Linglong KWS 600 315/80 R22.5 158/150L Truck winter tyres

Linglong Truck tyres catalogue online
Free delivery
Linglong KWS 600 315/80 R22.5 158/150 L
315/80 R22.5 158/150L 22PR Dual Branding 154/150M
EAN: 8859291423239
MPN: 211010948
(Please rate this product)
Truck tyres Linglong KWS 600 315/80 R22.5 MPN:R-397678 - Rolling resistance coefficient D
D
Linglong KWS 600 315 80 R22.5 158/150L HGV tyres MPN:211010948 - The best grip A
A
Truck winter tyres 315/80 R22.5 Linglong KWS 600 - Noise emission level 72 DB 72 db
B
Snow grip
Out of Stock
Inform on availability
£ 480,78
(Price per item)
incl. 20% VAT,
excl. delivery costs
Product info
  • Tyre sizes: 315/80 R22.5
  • Speed rating: L = to 75 mph (120 km/h)
  • Load index: 158 = to 4250 kg / 150 = to 3350 kg
  • Season: Winter tyres
  • Type: Truck
  • MPN R-397678: 315/80 R22.5 158/150L 22PR Dual Branding 154/150M

    More
Truck tyres 315/80 R22.5 158/150L 22PR Dual Branding 154/150M
  • Width: 315
  • Height: 80
  • Type: R
  • Diameter: 22.5
  • Alpine Symbol (3PMSF): Yes
  • Load index: 158 = to 4250 kg / 150 = to 3350 kg
  • Speed rating: L = to 75 mph (120 km/h)
  • Type: Truck
  • Season: Truck winter tyres 315/80 R22.5
EU Tyre Label - Linglong KWS 600 315/80 R22.5 158/150L Mud and Snow truck tyres
Rolling resistance coefficient D
The best grip A
Truck winter tyres 315/80 R22.5 Linglong KWS 600 - Noise emission level 72 DB
72 db
b
Snow grip
FAQ: Frequently asked questions
Reviews and Experiences
Product rating

(Please rate this product)

Parameters rating

  • Product cost

    + -
  • Product quality

    + -
  • Packaging quality

    + -
  • Manufacturer

    + -
  • Warranty

    + -
Similar items

Quality pays off! In our online shop you will only find replacement parts from reputable manufacturers and exclusive premium brands. This means best quality, high reliability and excellent durability guarantee on our entire range.

Spares parts Shop
  • Quality warranty

    100%
  • Return and exchange

    14 days
  • Secure payment

    24/7
  • Shipping methods

    • EVRI