Information about VIN: 5UX43DP07N9M62336 2022 BMW X3
3069$
Specifications
BMW
AUTOMATIC
GAS
19718 mil
Rear-wheel drive
2022
Air Condition
5UX43DP07N9M62336
4 Doors
ABS
2.0L 4
Lot Description
We present you with real-time data regarding the actual selling prices of salvage vehicles, including examples like 5UX43DP07N9M62336 on copart. The 2022 BMW X3, identified by the VIN 5UX43DP07N9M62336, recently found its new owner through a successful auction on copart. Delving deeper, this BMW X3 comes with a recorded mileage of 19718 miles, a detail that you can further authenticate using reputable databases such as Carfax and AutoCheck.
This specific vehicle, with the VIN 5UX43DP07N9M62336, joined the auction due to sustained damage to its FRONT END. Despite this, the resilient spirit of salvage vehicles shines through, as the BMW X3 with the VIN 5UX43DP07N9M62336 managed to secure a new chapter in its journey by being successfully sold on copart's platform. The transaction marked the culmination of a deal that exchanged hands for a sum of 3069.
-
AUTOMATIC
-
36218 mil
-
2020
-
AUTOMATIC
-
0 mil
-
2019
$2692
-
AUTOMATIC
-
14707 mil
-
2021
$6988
-
AUTOMATIC
-
134939 mil
-
2019
-
AUTOMATIC
-
19229 mil
-
2020
$2930
-
AUTOMATIC
-
66123 mil
-
2020
-
AUTOMATIC
-
23888 mil
-
2022
-
AUTOMATIC
-
63291 mil
-
2021
-
AUTOMATIC
-
28069 mil
-
2019
$2850
-
AUTOMATIC
-
81650 mil
-
2019
$5000
-
AUTOMATIC
-
79816 mil
-
2019
-
AUTOMATIC
-
79450 mil
-
2018
-
AUTOMATIC
-
33078 mil
-
2017
$6100
-
AUTOMATIC
-
103821 mil
-
2020
-
AUTOMATIC
-
36218 mil
-
2020
-
AUTOMATIC
-
0 mil
-
2019
$2692
-
AUTOMATIC
-
14707 mil
-
2021
$6988
-
AUTOMATIC
-
134939 mil
-
2019
-
AUTOMATIC
-
19229 mil
-
2020
$2930
-
AUTOMATIC
-
66123 mil
-
2020
-
AUTOMATIC
-
23888 mil
-
2022
-
AUTOMATIC
-
63291 mil
-
2021
-
AUTOMATIC
-
28069 mil
-
2019
$2850
-
AUTOMATIC
-
81650 mil
-
2019
$5000
-
AUTOMATIC
-
79816 mil
-
2019
-
AUTOMATIC
-
79450 mil
-
2018
-
AUTOMATIC
-
33078 mil
-
2017
$6100
-
AUTOMATIC
-
103821 mil
-
2020
New VINs
Explore in-depth automotive history and damage reports from Copart and IAAI on website