❄️ Pirelli Scorpion Winter 2 325/30R23 XL 109W Light Truck/SUV Performance Snow Truck Tire
⚡ Price Comparison Summary:
Weekly updated prices from top retailers 2 retailers, the best price for the Pirelli Scorpion Winter 2 325/30R23 XL 109W Light Truck/SUV Performance Snow Truck Tire is $791.01, currently matched by Tire Rack and SimpleTire.$791.01
For drivers of high-performance light trucks and SUVs who refuse to compromise on safety and capability when winter arrives, the Pirelli Scorpion Winter 2 325/30R23 XL 109W is your ultimate solution. Engineered by Pirelli, a leader in performance tires, this dedicated winter tire delivers exceptional grip and confident handling across snow, ice, and cold, wet pavement. Its advanced tread compound remains pliable in freezing temperatures, ensuring maximum road contact and superior braking performance when you need it most. The robust XL (Extra Load) construction provides the durability and load-carrying capacity required for larger vehicles, while its impressive 109W speed rating means you maintain high-speed stability and control even in challenging winter conditions. Trust the Pirelli Scorpion Winter 2 to transform your winter driving experience, offering peace of mind and exhilarating performance.
Features
- Optimized directional tread pattern for superior snow and slush evacuation.
- Innovative cold-weather compound technology ensures flexibility and grip in extreme temperatures.
- Enhanced siping density provides exceptional biting edges on ice and packed snow.
- Robust XL (Extra Load) construction for increased load capacity and durability.
- Engineered for high-performance SUVs and light trucks requiring dedicated winter traction.
Technical Specifications
- Tire Name: Pirelli Scorpion Winter 2
- Size: 325/30R23
- Load Index: 109 (2271 lbs per tire)
- Speed Rating: W (168 mph / 270 km/h)
- Type: Light Truck/SUV Performance Snow Truck Tire
- Special Feature: XL (Extra Load)
- Manufacturer Part Number: 4267300
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.


