HubSpot Q3 revenue beats estimates driven by subscription growth

By Reuters News


Overview

  • Customer platform software firm's Q3 revenue rose 17%, beating analyst expectations

  • Adjusted EBIT for Q3 beat analyst expectations

  • Company repurchased $237.2 mln of its common stock during the quarter


Outlook

  • HubSpot expects Q4 revenue between $945 mln and $947 mln, up 12% year over year

  • Company sees Q4 non-GAAP net income per share of $3.85 to $3.87

  • HubSpot forecasts full-year 2026 revenue of $3.685 bln to $3.687 bln, up 18% year over year


Result Drivers

  • SUBSCRIPTION REVENUE - Subscription revenue grew 18% in Q3, supporting overall revenue growth

  • CUSTOMER BASE EXPANSION - Number of customers increased 12% year-over-year to 311,704

  • HIGHER REVENUE PER CUSTOMER - Average subscription revenue per customer rose 4% in Q3


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$947.57 mln

$924.78 mln (27 Analysts)

Q3 Adjusted EBIT

Beat

$214.20 mln

$187.86 mln (27 Analysts)

Q3 Adjusted EBIT Margin

22.60%

Q3 Gross Profit

$782.89 mln


Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 12 "strong buy" or "buy", 24 "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 HubSpot, Inc. is $259.22, about 14.6% above its November 3 closing price of $226.17

  • The stock recently traded at 14 times the next 12-month earnings vs. a P/E of 16 three months ago


Reuters Recommended Reads

  • Nov 3 - Sprout Social Q3 revenue rises 8% on larger customer cohort

  • Nov 4 - Datadog beats Q3 revenue, profit estimates

  • Nov 3 - Varonis Q3 revenue rises 17%, beats analyst expectations


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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