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1. Company Snapshot

1.a. Company Description

Datadog, Inc.provides monitoring and analytics platform for developers, information technology operations teams, and business users in the cloud in North America and internationally.The company's SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, and security monitoring to provide real-time observability of its customers technology stack.


Its platform also provides user experience monitoring, network performance monitoring, cloud security, developer-focused observability, and incident management, as well as a range of shared features, such as dashboards, analytics, collaboration tools, and alerting capabilities.The company was incorporated in 2010 and is headquartered in New York, New York.

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1.b. Last Insights on DDOG

Breaking News: Datadog Inc reported Q4 revenue of $953 million, a 29% year-over-year increase, and adjusted earnings of 59 cents per share, beating Street estimates. The company's bookings reached $1.63 billion, up 37% year over year. Free cash flow was $291 million with a strong margin. Datadog's results were driven by a growing customer base and strong revenue growth. Some analysts are questioning whether the results justify a 230x earnings multiple. A few analysts have a buy recommendation on the stock.

1.c. Company Highlights

2. Datadog's Q4 Earnings: A Strong Performance

Datadog reported a strong Q4 with revenue of $953 million, up 29% year over year, and above the high end of guidance. The company's EPS came out at $0.59, beating estimates of $0.555. The gross margin percentage was 81.4%, and the operating margin was 24%. The company's financial performance was driven by strong demand for its platform, with 84% of customers using two or more products.

Publication Date: Feb -11

📋 Highlights
  • Revenue and Bookings Growth:: Q4 revenue reached $953M (up 29% YoY), with $1.63B in bookings (up 37% YoY).
  • Customer Expansion:: Total customers grew to 32,700 (+8.3%), with 4,310 customers at $100K+ ARR (up 19.7% YoY).
  • Platform Adoption:: 84% of customers use ≥2 products, up from 83% YoY, driven by core observability pillars.
  • MCP and Key Deals:: 11x growth in MCP server usage QoQ; closed 8-figure deals with top AI/finance and e-commerce clients.
  • AI-Native Momentum:: 650 AI-native customers (14 of top 20 AI firms), with 19 spending $1M+ annually.

Revenue Growth and Customer Acquisition

The company's revenue growth was driven by strong customer acquisition, with 32,700 customers at the end of Q4, up from 30,000 a year ago. The number of customers with an ARR of $100,000 or more also increased to 4,310, up from 3,610 a year ago. These customers generated about 90% of ARR. As Olivier Pomel noted, "We're seeing significant growth from AI-native customers, with about 650 customers in this group, including 19 customers spending $1 million or more annually with Datadog."

Bookings and Revenue Retention

Datadog reported record bookings of $1.63 billion, up 37% year over year. The company's gross revenue retention rate remained stable in the mid to high nineties. The revenue retention metrics remain strong, with a trailing 12-month net retention revenue retention percentage of 120%.

Valuation Metrics

Looking at Datadog's valuation metrics, the P/S Ratio is 13.27, and the EV/EBITDA is 169.32. These metrics suggest that the company's stock price is relatively high compared to its revenue and EBITDA. Analysts estimate next year's revenue growth at 20.2%, which may justify some of the premium. However, investors should carefully consider whether the current valuation is justified by the company's future growth prospects.

Guidance and Future Prospects

Datadog provided guidance for the first quarter and full fiscal year 2026, expecting revenues to be in the range of $951 to $961 million and $4.06 to $4.1 billion, respectively. The company's guidance philosophy remains unchanged, with a conservative approach to growth trends. As David Obstler noted, "We apply conservatism on growth trends, and we've taken a similar approach to organic growth rates and attach rates."

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4. Business Breakdown

4.a. Revenues by Country

4.b. Revenues by Segment

5. Expected revenues mid-term growth (24.50%)

6. Segments

Information Technology (IT) Infrastructure

Expected Growth: 24.5%

Driven by increasing demand for cloud-based monitoring and analytics solutions, Datadog's IT infrastructure segment is expected to grow at a CAGR of 24.5%. Fundamental drivers include rising adoption of cloud-native technologies, expanding customer base, and continuous innovation in its platform offerings.

7. Detailed Products

Infrastructure Monitoring

Datadog's Infrastructure Monitoring product provides real-time monitoring and analytics for cloud and on-premises infrastructure, including servers, databases, and applications.

Application Performance Monitoring (APM)

Datadog's APM product provides detailed performance metrics and tracing for applications, including error tracking, code profiling, and service level objectives.

