Registration
LL00142
Registered
2026
Fuel Type
Gasoline
Tax Band
N/A
Color
grey
Engine Size
N/A
Interior Trim
Cloud/Ebony
Fuel Consumption
N/A
Stock Number
N/A
Bodystyle
SUV
Tax Cost
N/A
Mileage
7,885 miles
Previous Owners
4
Exterior Color
Arroios Grey
Doors
5
Description
This 2026 Land Rover Range Rover Evoque S combines sophisticated styling with practical capability. With just 4,745 miles, this gray beauty delivers impressive efficiency at 20 city and 27 highway MPG, powered by a 2.0L turbocharged engine paired with a 9-speed automatic transmission and AWD. Experience the refined features and premium appointments designed for the discerning buyer.
- Cold Climate Package
- Meridian Sound System with 12 speakers and SiriusXM
- Apple CarPlay & Android Auto with InControl Navigation Pro
- Panoramic power moonroof
- Heated front and rear seats with memory driver seat
- 20" gloss dark grey alloy wheels
- Auto high-beam headlights with power wash and heated windscreen
- Four-wheel independent suspension with electronic stability control
- Dual zone automatic climate control
- Exterior parking camera with rear fog lights
The vehicle has been meticulously inspected to ensure premium condition. This is a Land Rover Approved Certified Pre-Owned vehicle with comprehensive coverage and peace of mind.
Certification benefits include:
- 165 Point Inspection
- Roadside Assistance
- Warranty Deductible: $0
- Transferable Warranty
- Vehicle History
- Up to 1-year/Unlimited Miles or 2-year/100,000 Miles (whichever occurs first) — Vehicle must have minimum one year of coverage at point of sale
Don't miss this exceptional opportunity to own a barely-driven Evoque S with factory warranty protection. Schedule your visit today and discover why this Range Rover stands out.
If the list price of a car is over £40,000 at time of first registration, then there will be an additional rate payable from the second time the car is taxed for up to 5 years. MPG figures are obtained from laboratory testing and intended for comparisons between vehicles. They are unlikely to represent real world efficiency.