Automotive parts retailer O'Reilly's Q2 sales beat, outlook raised

O'Reilly Automotive

29/07/2026 21:40

Overview
Automotive parts retailer's Q2 sales rose 8%, slightly beating analyst expectations
Q2 diluted EPS grew 10% to $0.86; comparable store sales up 6% yr/yr
Company repurchased $1.51 bln in shares during Q2

Outlook
O'Reilly raises full-year 2026 comparable store sales guidance to 4% to 6%
Company expects 2026 revenue between $18.9 bln and $19.2 bln
O'Reilly forecasts 2026 diluted EPS of $3.20 to $3.30

Result Drivers
DUAL MARKET STRATEGY - Co said growth in both professional and DIY customer segments supported Q2 results
CUSTOMER SERVICE AND PARTS AVAILABILITY - Co attributed performance to focus on customer service and parts availability

Company press release: ID:nGNX9w5QnN

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Sales
Slight Beat*
$4.89 bln
$4.86 bln (21 Analysts)
Q2 EPS
 
$0.86
 
Q2 Net Income
 
$715 mln
 
Q2 Comparable Sales Growth
 
6.00%
 
*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 24 "strong buy" or "buy", 6 "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 O'Reilly Automotive Inc is $110.00, about 20.7% above its July 28 closing price of $91.17
The stock recently traded at 26 times the next 12-month earnings vs. a P/E of 28 three months ago

Reuters Recommended Reads
July 29 - Monro Q1 sales fall 4.6%, but slightly beat estimates
July 28 - Asbury Automotive Q2 adjusted EPS beats estimates on used vehicle profitability 
July 29 - Carvana forecasts annual core profit below estimates on supply pressure, shares slump

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.)