Продажа 2015 Mercedes-benz Slk-class 1.8L в Fresno CA

2015 MERCEDES-BENZ  - Image 1.
2015 MERCEDES-BENZ  - Image 2.
2015 MERCEDES-BENZ  - Image 3.
2015 MERCEDES-BENZ  - Image 4.
2015 MERCEDES-BENZ  - Image 5.
2015 MERCEDES-BENZ  - Image 6.
2015 MERCEDES-BENZ  - Image 7.
2015 MERCEDES-BENZ  - Image 8.
2015 MERCEDES-BENZ  - Image 9.
2015 MERCEDES-BENZ  - Image 10.
Sold
This page will be deleted: 28.12.2024
View similar vehicles

Similar Vehicles for Sale Mercedes-benz

Информация о торгах

Sale Location
Vehicle Location
1805 N Lafayette Ave, Fresno, Ca 93705
Дата продажи
Tue Dec 17, 12:30pm (EST)
Last Updated
18.12.2024 00:00

Информация о лоте

ВИН
Номер в очереди
1 Inoperable Digital Dash
Повреждение
Theft
Основной ущерб
Front END
Clear California
Stationary
Ключи
Missing
Airbags
Intact
Actual Cash Value
$33,136

Vehicle History

Sales Records
Odometer Reading
Previous Sales
Ownership History
Safety Recalls
Accidents
Get Vehicle History Report

Vehicle Description

Тип лота
Automobile
Год
2015
Марка
MERCEDES-BENZ
Модель
SLK-Class
Тип кузова
Roadster
Exterior Color
White
Двигатель
1.8L
Коробка передач
Automatic
Тип топлива
Gasoline
Цилиндра(ов)
4
Система пассивной безопсности
Driver Air Bag; Passenger Air Bag; Front Side Air Bag
Класс лота
Convertible
Произведен в
Germany

WARNING: Operating, servicing and maintaining a passenger vehicle or off-highway motor vehicle can expose you to chemicals including engine exhaust, carbon monoxide, phthalates, and lead, which are known to the State of California to cause cancer and birth defects or other reproductive harm. To minimize exposure, avoid breathing exhaust, do not idle the engine except as necessary, service your vehicle in a well-ventilated area and wear gloves or wash your hands frequently when servicing your vehicle. For more information go to www.P65Warnings.ca.gov/passenger-vehicle.

Vehicle Sale Information

Sale Location
Vehicle Location
1805 N Lafayette Ave, Fresno, Ca 93705
Дата продажи
Tue Dec 17, 12:30pm (EST)
Last Updated
18.12.2024 00:00

We use cookies to analyse & personalise content