Alliance (533) 16.9-28 Industrial /Earth Moving Bias – R-4 Tires
⚡ Price Comparison Summary:
Weekly updated prices from top retailers, the best available price for the Alliance (533) 16.9-28 Industrial /Earth Moving Bias - R-4 Tires is $1,010.99 at SimpleTire. You can also check Amazon for alternative deals and availability.$805.99
Unleash formidable performance on demanding job sites with the Alliance (533) 16.9-28 Industrial / Earth Moving Bias R-4 tire. Engineered for heavy-duty applications, this robust tire is the quintessential choice for backhoes, loaders, and various industrial equipment requiring exceptional traction and stability across varied terrains, from muddy construction sites to paved industrial yards.
The innovative R-4 tread pattern provides outstanding wet and dry grip, ensuring your equipment maintains control and efficiency even in challenging conditions. Its superior design contributes to enhanced handling responsiveness and impressive cornering stability, giving operators the confidence to maneuver heavy machinery with precision and safety.
Built with a durable bias ply construction, the Alliance 533 is designed for extended tread life and exceptional resistance to cuts, punctures, and abrasions common in harsh work environments. This tire is a dependable workhorse throughout all seasons, consistently delivering unwavering performance.
Despite its industrial strength, the tire also offers a remarkably stable and comfortable ride, minimizing operator fatigue over long shifts.
Key Features & Specifications
- Load Index: (Specific value not provided, would be derived from full product data)
- Speed Rating: (Specific value not provided, would be derived from full product data)
- Season Type: All-Season Industrial
- Tread Pattern: R-4 Deep Lug
- Construction Type: Bias Ply
Invest in the Alliance (533) 16.9-28 and experience unparalleled durability and performance for your heavy equipment fleet.
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.