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

Kanati Mud Hog M/T 295/70R17 118/115Q Mud Terrain Light Truck Tires

⚡ Price Comparison Summary:

Weekly updated prices from top retailers, the best available price for the Kanati Mud Hog M/T 295/70R17 118/115Q Mud Terrain Light Truck Tires is $1,304.99 at SimpleTire. You can also check Amazon for alternative deals and availability.

$1,304.99

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

Compare Best Prices

SimpleTire
$1,304.99
Amazon
$ ???
SKU: df2d05d197a5 Categories: , Brand:

Unleash the beast with the Kanati Mud Hog M/T 295/70R17 118/115Q, a purpose-built mud terrain light truck tire engineered to dominate the most challenging off-road conditions. This tire is the ultimate choice for truck and SUV owners who demand uncompromising traction and rugged durability when navigating deep mud, loose soil, and rocky trails.

Its aggressive, self-cleaning tread pattern ensures exceptional grip in wet and dry off-road scenarios, while reinforced sidewalls enhance handling precision and cornering stability under extreme loads. Experience confident control whether you’re climbing obstacles or powering through slop.

The Kanati Mud Hog M/T boasts an extended tread life thanks to its robust construction and specialized rubber compound, providing remarkable durability against cuts and chips. This tire is a true year-round off-road performer, ready for any adventure.

Despite its aggressive nature, it offers a surprisingly manageable ride with acceptable road noise for a mud terrain tire.

Key Features & Specifications

  • Load Index: 118/115 (3086 lbs / 2680 lbs)
  • Speed Rating: Q (Up to 100 mph)
  • Season Type: All-Season (Mud Terrain)
  • Tread Pattern: Aggressive, Self-Cleaning Mud Terrain
  • Tire Type: Light Truck Radial

Equip your rig with the Kanati Mud Hog M/T and conquer any terrain with confidence.

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