Lear Q4 revenue, adj EPS beat estimates on new business growth

Reuters
Feb 04
Lear Q4 revenue, adj EPS beat estimates on new business growth

Overview

  • Automotive technology leader's Q4 revenue rose 5%, beating analyst expectations

  • Adjusted EPS for Q4 beat analyst expectations

  • Company awarded major seat assembly program from American automaker

Outlook

  • Lear projects 2026 net sales between $23.21 bln and $24.01 bln

  • Company expects 2026 core operating earnings of $1.03 bln to $1.2 bln

  • Lear anticipates 2026 free cash flow between $550 mln and $650 mln

Result Drivers

  • NEW BUSINESS ADDITIONS - Lear attributed revenue growth to new business in both Seating and E-Systems segments

  • SEATING AWARDS - Lear awarded complete seat assembly on major truck program from American automaker, largest conquest award in history

  • E-SYSTEMS AWARDS - Lear secured $1.4 bln of E-Systems business awards, largest annual total in over a decade

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Sales

Beat

$5.99 bln

$5.79 bln (10 Analysts)

Q4 Adjusted EPS

Beat

$3.41

$2.80 (12 Analysts)

Q4 EPS

$1.58

Q4 Adjusted Net Income

Beat

$179.20 mln

$145.38 mln (7 Analysts)

Q4 Net Income

$82.70 mln

Q4 Core Operating Earnings

$258.60 mln

Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 5 "strong buy" or "buy", 10 "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 Lear Corp is $125.00, about 4.5% above its February 3 closing price of $119.60

  • The stock recently traded at 8 times the next 12-month earnings vs. a P/E of 8 three months ago

Press Release: ID:nPn7HvkJpa

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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