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DDOG 4-star rating from Upturn Advisory
Datadog Inc (DDOG) company logo

Datadog Inc (DDOG)

Datadog Inc (DDOG) 4-star rating from Upturn Advisory
$104.43
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Upturn Advisory Summary

02/24/2026: DDOG (4-star) is currently NOT-A-BUY. Pass it for now.

Upturn Star Rating

Upturn 4 star rating for performance

Above Average Performance

These Stocks/ETFs, based on Upturn Advisory, frequently surpass the market, reflecting reliable and trustworthy advice.

Number of Analysts

5 star rating from financial analysts

46 Analysts rated it

Highly popular stock, broad analyst coverage, trusted insights, strong investor interest.

1 Year Target Price $182.43

1 Year Target Price $182.43

Analysts Price Target For last 52 week
$182.43 Target price
52w Low $81.63
Current$104.43
52w High $201.69
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Key Highlights

Company Size Large-Cap Stock
Market Capitalization 35.98B USD
Price to earnings Ratio 331.02
1Y Target Price 182.43
Price to earnings Ratio 331.02
1Y Target Price 182.43
Volume (30-day avg) 46
Beta 1.29
52 Weeks Range 81.63 - 201.69
Updated Date 02/24/2026
52 Weeks Range 81.63 - 201.69
Updated Date 02/24/2026
Dividends yield (FY) -
Basic EPS (TTM) 0.31

Analyzing Revenue: Products, Geography and Growth

Revenue by Geography

Geography revenue - Year on Year

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Earnings Date

Report Date 2026-02-10
When Before Market
Estimate 0.55
Actual 0.59

Profitability

Profit Margin 3.14%
Operating Margin (TTM) 1%

Management Effectiveness

Return on Assets (TTM) -0.43%
Return on Equity (TTM) 3.34%

Valuation

Trailing PE 331.02
Forward PE 67.57
Enterprise Value 32788247908
Price to Sales(TTM) 10.5
Enterprise Value 32788247908
Price to Sales(TTM) 10.5
Enterprise Value to Revenue 9.57
Enterprise Value to EBITDA 174.19
Shares Outstanding 325443373
Shares Floating 326161081
Shares Outstanding 325443373
Shares Floating 326161081
Percent Insiders 1.34
Percent Institutions 90.39

Icon representing Upturn AI-generated SWOT analysis summary Upturn AI SWOT

Datadog Inc

Datadog Inc(DDOG) company logo displayed in Upturn AI summary

Company Overview

Company history and background logo History and Background

Datadog Inc. was founded in 2010 by Olivier Pomel, Alexis Lu00ea-Quang, and David Guillet. The company is headquartered in New York City. Datadog has grown rapidly to become a leading platform for monitoring, security, and analytics for cloud applications. Key milestones include its IPO in 2019 and continuous expansion of its product suite to address a wide range of observability needs.

Company business area logo Core Business Areas

  • Infrastructure Monitoring: Provides real-time monitoring of servers, containers, databases, and other infrastructure components. It offers visibility into performance metrics, logs, and traces.
  • Application Performance Monitoring (APM): Enables developers to track requests as they travel through applications, identify performance bottlenecks, and debug issues across distributed systems.
  • Log Management: Aggregates, indexes, and analyzes logs from various sources, providing a centralized platform for troubleshooting and security analysis.
  • Security Monitoring: Offers security-focused visibility, threat detection, and compliance monitoring for cloud environments, including real-time security analytics and automated response.
  • Cloud Cost Management: Helps organizations understand and optimize their cloud spending by providing visibility into cloud resource usage and costs.
  • Real User Monitoring (RUM): Tracks end-user experience by collecting performance data from web and mobile applications, identifying user-facing issues.

leadership logo Leadership and Structure

The company is led by co-founders Olivier Pomel (CEO) and Alexis Lu00ea-Quang (CTO). Datadog operates with a matrix organizational structure, common in technology companies, focusing on product development, engineering, sales, and marketing.

Top Products and Market Share

Product Key Offerings logo Key Offerings

  • Datadog Platform: A comprehensive SaaS-based monitoring and analytics platform that unifies data from infrastructure, applications, logs, security, and user experience. Competitors include Splunk (SPLK), Dynatrace (DT), New Relic (NEWR), Sumo Logic (SUMO). Market share for the entire observability market is fragmented. Datadog is a significant player, often cited as a leader in Gartner Magic Quadrants.
  • Infrastructure Monitoring: Real-time dashboards and alerts for servers, containers, and cloud resources. Competitors include Amazon CloudWatch, Azure Monitor, Google Cloud Operations Suite, Prometheus.
  • APM: End-to-end tracing, distributed transaction analysis, and performance profiling. Competitors include Dynatrace, New Relic, AppDynamics (part of Cisco).
  • Log Management: Centralized log aggregation, search, and analysis. Competitors include Splunk, Elasticsearch (part of Elastic NV), LogRhythm.
  • Security Platform: Threat detection, vulnerability management, and compliance monitoring. Competitors include CrowdStrike (CRWD), Palo Alto Networks (PANW), Splunk.

Market Dynamics

industry overview logo Industry Overview

Datadog operates in the rapidly growing observability and cloud monitoring market. This sector is driven by the increasing adoption of cloud computing, microservices architectures, and the need for real-time insights into complex IT environments. The market is characterized by continuous innovation and a demand for unified platforms.

