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

Petlas TA 110 440-24 128A8 Farm Tires

⚡ Price Comparison Summary:

Weekly updated prices from top retailers, the best available price for the Petlas TA 110 440-24 128A8 Farm Tires is $794.99 at SimpleTire. You can also check Amazon for alternative deals and availability.

$794.99

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

Compare Best Prices

SimpleTire
$794.99
Amazon
$ ???
SKU: P17220 Category: Brand:

Unleash the full potential of your agricultural machinery with the Petlas TA 110 440-24 128A8 Farm Tire (P17220). Engineered specifically for demanding farm applications, this robust tire delivers exceptional performance and reliability across various terrains, making it the ideal choice for tractors and other implements requiring superior traction.

The TA 110 boasts a carefully crafted tread design that ensures outstanding grip in both wet and dry conditions, minimizing slippage and maximizing productivity. Its sturdy construction contributes to excellent handling and cornering stability, allowing for precise control even when carrying heavy loads or navigating uneven fields.

Durability is paramount with the Petlas TA 110, featuring a compound and construction designed for extended tread life and resistance to cuts and punctures. This all-season farm tire performs consistently through varying weather, ensuring your operations can continue uninterrupted.

Experience a surprisingly comfortable ride with reduced road noise, minimizing driver fatigue during long working hours.

Key Features & Specifications

  • Load Index: 128 (Max Load 1800 kg / 3968 lbs)
  • Speed Rating: A8 (Max Speed 40 km/h / 25 mph)
  • Season Type: All-Season Farm Tire
  • Tread Pattern: Aggressive Lug Design for Maximum Traction
  • Size: 440-24

Invest in the Petlas TA 110 today and elevate your farm’s efficiency and performance.

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