Standard Motor Products Q4 revenue misses, EPS beats estimates

Reuters02-26
Standard Motor Products Q4 revenue misses, EPS beats estimates

Overview

  • Automotive parts maker's Q4 revenue missed analyst expectations

  • Adjusted EPS for Q4 beat analyst expectations

  • Company increased quarterly dividend to $0.33 per share

Outlook

  • Standard Motor Products expects 2026 sales growth in low to mid-single digit range

  • Company anticipates 2026 adjusted EBITDA margin between 11% and 12%

  • Standard Motor Products plans to monitor and adapt to tariff changes in 2026

Result Drivers

  • NORTH AMERICAN AFTERMARKET - Vehicle Control sales increased 3.3% in Q4, driven by favorable customer order patterns and strength in non-discretionary categories

  • TEMPERATURE CONTROL - Sales rose 5.9% in Q4, aided by early and extended seasonal demand and strong brand recognition

  • NISSENS CONTRIBUTION - Nissens added $64.1 mln in Q4 sales, driven by brand awareness and operational excellence

Company press release: ID:nPnb15SGka

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Sales

Miss

$385.09 mln

$389.44 mln (3 Analysts)

Q4 Adjusted EPS

Beat

$0.56

$0.53 (3 Analysts)

Q4 Net Income

$8.10 mln

Q4 Gross Profit

$122.003 mln

Q4 Operating Income

$21.57 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the auto, truck & motorcycle parts peer group is "buy"

  • Wall Street's median 12-month price target for Standard Motor Products Inc is $47.00, about 9% above its February 25 closing price of $43.10

  • The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 9 three months ago

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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