Snap-On Q4 EPS beats estimates

Reuters
Feb 05
Snap-On Q4 EPS beats estimates

Overview

  • Tool maker's Q4 revenue rose 2.8%, meeting analyst expectations

  • Company noted improved customer activity in critical industries

Outlook

  • Snap-on expects 2026 capital expenditures to approximate $100 mln

  • Company anticipates 2026 effective income tax rate between 22% and 23%

  • Snap-on plans to expand customer base in automotive repair and adjacent markets

Result Drivers

  • CRITICAL INDUSTRIES - Sales gains in critical industries and higher activity in power tools and specialty torque operations drove growth in the Commercial & Industrial Group

  • TOOLS GROUP - Snap-On Tools Group saw a decline in U.S. sales, partially offset by higher international sales

  • FINANCIAL SERVICES - Increased financial services revenue and operating earnings contributed to overall performance

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Sales

Meet

$1.23 bln

$1.23 bln (8 Analysts)

Q4 EPS

Beat

$4.94

$4.92 (8 Analysts)

Q4 Net Income

$267 mln

Q4 Pretax Profit

Slight Miss*

$341.90 mln

$343.80 mln (5 Analysts)

Q4 Adjusted Operating Earnings

$265.20 mln

Q4 Gross Profit

$605.50 mln

*Applies to a deviation of less than 1%; not applicable for per-share numbers.

Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 4 "strong buy" or "buy", 6 "hold" and 1 "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 Snap-On Inc is $367.50, about 4% below its February 4 closing price of $382.91

  • The stock recently traded at 19 times the next 12-month earnings vs. a P/E of 17 three months ago

Press Release: ID:nBw3D0BTDa

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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