Datadog sells software subscriptions that let engineers watch over their company's computer systems in real time. When a company's app slows down, crashes, or gets hacked, Datadog's platform is the tool that spots the problem first. Customers pay a monthly or annual fee to access the platform, and they pay more as they use more of it. The more cloud infrastructure a customer runs, the more they need Datadog, which means Datadog's revenue tends to grow automatically as its customers grow. Today the company serves approximately 32,700 customers across more than 160 countries, offering over 20 products that cover everything from infrastructure monitoring to security to AI application tracking. The diagram below traces where the money goes.
How Datadog Makes Money
flowchart LR
A["32,700 Customers
in 160+ Countries"] -->|"Land-and-expand
model"| B["Platform Usage
Grows: Metrics,
Traces, Logs"]
B --> C["SaaS Revenue
3.4B/year, 80%
gross margin"]
C --> D["R&D Investment
3,900 Engineers"]
D --> E["New Products
OnCall, Product
Analytics, Bits AI"]
E --> B
C --> F["Sales & Marketing
3,600 Staff"]
F --> A
B --> G["1,000+ Integrations
and Cross-Correlation"]
G --> B
C --> H["Operating Cash Flow
1.1B/year"]
H --> D
H --> F
Five years of financial data tell a clear story about direction. Revenue has grown every single year, rising from $1.0 billion in 2021 to $3.4 billion in 2025. That is more than a tripling of the business in four years. The engine generating that revenue has stayed healthy throughout.
Annual Revenue 2021 to 2025 ($ billions)
Revenue has grown every year for five consecutive years, from $1.0B in 2021 to $3.4B in 2025.
Gross margin measures how much money is left after paying the direct cost of delivering the product. For a software company, high gross margin means the product is efficient to run. Datadog's gross margin has held between 77% and 81% across all five years, showing that the cost of serving customers has not spiraled out of control even as the platform has grown much larger.
80%
Gross margin in 2025, consistent with 77 to 81% range across all five years
Cash generation tells an even clearer story. Operating cash flow grew from $0.3 billion in 2021 to $1.1 billion in 2025. Free cash flow, which is cash left after spending on equipment and software development, reached $0.9 billion in 2025. This means Datadog is producing real cash, not just accounting profits. One useful number to watch is the dollar-based net retention rate. This measures whether existing customers are spending more or less than they did a year ago. As of the end of 2025, that rate was about 120%, meaning existing customers were spending 20% more than they had a year earlier.
What is dollar-based net retention rate?
This number tracks spending from the same group of customers compared to the year before. A rate above 100% means those customers spent more in total, even after accounting for anyone who left or cut back. A rate of 120% means existing customers grew their spending by 20% on average.
The land-and-expand model is working in practice. Approximately 84% of customers were using two or more products as of December 31, 2025. Approximately 55% were using four or more products, up from 50% a year earlier. Approximately 9% were using ten or more products, up from 5% a year earlier. Each new product a customer adopts deepens their reliance on the platform and makes it harder to switch to a competitor.
4,310
Customers spending $100,000 or more per year as of December 31, 2025, representing 90% of total annual recurring revenue
Despite strong revenue growth, net income has been uneven. Datadog earned $48.6 million in 2023, then $183.7 million in 2024, then fell back to $107.7 million in 2025. The reason is heavy spending. Research and development expense alone was $1.5 billion in 2025, equal to 45% of total revenue. Sales and marketing added another $956 million. The company is deliberately plowing cash back into growth rather than maximising profit today. Whether that trade-off eventually pays off depends on what happens next.
2024
milestone
A single AI customer became a meaningful revenue driver
One large customer from the group Datadog calls AI-native companies contributed approximately seven percentage points of revenue growth in the second half of 2025. That is a striking level of concentration in one account. The same filing notes that customers in this group have previously ramped up usage and then cut back or stopped paying entirely, which is why this concentration is both an opportunity and a documented risk.
The risks Datadog faces are specific and documented, not generic. The first is customer concentration. One AI-native customer drove roughly seven percentage points of recent revenue growth. If that customer reduces usage, the effect on reported growth would be immediate and visible. The second risk is security. In April 2025, unauthorized parties accessed Datadog's source code repositories through compromised employee credentials. Future breaches could expose customer data, trigger regulatory fines, and erode the trust that the entire subscription business depends on. The third risk is platform reliability. The platform experienced major outages in March 2023. Customers pay for always-on monitoring, so outages strike at the core promise of the product. The fourth risk is infrastructure dependency. Datadog runs on third-party cloud providers. If those providers have disruptions, Datadog cannot serve its customers, and switching providers would be expensive and slow.
What is a land-and-expand model?
A company using this model signs customers up for a small initial product, then grows revenue by selling them more products over time. The customer does most of the expanding on their own through self-service, which keeps sales costs low. Datadog's platform is designed so that adopting one product makes it easier and more useful to add another.
There is also a broader structural risk. Datadog's revenue growth rate is expected to slow as the business gets larger. Growing from $1.0 billion to $1.7 billion is a 70% increase. Growing from $2.7 billion to $3.4 billion is 28%. The business is still expanding, but the rate of expansion is falling, and the company is simultaneously spending more on research and development and sales. If revenue growth continues to slow while costs stay high, the gap between spending and income could widen.
$187B
Total addressable market Datadog estimates across IT operations, security, application development, and analytics in 2029
The Bet
Datadog's existing customers keep expanding their usage across more products, and enough new customers keep joining, to justify the $1.5 billion per year the company is spending on research and development. The platform's value compounds as more products are used together, which is what the product adoption numbers suggest is happening. But that compounding only produces the financial returns the spending implies if customers do not cut back, if the AI-native cohort's usage holds or grows rather than collapses, and if the platform itself stays reliable and secure. If any of those conditions breaks down, the heavy investment in building products becomes a cost burden rather than a growth engine.
Open question
Datadog is spending aggressively on research and development, adding products, and deepening customer relationships. The retention rate is strong, cash flow is growing, and the addressable market is large. But one AI-native customer is already driving a disproportionate share of recent growth, the platform suffered a security breach in 2025, and net income fell even as revenue rose. Can Datadog convert its platform depth and product breadth into durable, broad-based revenue growth before the cost of building that platform outpaces what customers are willing to pay for it?
Compiled · 10-K · FY2025
Customer Retention and Revenue Concentration
The company depends on customers renewing their subscriptions and buying more products. One large customer in the AI-native cohort represented about seven percentage points of revenue growth in late 2025, and customers in this group have previously increased usage then reduced it or stopped paying. If major customers don't renew or cut back spending, revenue could drop significantly.
Security Breach and Data Loss
The company stores sensitive customer data and was recently breached in April 2025 when unauthorized parties accessed source code repositories through compromised employee credentials. Future breaches could expose customer data, lead to lawsuits, regulatory fines, and damage customer trust, forcing the company to spend large amounts fixing problems.
Platform Outages and Technical Failures
The company's business depends on customers being able to access its cloud platform reliably at all times. The platform experienced major outages in March 2023 affecting multiple products. If outages happen frequently or last long, customers may leave, revenue could decline, and the company's reputation could be damaged.
Dependence on Third-Party Cloud Providers
The company hosts its products on third-party cloud infrastructure providers. If these providers experience disruptions from cyber attacks, natural disasters, or other events, the company cannot serve its customers. Switching to a different provider would be expensive and time-consuming.
Slowing Revenue Growth and Profitability
The company's revenue growth rate is expected to decline as the business matures. The company is spending heavily on expansion and development but may not generate enough new revenue to cover these costs, which could result in losses and require additional financing.
10-K Item 1A · Risk Factors
