Продажа 2007 Toyota Tacoma 4.0L в Stockton CA

2007 TOYOTA  - Image 1.
2007 TOYOTA  - Image 2.
2007 TOYOTA  - Image 3.
2007 TOYOTA  - Image 4.
2007 TOYOTA  - Image 5.
2007 TOYOTA  - Image 6.
2007 TOYOTA  - Image 7.
2007 TOYOTA  - Image 8.
2007 TOYOTA  - Image 9.
2007 TOYOTA  - Image 10.

Будущая продажа

Информация о торгах

Sale Location
Vehicle Location
3235 Newton Road, Stockton, Ca 95205
Дата продажи
Thu Dec 31, 07:00pm (EST)
Last Updated
17.10.2024 11:22

Транспортировка по США

Get In touch by contacting us via
E-mail или Онлайн поддержка for an exact quote

Информация о лоте

ВИН
Номер в очереди
205234 Actual
Повреждение
Collision
Основной ущерб
Front & Rear
Secondary Damage
Left & Right
Starts
Ключи
Present (not guaranteed)
Airbags
Intact

Vehicle History

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

Vehicle Description

Тип лота
Automobile
Год
2007
Марка
TOYOTA
Модель
Tacoma
Серия
Double CAB
Тип кузова
Pickup 4 Door
Exterior Color
Blue
Interior Color
Gray
Двигатель
4.0L
Коробка передач
Automatic
Тип топлива
Gasoline
Цилиндра(ов)
6
Система пассивной безопсности
Dual Front Air Bag/active Belts

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
3235 Newton Road, Stockton, Ca 95205
Дата продажи
Thu Dec 31, 07:00pm (EST)
Last Updated
17.10.2024 11:22
Транспортировка по США

Get In touch by contacting us via
E-mail или Онлайн поддержка for an exact quote

We use cookies to analyse & personalise content