Fortive Q3 revenue up 2.3%, beats estimates

Reuters
2025/10/29
Fortive Q3 revenue up 2.3%, beats estimates

Overview

  • Fortive Q3 revenue rises 2.3% yr/yr, beating analyst expectations

  • Adjusted EPS for Q3 beats analyst estimates, rising 15.3% yr/yr

  • Company executed $1 bln in share repurchases, representing ~6% of shares outstanding

Outlook

  • Fortive raises full-year 2025 adjusted EPS guidance to $2.63-$2.67

  • Company cites strong Q3 performance for guidance increase

  • Fortive confident in financial framework, aims for shareholder value

Result Drivers

  • FORTIVE ACCELERATED STRATEGY - Co attributes strong Q3 results to execution of its Fortive Accelerated strategy, focusing on profitable growth and disciplined capital allocation

  • SHARE REPURCHASES - Co executed $1 bln in share repurchases, representing ~6% of diluted shares outstanding, as part of capital allocation strategy

  • CORE REVENUE GROWTH - Co reports core revenue growth of 1.9% yr/yr, driven by performance in Intelligent Operating Solutions and Advanced Healthcare Solutions segments

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$1.03 bln

$1.01 bln (13 Analysts)

Q3 Adjusted EPS

Beat

$0.68

$0.57 (13 Analysts)

Q3 EPS

$0.35

Q3 Net Income

$117 mln

Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 4 "strong buy" or "buy", 16 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the industrial machinery & equipment peer group is "buy."

  • Wall Street's median 12-month price target for Fortive Corp is $55.50, about 11.4% above its October 28 closing price of $49.16

  • The stock recently traded at 18 times the next 12-month earnings vs. a P/E of 17 three months ago

Press Release: ID:nBw3YZWhqa

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