Lot 45608385 · Gulf Coast
2018 MERCEDES-BENZ GLC 300 GLC300
VIN WDC0G4JBXJV037249
Price
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The vehicle
- Year 2018
- Make / model MERCEDES-BENZ GLC 300
- Trim level GLC300
- Body type Sport Utility Vehicle [SUV]/Multipurpose Vehicle [MPV]
- Condition Salvage
- VIN WDC0G4JBXJV037249
- Drive type 4X2 Drive
- Transmission Automatic · 9-ст.
- Horsepower 241 к.с.
- Exterior color Black
- Odometer 125,416 mi (201,837 km)
- Listing valid until 2026-10-02 17:30
Notes
Ето един стилен и мощен Mercedes-Benz GLC 300 от 2018 година, готов за новия си собственик.
Стартира и се движи.
🚗 Mercedes-Benz GLC 300, 2018 г.
📋 Основни характеристики:
пробег: 201 837 км
двигател: 2.0 L, 4 цилиндъра, 241 к.с.
задвижване: задно предаване
ℹ️ Допълнителна информация:
скоростна кутия: автоматична, 9 скорости
каросерия: джип
цвят: черен
ключове: налични
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Damage assessment
Body zones
No AI damage assessment yet for this lot.
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Underbody
Condition assessment
The auction lists “Left Side” as the primary damage. Stage 1 reported that the available photos do not show clear collision damage on the left side and that this claim is not supported by the available visual evidence.
No specific vehicle damage findings were provided for this 2018 Mercedes-Benz GLC 300.
VIN decoding identifies this vehicle as a Mercedes-Benz GLC-Class SUV with a 2.0-liter turbocharged gasoline four-cylinder M274 engine, automatic nine-speed transmission, and front and side airbags. The vehicle was manufactured in Finland.
Official NHTSA recall records include multiple campaigns for 2018 GLC 300 vehicles, involving rear-seat belt latch accessibility, the driver airbag inflator and steering-component grounding, panoramic roof bonding, passenger airbag status display, emergency-call system software or activation, and—on vehicles equipped with the relevant lighting—front turn-signal color. Some roof-panel recalls apply only to vehicles that underwent a prior repair. Recall completion should be verified by VIN with Mercedes-Benz or an authorized dealer before purchase.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.