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General Motors' Q3 revenue, adj EPS beat on North America performance

General Motors' Q3 revenue, adj EPS beat on North America performance


Overview

  • US automaker's Q3 revenue rose 2.9% yr/yr, beating analyst expectations

  • Q3 adjusted EPS beat analyst expectations, rising 32% yr/yr


Outlook

  • GM expects 2026 net income of $8.9 bln to $9.5 bln

  • Company raises 2026 adjusted automotive free cash flow forecast to $11.5 bln-$12.5 bln

  • GM now sees 2026 EBIT-adjusted at $14.5 bln-$15.5 bln


Result Drivers

  • NORTH AMERICA PROFITABILITY - GM reported higher EBIT-adjusted in North America, up 43% yr/yr

  • OPERATING CASH FLOW - Automotive operating cash flow increased 33% yr/yr

  • FREE CASH FLOW - Adjusted automotive free cash flow rose 40% yr/yr


Company press release: ID:nPn3KbLbYa


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$50.02 bln

$48.70 bln (15 Analysts)

Q3 Adjusted EPS

Beat

$3.70

$3.63 (15 Analysts)

Q3 EPS

$3.73

Q3 Adjusted EBIT

Miss

$4.11 bln

$4.24 bln (12 Analysts)


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 22 "strong buy" or "buy", 5 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the auto & truck manufacturers peer group is "buy"

  • Wall Street's median 12-month price target for General Motors Co is $102.00, about 23.3% above its October 19 closing price of $82.75

  • The stock recently traded at 6 times the next 12-month earnings vs. a P/E of 6 three months ago


Reuters Recommended Reads

  • Oct 20 - GM's core profit rises 22% on strength of pickup-truck business

  • Oct 19 - Europe EV sales rose 70% in September, almost 30% of market share

  • Oct 20 - Volkswagen bet on Xpeng to save its China business. It's not going to plan


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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