Earnings summaries and quarterly performance for Datadog.
Executive leadership at Datadog.
Olivier Pomel
Chief Executive Officer
Adam Blitzer
Chief Operating Officer
Alexis Lê-Quôc
Chief Technology Officer
David Galloreese
Chief People Officer
David Obstler
Chief Financial Officer
Kerry Acocella
General Counsel and Secretary
Sean Walters
Chief Revenue Officer
Yanbing Li
Chief Product Officer
Board of directors at Datadog.
Research analysts who have asked questions during Datadog earnings calls.
Mark Murphy
JPMorgan Chase & Co.
6 questions for DDOG
Raimo Lenschow
Barclays
6 questions for DDOG
Sanjit Singh
Morgan Stanley
6 questions for DDOG
Koji Ikeda
Bank of America
4 questions for DDOG
Andrew Sherman
Cowen
3 questions for DDOG
Brent Thill
Jefferies
3 questions for DDOG
Gray Powell
BTIG
3 questions for DDOG
Ittai Kidron
Oppenheimer & Company
3 questions for DDOG
Jake Roberge
William Blair & Company, L.L.C
3 questions for DDOG
Kasthuri Rangan
Goldman Sachs
3 questions for DDOG
Mike Cikos
Needham & Company, LLC
3 questions for DDOG
Alex Zukin
Wolfe Research LLC
2 questions for DDOG
Eric Keith
KeyBank
2 questions for DDOG
Fatima Boolani
Citi
2 questions for DDOG
Karl Keirstead
UBS
2 questions for DDOG
Karl Kierstad
UBS
2 questions for DDOG
Kash Rangan
Goldman Sachs
2 questions for DDOG
Matthew Hedberg
RBC Capital Markets
2 questions for DDOG
Ryan MacWilliams
Barclays
2 questions for DDOG
S. Kirk Materne
Evercore ISI
2 questions for DDOG
Adam Tindle
Raymond James
1 question for DDOG
Andrew DeGasperi
BNP Paribas
1 question for DDOG
Brad Reback
Stifel
1 question for DDOG
Eric Heath
KeyBanc Capital Markets
1 question for DDOG
Gregg Moskowitz
Mizuho
1 question for DDOG
Howard Ma
Guggenheim Securities, LLC
1 question for DDOG
Jacob Roberge
William Blair
1 question for DDOG
Matthew Martino
Goldman Sachs
1 question for DDOG
Michael Cikos
Needham & Company
1 question for DDOG
Patrick Colville
Scotiabank
1 question for DDOG
Patrick Walravens
Citizens JMP
1 question for DDOG
Recent press releases and 8-K filings for DDOG.
- Datadog's business model, characterized by frictionless adoption and a usage model, supports sustained investment in R&D (around 30% of revenues) and sales and marketing, contributing to both growth and profitability.
- The company delivered strong Q3 2025 results, including 28% total revenue growth, accelerated core business performance, and new logo annualized bookings that more than doubled year-over-year.
- Datadog's security business achieved over $100 million in Annual Recurring Revenue (ARR), growing at a mid-50% year-over-year rate, primarily driven by its Cloud SIEM product and market opportunities.
- Management indicates the company is in the "early innings" of its long-term evolution, expanding its platform into security and remediation, and capitalizing on opportunities in modernized workloads and AI adoption.
- Datadog's business model, featuring a frictionless usage-based platform and efficient go-to-market, supports both high growth and profitability, with R&D consistently around 30% of revenues.
- The company is in the early innings of a multi-year evolution into security and remediation, expanding beyond core observability, with significant opportunities in modernized workloads.
- A positive buying environment in Q3 2025, extending into October, resulted in new logo annualized bookings more than doubling year-over-year and larger land sizes.
- The security business has achieved over $100 million in ARR and is growing at a mid-50% year-over-year rate, primarily driven by its Cloud SIEM product and strong observability logs.
- AI is a significant growth driver, both from AI-native companies adopting Datadog's platform and the company's internal integration of AI, including the recent General Availability of its first AI-native application, the SRE agent.
- Datadog's CFO, David Obstler, outlined the company's "flywheel" business model, which supports top-decile growth and strong margins through frictionless adoption, a usage model, and efficient go-to-market, enabling sustained 30% R&D investment.
- The company is in the "early innings" of expanding its platform beyond core observability into security, remediation, and product analytics, with significant long-term growth potential in modernized workloads.
- Datadog experienced an improved demand environment in Q3 2025, achieving 28% total revenue growth, an acceleration in the core business (excluding AI natives), and new logo annualized bookings more than doubling year-over-year, including larger, seven-figure wins.
- Strategic investments in sales and marketing and R&D during 2025 are paying off, contributing to these results. The AI opportunity is a key growth driver, with strong demand from "AI natives" and Datadog integrating AI into its platform.
- The security business has grown to over $100 million ARR, accelerating at mid-50% year-over-year, primarily driven by the maturity of its Cloud SIEM product and market disruption.
