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Doximity Q1 revenue beats analyst estimates

Doximity Q1 revenue beats analyst estimates


Overview

  • US digital health platform's fiscal Q1 revenue rose 7% yr/yr, beating analyst expectations

  • Adjusted EBITDA for fiscal Q1 beat analyst expectations but declined 6% yr/yr

  • Net income for fiscal Q1 fell sharply from prior year, with margin narrowing to 16%


Outlook

  • Doximity sees Q2 revenue between $170 mln and $171 mln

  • Company expects Q2 adjusted EBITDA between $80.5 mln and $81.5 mln

  • Doximity updates FY27 revenue guidance to $671 mln–$681 mln


Result Drivers

  • USER ENGAGEMENT - Co reported record platform engagement and more than 30% yr/yr growth in workflow active prescribers

  • AI FEATURES - Co highlighted increased usage of AI-powered clinical tools, including top performance of its clinical AI assistant in a benchmark


Company press release: ID:nBw5Dny8Fa


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Revenue

Beat

$156.62 mln

$151.73 mln (18 Analysts)

Q1 Net Income

$24.32 mln

Q1 Adjusted EBITDA

Beat

$74.8 mln

$69.56 mln (18 Analysts)


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 9 "strong buy" or "buy", 12 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the software peer group is "buy"

  • Wall Street's median 12-month price target for Doximity, Inc. is $23.50, about 8.6% above its August 5 closing price of $21.63

  • The stock recently traded at 15 times the next 12-month earnings vs. a P/E of 15 three months ago


Reuters Recommended Reads

  • Aug 4 - Hinge Health Q2 revenue jumps 53%, beats estimates

  • Aug 4 - Amwell Q2 revenue falls, co lifts low end of FY guidance

  • Aug 5 - GoodRx Q2 revenue beats estimates; raises 2026 outlook


For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.


(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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