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

Fortune FAR602 225/70R19.5 128/126L Commercial Tires

⚡ Price Comparison Summary:

Weekly updated prices from top retailers, the best available price for the Fortune FAR602 225/70R19.5 128/126L Commercial Tires is $210.96 at SimpleTire. You can also check Amazon for alternative deals and availability.

$189.96

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

Compare Best Prices

SimpleTire
$210.96
Amazon
$ ???
SKU: 2511030602 Category: Brand:

Unleash the full potential of your commercial fleet with the Fortune FAR602 225/70R19.5 128/126L Commercial Tire. Engineered for reliability and efficiency, this heavy-duty workhorse is the ideal choice for regional hauls, delivery trucks, and various commercial applications demanding consistent performance.

Experience superior control and confidence on every journey thanks to the FAR602’s advanced tread design. It delivers exceptional wet and dry grip, ensuring responsive handling and stable cornering even under demanding loads, enhancing overall driver confidence and operational safety.

The Fortune FAR602 is built for the long haul, featuring a robust construction that promotes extended tread life and outstanding durability against common commercial wear and tear. This all-season tire performs reliably across diverse weather conditions, minimizing downtime and maximizing productivity.

Despite its heavy-duty nature, the FAR602 maintains a surprisingly comfortable ride with reduced road noise for improved driver experience.

Key Features & Specifications

  • Load Index: 128/126 (2910 lbs / 2755 lbs)
  • Speed Rating: L (75 mph)
  • Season Type: All-Season
  • Tread Pattern: Ribbed for enhanced stability and even wear
  • Tire Type: Commercial Light Truck / Medium-Duty Truck

Invest in the Fortune FAR602 today and elevate your fleet’s performance and efficiency.

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