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

🏔️ Multi-Mile Wild Country XTX AT4S 275/65R18 116T All Terrain Light Truck Tires

⚡ Price Comparison Summary:

Weekly updated prices from top retailers, the best available price for the Multi-Mile Wild Country XTX AT4S 275/65R18 116T All Terrain Light Truck Tires is $188.96 at SimpleTire. You can also check Amazon for alternative deals and availability.

$178.96

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

Compare Best Prices

SimpleTire
$188.96
Amazon
$ ???
SKU: ed77915db49c Categories: , Brand:

Unleash your truck’s true potential with the Multi-Mile Wild Country XTX AT4S 275/65R18 116T All-Terrain Light Truck Tire. Engineered for adventurous drivers, this tire excels across diverse landscapes, from rugged off-road trails to smooth highway cruises.

Experience confident performance with exceptional wet and dry grip, ensuring reliable traction in varied weather conditions. Its optimized tread design enhances handling responsiveness and cornering stability, providing a controlled and secure driving experience on and off the pavement.

Built for the long haul, the Wild Country XTX AT4S offers impressive tread life and durability, ready to tackle demanding challenges season after season. As an AT4S tire, it delivers reliable all-season performance, including capable traction in light snow conditions.

Despite its robust capabilities, this tire maintains a surprisingly comfortable ride and manages road noise effectively for an all-terrain.

Key Features & Specifications

  • Load Index: 116 (2756 lbs per tire)
  • Speed Rating: T (118 mph)
  • Season Type: All-Terrain All-Season (AT4S)
  • Tread Pattern: Aggressive, Optimized All-Terrain Design
  • Tire Type: Light Truck (LT)

Equip your truck with the Multi-Mile Wild Country XTX AT4S and confidently conquer any road ahead.

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