Продажа 2014 RAM Promaster 2500 3.6L в Fremont CA

2014 RAM  - Image 1.
2014 RAM  - Image 2.
2014 RAM  - Image 3.
2014 RAM  - Image 4.
2014 RAM  - Image 5.
2014 RAM  - Image 6.
2014 RAM  - Image 7.
2014 RAM  - Image 8.
2014 RAM  - Image 9.
2014 RAM  - Image 10.
2014 RAM  - Image 11.
2014 RAM  - Image 12.
2014 RAM  - Image 13.
2014 RAM  - Image 14.
2014 RAM  - Image 15.
2014 RAM  - Image 16.
No longer available
This page will be deleted: 04.04.2025
View similar vehicles

Similar Vehicles for Sale RAM

Информация о торгах

Sale Location
Vehicle Location
6700 Stevenson Blvd, Fremont, Ca 94538
Дата продажи
Mon Mar 24, 12:30pm (EDT)
Lane/Run/Aisle/Stall
Lane A - Item #55

Информация о лоте

ВИН
Номер в очереди
184244 Actual
Повреждение
Other
Основной ущерб
Roof
Secondary Damage
Unknown
Salvage Ohio
DMV FEE 1420
Starts
Ключи
Present (not guaranteed)
Airbags
Intact
Actual Cash Value
$13,650

Vehicle History

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

Vehicle Description

Тип лота
Automobile
Год
2014
Марка
RAM
Модель
ProMaster 2500
Серия
High Roof
Тип кузова
Cargo VAN
Exterior Color
White
Двигатель
3.6L
Коробка передач
Automatic
Тип топлива
Gasoline
Цилиндра(ов)
6
Класс лота
VAN
Произведен в
Mexico

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
6700 Stevenson Blvd, Fremont, Ca 94538
Дата продажи
Mon Mar 24, 12:30pm (EDT)
Lane/Run/Aisle/Stall
Lane A - Item #55

We use cookies to analyse & personalise content