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Datadog, Inc. (DDOG) Q1 2026 Earnings Call May 7, 2026 8:00 AM EDT
Company Participants
Yuka Broderick - Investor Relations
Olivier Pomel - Co-Founder, CEO & Director
David Obstler - Chief Financial Officer
Conference Call Participants
Mark Murphy - JPMorgan Chase & Co, Research Division
Sanjit Singh - Morgan Stanley, Research Division
Raimo Lenschow - Barclays Bank PLC, Research Division
Gabriela Borges - Goldman Sachs Group, Inc., Research Division
Karl Keirstead - UBS Investment Bank, Research Division
Fatima Boolani - Citigroup Inc., Research Division
S. Kirk Materne - Evercore ISI Institutional Equities, Research Division
Patrick Edwin Colville - Scotiabank Global Banking and Markets, Research Division
Peter Weed - Bernstein Institutional Services LLC, Research Division
Gregg Moskowitz - Mizuho Securities USA LLC, Research Division
Presentation
Operator
Good day, and thank you for standing by. Welcome to the First Quarter 2026 Datadog Earnings Conference Call. [Operator Instructions] Please be advised that today's conference is being recorded.
I would now like to turn the conference over to Yuka Broderick, Senior Vice President of Investor Relations. Please go ahead.
Yuka Broderick
Investor Relations
Thank you, Lisa. Good morning, and thank you all for joining us to review Datadog's first quarter 2026 financial results, which we announced in our press release issued this morning. Joining me on the call today are Olivier Pomel, Datadog's Co-Founder and CEO; and David Obstler, Datadog's CFO.
During this call, we will make forward-looking statements, including statements related to our future financial performance, our outlook for the second quarter and the fiscal year 2026 and related notes and assumptions, our product capabilities and our ability to capitalize on market opportunities. The words anticipate, believe, continue, estimate, expect, intend, will and similar expressions are intended to identify forward-looking statements and similar indications of future expectations. These statements reflect our views today and are subject to a variety of risks and uncertainties that could cause actual results to differ materially.
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