Yokohama Parada Spec-X 285/35R22 XL 106V Street/Sport Truck All-Season Truck Tire
⚡ Price Comparison Summary:
Weekly updated prices from top retailers 3 retailers, the cheapest price for the Yokohama Parada Spec-X 285/35R22 XL 106V Street/Sport Truck All-Season Truck Tire is currently $303.96 at SimpleTire.$303.96
As an expert American tire technician, I’m excited to introduce the Yokohama Parada Spec-X 285/35R22 XL 106V Street/Sport Truck All-Season tire. This isn’t just any tire; it’s meticulously engineered for performance SUVs and sport trucks, delivering a driving experience that truly merges exhilaration with everyday practicality. Designed for those who demand precise handling and responsive feedback, the Parada Spec-X provides exceptional grip on dry pavement, allowing for confident cornering and stable high-speed cruising. Its robust construction is perfect for heavier vehicles, ensuring both durability and a comfortable ride.
You’ll appreciate its true all-season capabilities, offering reliable traction and consistent performance across a variety of conditions, from sunny summer roads to wet highways and even light winter snow. This versatility means less worry about seasonal tire changes, letting you enjoy your vehicle year-round. Plus, with a “V” speed rating, this tire is confidently certified for speeds up to 149 mph (240 km/h), underscoring its high-performance pedigree and readiness for spirited driving.
Key Features
- Optimized tread design for enhanced street and sport truck performance
- Advanced all-season compound for reliable wet, dry, and light snow traction
- XL (Extra Load) rating provides increased load carrying capacity for heavier vehicles
- Excellent high-speed stability and responsive handling characteristics
- Size: 285/35R22
- Load Index: 106 (Max 2094 lbs per tire)
- Speed Rating: V (Up to 149 mph / 240 km/h)
- Service Type: Street/Sport Truck All-Season
- Manufacturer Part Number: 110100219
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.


