth consecutive quarter of observed gains. Gross retention is near 100% among enterprise customers.

Operating Strengths

Three Structural Advantages

1. 80–82% gross margin, eight straight quarters. Non-GAAP gross margin has held in that band every quarter since Q3 2024 (per company filings), the software economics sitting under the usage model.
2. 55% of customers using four or more products. As of December 31, 2025 (per company disclosures). Expansion happens inside accounts Datadog already has.
3. $3.47B contracted backlog, Q2 2026. Revenue already under contract rose 43% year over year (per company filings), giving forward visibility a usage model would otherwise lack.

Growth Catalysts

Where the Next Dollar Comes From

AI runs both ways here. Datadog builds AI into its own products and sells monitoring for other companies' AI workloads: more than 750 AI-native customers as of Q2 2026, all ten of the largest AI companies among them, eight spending $10M or more a year, together about 14% of annual recurring revenue (per company disclosures). Code written by AI assistants still has to be watched around the clock, which represents potential upside for the core business. The agentic Bits products extend that, with Bits SRE Agent generally available since December 2025 and adopted by more than 2,000 customers.

• Room in the category. The commercial observability market is estimated at ~$18B today with Datadog at roughly 14% share, inside a total addressable market estimated at $187B by 2029 (per Bloomberg research estimates).
• Security attach. The security line surpassed $100M in annual recurring revenue with ~8,500 customers, including about a quarter of the Fortune 500 (per company disclosures).
• International. About 29% of revenue comes from outside North America across 35 countries, markets estimated to trail the US by two to three years in digital transformation, which represents upside as enterprise cloud adoption spreads.

Historical Context

FY2022–FY2027E Revenue Trajectory

Revenue has roughly doubled since FY2022, with annual growth holding in the mid-to-high 20s% across the period (per company filings): $1.68B in FY2022, $2.13B in FY2023, $2.68B in FY2024, and $3.43B in FY2025, up 27.7% year over year, with $4.47B and $5.48B in the FY2026E and FY2027E figures. Growth then accelerated for five consecutive quarters into Q2 2026, when a $115M sequential revenue add set a company record. Non-GAAP operating margin was 19.9% in Q2 2026, free cash flow was $278.7M at a 25% margin, and customers above $100K in annual spend reached 4,720, up 23% year over year. The final two bars are expectations, not results (company guidance and consensus estimates).

Five straight quarters of faster growth. The largest quarterly revenue add in company history.

Valuation & Investment Thesis

Priced for Continued Growth

Datadog trades at ~92× forward earnings (NTM) and 21.7× next-twelve-month enterprise value to revenue. That is a premium to the software peer group, which analysts tie to a revenue growth rate near 30%, an improving free cash flow margin, and AI exposure (per analyst commentary).

That revenue multiple sits far below its 68.9× peak of September 2021 and above its 9.6× low of December 2025. What the premium prices is the usage stream: growth that arrives without a new sales cycle.

Key Risks

What Could Change the Story

• Customer concentration, with a deliberate usage reduction from its largest customer, OpenAI, beginning in Q3 2026, and further cuts from large AI-native accounts would be material.
• Usage-based variability, since customers can spend less without cancelling, which makes revenue hard to forecast in enterprise cost-optimization cycles.
• Gross margin pressure from pricing AI and GPU telemetry as those workloads scale.
• Hyperscaler competition, with the major clouds acting as supplier, channel, and competitor at once, and their native tools able to absorb cost-sensitive workloads.
• Valuation sensitivity, since at a premium multiple any deceleration in growth or margin expansion leaves little room for error.