HubSpot beats Q4 revenue estimates on subscription strength

Reuters
02/12
<a href="https://laohu8.com/S/HUBS">HubSpot</a> beats Q4 revenue estimates on subscription strength

Overview

  • Customer platform's Q4 revenue grew 20%, beating analyst expectations

  • Adjusted net income and EBIT for Q4 beat analyst estimates

  • Company had announced $1 bln share repurchase program

Outlook

  • HubSpot expects Q1 2026 revenue between $862 mln and $863 mln

  • Company forecasts FY 2026 revenue between $3.69 bln and $3.70 bln

  • HubSpot anticipates FY 2026 non-GAAP net income per share $12.38 to $12.46

Result Drivers

  • SUBSCRIPTION REVENUE - Subscription revenue increased by 21% in Q4 2025, contributing significantly to overall revenue growth

  • AI ADOPTION - AI tools like Breeze Customer Agent and Breeze Prospecting Agent drove customer outcomes, enhancing growth

  • UPMARKET EXPANSION - Strong momentum in upmarket business as large companies sought HubSpot for AI innovation and cost reduction

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Beat

$846.75 mln

$830.54 mln (29 Analysts)

Q4 Adjusted Net Income

Beat

$162.50 mln

$158.66 mln (26 Analysts)

Q4 Adjusted EBIT

Beat

$191 mln

$183.81 mln (28 Analysts)

Q4 Adjusted EBIT Margin

22.60%

Q4 Gross Profit

$709.05 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 32 "strong buy" or "buy", 4 "hold" and no "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 $515.00, about 122% above its February 10 closing price of $231.95

  • The stock recently traded at 20 times the next 12-month earnings vs. a P/E of 44 three months ago

Press Release: ID:nBw6ppf6ja

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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