Asana, Inc. (ASAN) Q3 2025 Earnings Call Transcript

Asana, Inc. (NYSE:ASAN) Q3 2025 Earnings Conference Call December 5, 2024 4:30 PM ET

Company Participants

Catherine Buan – Head of IR
Dustin Moskovitz – Co-Founder and CEO
Anne Raimondi – Chief Operating Officer and Head of Business
Sonalee Parekh – Chief Financial Officer

Conference Call Participants

Josh Baer – Morgan Stanley
Rob Oliver – Baird
Brent Bracelin – Piper Sandler
Steven Enders – Citi
Michael Funk – Bank of America
Brent Thill – Jefferies
Lucky Schreiner – D.A. Davidson

Catherine Buan

Hello everyone and welcome to Asana’s Third Quarter Fiscal Year 2025 Earnings call. At this time all participants are in a listen-only mode. After the speaker’s presentation, there would be a question-and-answer session. [Operator Instructions] Please be advised that today’s conference is being recorded. Now I will pass the call over to the head of investor relations, Catherine Buan. Please proceed.

Catherine Buan

Good afternoon. And thank you for joining us on today’s conference call to discuss the financial results for Asana’s third quarter fiscal year 2025. With me on today’s call are Dustin Moskovitz, Asana’s Co-Founder and CEO; Anne Raimondi, our Chief Operating Officer and Head of Business; and Sonalee Parekh, our Chief Financial Officer.

Today’s call will include forward-looking statements, including statements regarding the expected benefits of our product offerings, including AI Studio, and our expectations for revenue to be generated by AI Studio, our expectation for free cash flow, our financial outlook, strategic plans, our market position and growth opportunities. Forward-looking statements involve risks, uncertainties, and assumptions that may cause our actual results to be materially different from those expressed or implied by the forward-looking statements. Please refer to our filings with the SEC, including our most recent annual report on Form 10-K and quarterly report on Form 10-Q, for additional information on risks, uncertainties and assumptions that may cause actual results to differ materially from those set forth