AutoNation Q3 revenue slightly beats on customer pay growth

AutoNation

30/10/2026 11:08

Overview
U.S. auto retailer's Q3 revenue was flat yr/yr, slightly beating analyst expectations
Adjusted EPS for Q3 grew yr/yr and beat analyst expectations
Company approved additional $1 bln for share repurchases

Outlook
Company did not provide specific financial guidance for the current qtr or full yr
Company says current environment favors capital allocation to share repurchases

Result Drivers
AFTER-SALES PERFORMANCE - Co said record after-sales gross profit and 6% customer pay growth contributed to results
FINANCE GROWTH - Co reported AutoNation Finance portfolio grew over 40% YoY and profit increased tenfold
CASH GENERATION - Co attributed strong cash flow generation to recurring earnings from after-sales and finance

Company press release: ID:nBw4kqyb8a

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q3 Revenue
Slight Beat*
$7.01 bln
$6.97 bln (9 Analysts)
Q3 Adjusted EPS
Beat
$5.11
$5.08 (11 Analysts)
Q3 EPS
 
$4.87
 
*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 "buy" and the breakdown of recommendations is 11 "strong buy" or "buy", 3 "hold" and no "sell" or "strong sell"
The average consensus recommendation for the auto vehicles, parts & service retailers peer group is "buy"
Wall Street's median 12-month price target for AutoNation, Inc. is $217.50, about 28.4% above its October 29 closing price of $169.34
The stock recently traded at 7 times the next 12-month earnings vs. a P/E of 8 three months ago

Reuters Recommended Reads
Oct 28 - Group 1 Automotive Q3 revenue falls 6.7%, misses estimates
Oct 28 - Penske Q3 revenue tops estimates on used vehicle demand
Oct 29 - Sonic Automotive Q3 revenue hits record but slightly misses estimates

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.)