Truck dealership firm Rush Enterprises' Q3 revenue beats estimates on resilience in aftermarket business

Reuters
Oct 30
Truck dealership firm <a href="https://laohu8.com/S/RUSHA">Rush Enterprises</a>' Q3 revenue beats estimates on resilience in aftermarket business

Overview

  • Rush Enterprises Q3 revenue beats analyst expectations despite challenging market conditions

  • Net income for Q3 2025 decreased compared to Q3 2024

  • Company declares cash dividend of $0.19 per share

Outlook

  • Rush Enterprises expects challenging conditions in new truck sales through early 2026

  • Company anticipates stable aftermarket conditions despite ongoing industry challenges

  • Rush Enterprises sees cautious optimism for truck sales recovery in late 2026

Result Drivers

  • AFTERMARKET RESILIENCE - Aftermarket products and services accounted for 63.7% of gross profit, with revenues up 1.5% YoY, despite market challenges

  • VOCATIONAL CUSTOMER STABILITY - Demand from vocational customers remained stable, helping offset softness in over-the-road fleet activity

  • LEASING AND RENTAL STRENGTH - Leasing and rental revenue increased by 4.7% YoY, supported by a modernized fleet and disciplined cost management

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$1.90 bln

$1.77 bln (2 Analysts)

Q3 Gross Revenue

$1.88 bln

Q3 EPS

$0.83

Q3 Net Income

$66.70 mln

Q3 Dividend

$0.19

Analyst Coverage

  • The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "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 $60.00, about 16.7% above its October 28 closing price of $49.96

  • The stock recently traded at 13 times the next 12-month earnings vs. a P/E of 14 three months ago

Press Release: ID:nGNX2SbC0C

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(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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