Rush Enterprises Q3 revenue beats analyst estimates on higher truck deliveries

Overview

• US commercial vehicle dealer's Q3 revenue rose, beating analyst expectations

• Company attributes revenue growth to higher new truck deliveries and aftermarket activity

• Company declared quarterly dividend of $0.14 per share

Outlook

• Company expects aftermarket demand to gradually improve through year-end, following normal seasonal patterns

• Rush Enterprises anticipates strong new commercial vehicle sales in Q4 and early 2027, but notes supply constraints may affect delivery timing

• Company expects used truck demand and rental demand to remain strong through Q4 and into early 2027

Result Drivers

• NEW TRUCK DELIVERIES - Co said higher deliveries of new Class 8 and medium-duty trucks drove revenue and earnings growth

• AFTERMARKET DEMAND - Co said improved demand for parts, service and collision center offerings contributed to gross profit growth, especially among energy and wholesale customers

• MARKET SHARE GAINS - Co said Class 8 sales outpaced industry growth, driven by over-the-road customers replacing aging equipment amid stronger freight rates

Company press release:

Key Details

Analyst Coverage

• The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 3 "strong buy" or "buy", 1 "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 Rush Enterprises, Inc. is $56.00, about 23.5% above its October 26 closing price of $45.36

• The stock recently traded at 16 times the next 12-month earnings vs. a P/E of 18 three months ago

Reuters Recommended Reads

• Oct 27 - Truck maker Paccar Q3 revenue beats on parts, financial services growth

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.)