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

🌦️ Atlas Paraller H/T 225/75R16 115/112S All Season Light Truck Tires

⚡ Price Comparison Summary:

Weekly updated prices from top retailers, the best available price for the Atlas Paraller H/T 225/75R16 115/112S All Season Light Truck Tires is $97.96 at SimpleTire. You can also check Amazon for alternative deals and availability.

$97.96

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

Compare Best Prices

SimpleTire
$97.96
Amazon
$ ???
SKU: 221012682 Categories: , Brand:

Equip your light truck or SUV with the Atlas Paraller H/T, a premium all-season highway terrain tire engineered for versatility and dependable performance. This tire is the ideal choice for drivers seeking a smooth, quiet ride combined with robust capability for daily commutes and light-duty hauling.

The Paraller H/T delivers confident handling and excellent grip across various conditions, thanks to its advanced tread compound and optimized design. Experience reliable traction on both dry and wet pavement, providing enhanced cornering stability and responsive steering for a controlled driving experience.

Designed for longevity, the durable construction and specialized tread pattern contribute to extended tread life, offering exceptional value over thousands of miles. Its all-season capability ensures consistent performance throughout the year, from sunny highways to light wintry conditions.

Enjoy a noticeably comfortable and quiet ride, minimizing road noise for a more pleasant journey on every adventure.

Key Features & Specifications

  • Load Index: 115/112 (Single/Dual)
  • Speed Rating: S
  • Season Type: All Season
  • Tread Pattern: Highway Terrain
  • Tire Size: 225/75R16

Upgrade your vehicle’s performance and comfort; choose the Atlas Paraller H/T for your next tire replacement.

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