- Datadog experienced a broad-based strong quarter, driven by expanded sales capacity and a more constructive buying environment compared to prior quarters.
- The AI native cohort now accounts for 12% of revenues, demonstrating significant customer breadth with over 500 customers, over 100 spending more than $100,000, and over 15 spending $1 million.
- The company successfully renewed and expanded a large contract, reinforcing its high gross retention rates (in the very high 90s) for large customers.
- Datadog sees future growth opportunities in products like Cloud SIEM and service management, with Bits SRE recently going GA, while managing pricing through volume-based models and optimization tools.
- Datadog reported a broad-based strong quarter driven by expanding sales capacity, new and larger logos, and a rebound in the SMB segment, alongside maintained strength in enterprise, indicating a constructive buying environment.
- The AI-native cohort now accounts for 12% of revenues, comprising over 500 customers, with more than 100 spending over $100,000 and 15 spending over $1 million, demonstrating significant breadth beyond a single large customer.
- The company successfully renewed and expanded a large contract, reinforcing its high gross retention rates (98%+) for major clients and highlighting the economic benefits of using Datadog over in-house solutions.
- Datadog sees long-term tailwinds from continued cloud migration and is focused on product extensions like Cloud SIEM and the recently GA'd Bits SRE for future growth, while balancing investments to maintain long-term growth rates and respect its mid-20s margin guidance.
- Datadog's recent strong performance is attributed to expanding quota capacity, platform and product investments (including Digital Experience Monitoring exceeding $300 million and success in Cloud SIEM), and a reduced headwind from optimization.
- The company is observing significant growth from non-AI customer cohorts, as AI is prompting the modernization of legacy workloads and accelerating new application creation, thereby increasing Datadog's market share.
- Datadog's security business has accelerated, particularly in Cloud SIEM, due to enhanced capabilities, competitive cost advantages, and improved enterprise selling motions.
- New logo additions were up dramatically, driven by successful ramping of quota capacity and securing larger deals through broader platform adoption.
- Datadog maintains a long-term EBIT target of 25%, which is used to guide its investment strategy.
- Datadog is experiencing accelerated growth driven by expanded sales capacity, an increase in new and larger customer logos, and successful product investments, including Digital Experience Monitoring exceeding $300 million.
- The company notes a positive trend in the non-AI customer cohort, attributing it to AI driving the modernization of legacy workloads and accelerating new application development, thereby increasing Datadog's platform market share.
- Datadog's security business, especially Cloud SIEM, is accelerating due to enhanced capabilities, cost-effectiveness, and improved enterprise selling, with code security identified as a future opportunity.
- With $4 billion in cash, Datadog views M&A as a strategic tool for product management, open to larger acquisitions that align with its product roadmap and integrate natively into the platform.
- Datadog maintains a long-term EBIT target of 25% and highlights service management, security, and AI (including BitsAI and covering AI workloads) as key breakout opportunities for future expansion.
- Datadog's recent quarter marked an inflection point in performance, attributed to expanded quota capacity, product investments (including Digital Experience Monitoring exceeding $300 million), and reduced optimization headwinds.
- The company reported continued momentum in October and a strong pipeline for Q4 and early next year, highlighted by the renewal and expansion of its largest AI customer and growth among other AI-native clients.
- Datadog holds approximately $4 billion in cash and is open to larger M&A deals that align with its product strategy and integrate talent, while also investing in future growth areas like service management, security, and AI initiatives such as Bits AI.
- Datadog reported Q3 2025 revenue of $886 million, an increase of 28% year-over-year, and generated $214 million in free cash flow with a 24% free cash flow margin.
- The company ended Q3 2025 with approximately 32,000 customers, including 4,060 customers with an Annual Recurring Revenue (ARR) of $100,000 or more, who collectively generated about 89% of the company's ARR.
- Datadog observed an acceleration of year-over-year revenue growth across its non-AI customers, with sequential usage growth for non-AI existing customers being the highest in 12 quarters, and AI-native customers now representing 12% of revenue.
- For Q4 2025, Datadog expects revenue to be in the range of $912 million-$916 million and non-GAAP operating income between $216 million-$220 million.
- For the full fiscal year 2025, the company anticipates revenue between $3.386 billion-$3.390 billion and non-GAAP operating income between $754 million-$758 million.
- Datadog reported Q3 2025 revenue of $886 million, an increase of 28% year-over-year, and generated $214 million in free cash flow with a 24% margin.
- The company experienced accelerated year-over-year revenue growth across its non-AI customers, noting the highest sequential usage growth for non-AI existing customers in 12 quarters.
- Datadog ended Q3 2025 with approximately 32,000 customers, including 4,060 customers with an ARR of $100,000 or more, who collectively generated about 89% of the company's ARR.
- For Q4 2025, Datadog expects revenue between $912 million and $916 million and non-GAAP net income per share between $0.54 and $0.56. For fiscal year 2025, revenue is projected to be between $3.386 billion and $3.390 billion, with non-GAAP net income per share between $2.00 and $2.02.
Quarterly earnings call transcripts for Datadog.
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