🌦️ Toyo Proxes ST III 265/40R22 XL 106W Street/Sport Truck All-Season Truck Tire
⚡ Price Comparison Summary:
Weekly updated prices from top retailers 3 retailers, the best price for the Toyo Proxes ST III 265/40R22 XL 106W Street/Sport Truck All-Season Truck Tire is $263.79, currently matched by Tire Rack and SimpleTire and Tire Agent.$263.79
Elevate your sport truck or SUV’s performance and style with the Toyo Proxes ST III 265/40R22 XL 106W. Engineered for enthusiasts seeking a dynamic driving experience, this all-season truck tire delivers an impressive blend of aggressive looks and responsive handling. Its advanced tread design ensures confident grip and precise steering on dry pavement, transforming every drive into an engaging journey. Whether you’re cruising highways or navigating city streets, the Proxes ST III provides the stability and control you demand from a premium performance tire.
Don’t let changing weather slow you down. As an all-season tire, the Proxes ST III offers reliable traction in various conditions, from scorching summer roads to unexpected light snow, providing year-round versatility. The ‘W’ speed rating signifies its capability to perform at speeds up to 168 mph, highlighting its high-performance credentials and suitability for powerful street and sport trucks. This tire isn’t just about looks; it’s built to perform, offering exceptional wet braking and overall road manners.
Features
- Aggressive, directional tread design for enhanced traction and style.
- Optimized tread compound for superior wet and dry grip.
- Multi-wave sipes reduce irregular wear and improve light snow traction.
- Sport-oriented handling and responsive steering feel.
- Designed for modern street and sport trucks/SUVs.
Technical Specs
- Tire Model: Toyo Proxes ST III
- Size: 265/40R22
- Load Index: 106 (Max load: 2094 lbs per tire)
- Speed Rating: W (Up to 168 mph / 270 km/h)
- Load Range: XL (Extra Load)
- Part Number: 247340
- Type: Street/Sport Truck All-Season
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.


