Lot 58962956 · TX - FT. WORTH
2021 MERCEDES-BENZ GLC GLC300
VIN W1N0G8DB9MV262834
Price
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The vehicle
- Year 2021
- Make / model MERCEDES-BENZ GLC
- Trim level GLC300
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition SALVAGE VEHICLE TITLE
- VIN W1N0G8DB9MV262834
- Transmission Automatic · 9-ст.
- Engine GLC300 2wd ['20-'22] (2.0-liter turbocharged GDI M264 I4)
- Steering location Left-Hand Drive (LHD)
- Exterior color white
- Odometer 63,169 mi (101,660 km)
- Listing valid until още не е насрочена
Notes
Този Mercedes-Benz GLC от 2021 г. е чудесен избор за всеки, който търси стилен и надежден SUV.
Тежко увреждане в предната част.
🚗 2021 Mercedes-Benz GLC джип
📋 Основни характеристики:
пробег в км: 101660
каросерия: джип
цвят: бял
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Damage assessment
Body zones
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Underbody
Condition assessment
The vehicle is listed with a salvage vehicle title, and the auction’s primary-damage classification is FRONT END. Stage 1 reports that the visible evidence supports the stated front-end damage classification through the extensive missing and damaged front-end components. The salvage-title status cannot be confirmed from the photographs.
The front end is extensively incomplete. The left-front fender, front bumper cover, grille, left headlamp, lower front trim, wheel-arch liner, and other fascia components are missing. This leaves the bumper reinforcement, radiator area, wiring, mounting points, wheel-well structure, and other internal components exposed. The hood has a raised, uneven front edge with deformation at the left-front corner.
Removed bumper, grille-related trim, wheel-well panels, and additional front-end pieces are visible on the ground in front of the vehicle. The available findings do not establish the condition of concealed structural, cooling, electrical, steering, suspension, or mechanical components, so these areas require thorough physical inspection and testing before repair or purchase.
A minor dark scuff is also visible on the lower rear bumper trim near the center.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.