🇺🇸4TH OF JULY EXCLUSIVE: GET 10% OFF SELECT BRANDS! USE CODE: TSM10
CLAIM DEAL NOW ➔

🏔️ Dextero 245/75R16 109T All Terrain DAT1 245/75R16 109T All Terrain Passenger Tires

⚡ Price Comparison Summary:

Weekly updated prices from top retailers, the best available price for the Dextero 245/75R16 109T All Terrain DAT1 245/75R16 109T All Terrain Passenger Tires is $169.96 at SimpleTire. You can also check Amazon for alternative deals and availability.

$169.96

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

Compare Best Prices

SimpleTire
$169.96
Amazon
$ ???
SKU: 100UAY604 Categories: , Brand:

“`html

Unleash your vehicle’s full potential with the Dextero 245/75R16 109T All Terrain DAT1 tire. Engineered for adventurous drivers, this all-terrain passenger tire offers robust performance and versatility, making it perfect for light trucks and SUVs frequently navigating both paved roads and challenging off-road conditions.

Experience confident control across various surfaces thanks to the DAT1’s optimized tread design, delivering exceptional wet and dry grip. Its sturdy construction enhances handling responsiveness and promotes stable cornering, ensuring a secure and predictable driving experience whether on highways or unpaved trails.

The Dextero DAT1 boasts a durable tread compound designed for extended tread life, providing excellent value and reliability throughout the seasons. This tire is built to withstand varied environments, offering dependable performance year-round.

Despite its rugged capabilities, the DAT1 also prioritizes a comfortable ride with minimized road noise for an enjoyable journey.

Key Features & Specifications

  • Load Index: 109
  • Speed Rating: T
  • Season Type: All Terrain
  • Tread Pattern: Aggressive All-Terrain
  • Tire Type: Passenger Light Truck/SUV

Equip your vehicle with the Dextero DAT1 for unparalleled all-terrain performance and lasting durability.

“`

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