Log Management

Datadog's Log Management product provides a centralized platform for collecting, storing, and analyzing log data from applications and infrastructure.

Synthetic Testing

Datadog's Synthetic Testing product provides automated testing and monitoring of applications and APIs, including API testing, browser testing, and mobile testing.

Real User Monitoring (RUM)

Datadog's RUM product provides detailed insights into real-time user experiences, including page performance, error tracking, and user journey analysis.

Security Monitoring

Datadog's Security Monitoring product provides real-time threat detection and security analytics, including anomaly detection, vulnerability management, and compliance monitoring.

Cloud Cost Management

Datadog's Cloud Cost Management product provides detailed insights into cloud costs, including cost allocation, rightsizing, and reserved instance management.

8. Datadog, Inc.'s Porter Forces

Forces Ranking

Threat Of Substitutes

Datadog's unique approach to monitoring and analytics, combining metrics, logs, and traces into a single platform, makes it difficult for customers to switch to substitute products. The company's strong integration with various cloud services and its ability to provide a unified view of an organization's digital infrastructure further reduce the threat of substitutes.

Bargaining Power Of Customers

While Datadog's customers are large enterprises with significant negotiating power, the company's subscription-based model and the high switching costs associated with its platform reduce the bargaining power of customers. Additionally, Datadog's strong brand reputation and customer loyalty also mitigate the bargaining power of customers.

Bargaining Power Of Suppliers

Datadog relies on various cloud services, such as AWS, Azure, and Google Cloud, for its infrastructure. However, the company has established strong relationships with these suppliers, and its large scale and growth prospects give it significant negotiating power. Furthermore, the suppliers are highly dependent on Datadog's business, which reduces their bargaining power.

Threat Of New Entrants

The threat of new entrants is moderate, as the market for monitoring and analytics is growing rapidly, and new companies are entering the space. However, Datadog's strong brand reputation, its comprehensive platform, and its large customer base create significant barriers to entry for new companies.

Intensity Of Rivalry

The competition in the monitoring and analytics market is intense, with established players like New Relic, Splunk, and Elastic, as well as newer entrants. The market is growing rapidly, and companies are competing aggressively for market share. Datadog's strong brand reputation and its comprehensive platform help it to compete effectively, but the intensity of rivalry remains high.

9. SWOT Analysis

10. Capital Structure

10.a. Balance Sheet

10.b. Weighted Average Cost of capital

Value
Debt Weight 40.43%
Debt Cost 4.33%
Equity Weight 59.57%
Equity Cost 9.72%
WACC 7.54%
Leverage 67.87%

11. Quality Control: Datadog, Inc. passed 6 out of 9 key points

12.a Historical Valuation

12.b Price/Earnings Ratio

12.c Margin Valuation

12.d Peers Valuation

Peers Group Analysis

Stock-Card
ANSYS

A-Score: 5.4/10

Value: 0.8

Growth: 6.2

Quality: 8.6

Yield: 0.0

Momentum: 7.0

Volatility: 9.7

1-Year Total Return ->

Stock-Card
Autodesk

A-Score: 5.0/10

Value: 0.5

Growth: 7.3

Quality: 8.3

Yield: 0.0

Momentum: 6.0

Volatility: 8.0

1-Year Total Return ->

Stock-Card
Datadog

A-Score: 4.5/10

Value: 0.0

Growth: 9.7

Quality: 5.6

Yield: 0.0

Momentum: 8.0

Volatility: 4.0

1-Year Total Return ->

Stock-Card
Coinbase

A-Score: 4.1/10

Value: 2.3

Growth: 6.8

Quality: 8.8

Yield: 0.0

Momentum: 5.0

Volatility: 2.0

1-Year Total Return ->

Stock-Card
HubSpot

A-Score: 3.8/10

Value: 2.5

Growth: 8.7

Quality: 5.7

Yield: 0.0

Momentum: 1.5

Volatility: 4.3

1-Year Total Return ->

Stock-Card
MicroStrategy

A-Score: 3.6/10

Value: 7.2

Growth: 0.6

Quality: 9.1

Yield: 0.0

Momentum: 2.5

Volatility: 2.0

1-Year Total Return ->

Peers Metrics

12.e Scoring Insights

12.f DCF BETA

Parameters

Short Term Growth

Short term Time

Long-Term Growth

WACC

Target Price

125.2$

Current Price

125.2$

Potential

-0.00%

Expected Cash-Flows