Industrial technology firm Veralto's Q3 sales beat estimates on strong commercial performance

Reuters
2025/10/29
Industrial technology firm Veralto's Q3 sales beat estimates on strong commercial performance

Overview

  • Veralto Q3 sales rise 6.9% yr/yr, beating analyst expectations

  • Adjusted EPS for Q3 beats consensus, reflecting strong operational performance

  • Company raises full-year adjusted EPS guidance, indicating confidence in growth

Outlook

  • Veralto anticipates Q4 non-GAAP core sales growth of low-single-digits

  • Veralto expects Q4 adjusted EPS between $0.95 and $0.98

  • Veralto raises full-year adjusted EPS guidance to $3.82-$3.85

Result Drivers

  • COMMERCIAL PERFORMANCE - Strong commercial execution and disciplined operating practices drove mid-single digit core sales growth

  • CUSTOMER DEMAND - Demand across key end markets was as expected, supporting sales growth

  • FINANCIAL FLEXIBILITY - Strengthened financial position allows for investment in growth opportunities

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

Beat

$1.40 bln

$1.39 bln (13 Analysts)

Q3 Adjusted EPS

Beat

$0.99

$0.94 (12 Analysts)

Q3 EPS

$0.95

Q3 Adjusted Net Income

Beat

$247 mln

$236.95 mln (11 Analysts)

Q3 Net Income

$239 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 11 "strong buy" or "buy", 9 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the environmental services & equipment peer group is "buy"

  • Wall Street's median 12-month price target for Veralto Corp is $119.00, about 12.5% above its October 27 closing price of $104.12

  • The stock recently traded at 26 times the next 12-month earnings vs. a P/E of 26 three months ago

Press Release: ID:nPnb30WzTa

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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