🌦️ Sumitomo HTR Enhance LX2 215/60R16 95V Grand Touring All-Season Tire ENL46
⚡ Price Comparison Summary:
Weekly updated prices from top retailers 3 retailers, the cheapest price for the Sumitomo HTR Enhance LX2 215/60R16 95V Grand Touring All-Season Tire ENL46 is currently $109.23 at SimpleTire.$109.23
Use code TSM10 at SimpleTire checkout. ⏱️ Limited Time Offer: Valid now through July 6th!
Looking for a tire that delivers a premium driving experience year-round? The Sumitomo HTR Enhance LX2 215/60R16 95V Grand Touring All-Season Tire, model ENL46, is engineered to do just that. As an expert, I can tell you this tire is a superb choice for drivers seeking a sophisticated blend of comfort, confident handling, and long-lasting performance across diverse weather conditions. It’s designed to elevate your daily commute and long road trips alike.
The HTR Enhance LX2 truly lives up to its ‘Grand Touring’ name, providing a remarkably quiet and smooth ride, which is crucial for driver fatigue reduction. Its advanced tread compound and optimized pattern ensure exceptional dry grip and dependable wet traction, giving you peace of mind when the roads get slick. With a 95V speed rating, you’re looking at a tire capable of safely performing at speeds up to 149 mph, affirming its robust construction and performance capabilities for most passenger vehicles. This all-season performer is ready for everything from summer sun to light winter snow.
Key Features
- Optimized tread design for quiet, comfortable touring.
- Advanced all-season compound for reliable wet and dry traction.
- Enhanced handling stability and responsive steering.
- Long-lasting tread life for extended value.
- Confident performance in light snow conditions.
Technical Specifications
- Tire Name: Sumitomo HTR Enhance LX2
- Size: 215/60R16
- Load Index: 95 (Max Load: 1521 lbs)
- Speed Rating: V (Up to 149 mph / 240 km/h)
- Service Description: 95V
- Type: Grand Touring All-Season
- Manufacturer Part Number: ENL46
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.


