Lot 61780416 · AR - LITTLE ROCK
2016 MERCEDES-BENZ C C300
VIN 55SWF4JBXGU098903
Current bid
$60
≈ €56
Archive
The vehicle
- Year 2016
- Make / model MERCEDES-BENZ C
- Trim level C300
- Body type Sedan/Saloon
- Condition CERTIFICATE OF TITLE (P)
- VIN 55SWF4JBXGU098903
- Exterior color white
- Odometer 202,441 mi (325,796 km)
- Listing valid until 2026-09-16 20:00
Notes
Този Mercedes-Benz C-Class от 2016 г. е стилен седан с пробег от 325 796 км.
Умерени щети по предния калник и броня.
🚗 2016 Mercedes-Benz C-Class седан
📋 Основни характеристики:
пробег: 325 796 км
двигател: 2.0 L, 4 цилиндъра, 184 к.с.
задвижване: задно
ℹ️ Допълнителна информация:
каросерия: седан
цвят: бял
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Damage assessment
Body zones
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Underbody
Condition assessment
The auction record lists the vehicle’s condition as “CERTIFICATE OF TITLE (P)” and identifies the primary damage as “FRONT END.” Stage 1 reports that the localized scraping and chipped paint on the front fender, together with scuffing on the adjacent bumper corner, supports the FRONT END classification. However, no broader front-end damage was visibly confirmed, and the certificate title condition could not be confirmed from the photos.
Visible exterior damage includes moderate scraping and paint chipping on the front fender near the headlamp and wheel opening, with darker material showing beneath the paint. The adjacent front bumper corner has minor surface scuffing and paint abrasion.
The interior shows significant wear. The leather on the driver’s seat lower cushion has extensive tearing and abrasion, with lighter-colored underlying material exposed. The center-console armrest covering also has extensive cracking and peeling.
According to the VIN decoding, this is a 2016 Mercedes-Benz C-Class C300 sedan, manufactured in the United States. It is identified with a 2.0-liter, four-cylinder gasoline engine and front and side airbags for the first and second rows. Drive type and transmission details were not provided. A physical inspection is recommended to assess any damage or mechanical issues not visible in the available findings, as well as the condition of the title documentation.
Generated from auction photos by AI vision, then written up by an AI model. Findings are qualitative, not a certified inspection.