Positioning

Datadog is positioned as a leading unified observability platform, offering a comprehensive suite of tools for developers, IT operations teams, and security professionals. Its key competitive advantages include its ease of use, powerful AI capabilities, extensive integrations, and its unified platform approach, which reduces the complexity of managing multiple disparate tools.

Total Addressable Market (TAM)

The Total Addressable Market for observability and cloud monitoring is estimated to be tens of billions of dollars and is projected to continue growing at a significant CAGR. Datadog is well-positioned to capture a substantial portion of this market due to its integrated platform and strong customer adoption, particularly among large enterprises.

Upturn SWOT Analysis

Strengths

  • Unified platform approach integrating monitoring, APM, logging, security, and more.
  • Strong adoption among mid-market and enterprise customers.
  • Robust AI and machine learning capabilities for anomaly detection and insights.
  • Extensive integration ecosystem with cloud providers and third-party tools.
  • Experienced leadership team and strong product vision.

Weaknesses

  • Can be a premium-priced solution, potentially a barrier for smaller businesses.
  • Dependence on cloud providers for infrastructure.
  • Intense competition from established players and emerging startups.
  • Need for continuous innovation to keep pace with evolving cloud technologies.

Opportunities

  • Expansion into new verticals and geographies.
  • Growth in serverless and edge computing observability.
  • Increased demand for security observability and compliance solutions.
  • Strategic partnerships and acquisitions to broaden capabilities.
  • Further development of AI-driven features for automated operations.

Threats

  • Economic downturn impacting IT spending.
  • Intensifying competition and price wars.
  • Rapid technological shifts that could render current solutions obsolete.
  • Data privacy regulations and security breaches.
  • Potential for cloud providers to enhance their native monitoring offerings.

Competitors and Market Share

Key competitor logo Key Competitors

  • Splunk Inc. (SPLK)
  • Dynatrace Inc. (DT)
  • New Relic Inc. (NEWR)
  • Sumo Logic Inc. (SUMO)

Competitive Landscape

Datadog's advantage lies in its unified, SaaS-native platform that simplifies observability for complex cloud environments. While competitors like Splunk offer broad capabilities and Dynatrace excels in APM, Datadog's integrated approach and ease of use are key differentiators. However, competition is fierce, with cloud providers also offering their own monitoring tools.

Major Acquisitions

Certain

  • Year: 2022
  • Acquisition Price (USD millions): 100
  • Strategic Rationale: Acquired to enhance Datadog's security monitoring and threat detection capabilities, further strengthening its security platform offering.

Sahaj Software

  • Year: 2022
  • Acquisition Price (USD millions): 45
  • Strategic Rationale: Acquired to bolster Datadog's engineering talent and accelerate product development, particularly in areas of cloud monitoring and analytics.

Growth Trajectory and Initiatives

Historical Growth: Datadog has experienced significant historical growth since its inception, rapidly scaling its revenue and customer base. This growth has been fueled by the increasing adoption of cloud technologies and the need for robust observability solutions.

Future Projections: Analyst estimates generally project continued strong revenue growth for Datadog in the coming years, driven by market expansion, new product offerings, and increasing adoption of its unified platform. (Specific growth rates require current analyst reports.)

Recent Initiatives: Recent initiatives include the expansion of its security platform, enhancements to its AI capabilities, strategic partnerships with cloud providers, and the introduction of new products like Cloud Cost Management.

Summary

Datadog Inc. is a strong player in the rapidly expanding observability market, offering a unified, comprehensive platform. Its key strengths lie in its integrated approach, strong customer adoption, and innovative AI capabilities. However, the company faces intense competition and must continually innovate to maintain its leadership position. Continued investment in expanding its security offerings and addressing cloud cost management presents significant growth opportunities.

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Sources and Disclaimers

Data Sources:

  • Datadog Investor Relations
  • Company SEC Filings (10-K, 10-Q)
  • Industry Analyst Reports (e.g., Gartner, Forrester)
  • Financial News Outlets (e.g., Bloomberg, Reuters)
  • Market Data Providers

Disclaimers:

This analysis is based on publicly available information and market data. Financial figures and market share estimates are subject to change and should be verified with the latest official company reports and market research. This is not investment advice. Investors should conduct their own due diligence.

Information icon for Upturn AI Summarization accuracy disclaimer AI Summarization is directionally correct and might not be accurate.

Information icon for Upturn AI Summarization data freshness disclaimer Summarized information shown could be a few years old and not current.

Information icon warning about Upturn AI Fundamental Rating based on potentially old data Fundamental Rating based on AI could be based on old data.

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About Datadog Inc

Exchange NASDAQ
Headquaters New York, NY, United States
IPO Launch date 2019-09-19
Co-Founder, CEO & Director Mr. Olivier Pomel
Sector Technology
Industry Software - Application
Full time employees 8100
Full time employees 8100

Datadog, Inc. operates an observability and security platform for cloud applications in the United States and internationally. The company's products comprise infrastructure and application performance monitoring, log management, observability pipelines, synthetics, real user monitoring, product analytics, continuous profiler, database monitoring, data observability, LLM observability, error tracking, network monitoring, incident response, workflow automation and App builder, event management, bits AI SRE, cloud cost management, cloud security, code security, cloud SIEM, threat management, sensitive data scanner, and CI visibility. Datadog, Inc. was incorporated in 2010 and is headquartered in New York, New York.