TIRE SIZE MATTERS EXCLUSIVE: GET 10% OFF SELECT BRANDS! USE CODE: TSM10
CLAIM DEAL NOW ➔

Turnpike D660 295/75R22.5 144/141M Commercial Tires

⚡ Price Comparison Summary:

Weekly updated prices from top retailers, the best available price for the Turnpike D660 295/75R22.5 144/141M Commercial Tires is $430.99 at SimpleTire. You can also check Amazon for alternative deals and availability.

$422.99

Fast & FREE Delivery Direct to your door or to 10,000+ local installers.

Compare Best Prices

SimpleTire
$430.99
Amazon
$ ???
SKU: PT80114 Category: Brand:

The Turnpike D660 295/75R22.5 144/141M Commercial Tire, part number PT80114, is a robust and reliable solution engineered for demanding commercial applications. This tire is specifically designed for long-haul and regional trucking, providing exceptional performance and durability for your fleet.

Experience confident handling and superior grip across various road conditions. The D660 delivers impressive traction in both wet and dry environments, ensuring stable cornering and responsive steering even when fully loaded. Its advanced tread design optimizes contact with the road for enhanced control.

Built for the long haul, the Turnpike D660 boasts an extended tread life and outstanding durability, reducing downtime and operational costs. This all-season tire maintains consistent performance throughout the year, adapting to changing weather without compromise.

Drivers will appreciate the surprisingly comfortable ride and minimized road noise, contributing to a more pleasant journey.

Key Features & Specifications

  • Load Index: 144/141 (Single/Dual)
  • Speed Rating: M (up to 81 mph)
  • Season Type: All-Season
  • Tread Pattern: Deep, multi-directional for enhanced traction
  • Application: Commercial (Long Haul & Regional)

Upgrade your fleet’s performance and efficiency today with the Turnpike D660 from SimpleTire.

✍️ Tire Size Matters Editorial Team
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.