Bidspace.info - Free sales history search service

2016 Lexus GX VIN JTJJM7FX6G5132373

Sold for $8,800 at Copart on April 20, 2023, about 39% below the model-year average of $14,319

0 mi front end damage Tucson, AZ VIN JTJJM7FX6G5132373 LOT 43007753
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
1 / 13
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
2016 Lexus GX, VIN: JTJJM7FX6G5132373
Damage area
FRONT END
Moderate · SIDE
$8,800 Final bid value
-39% vs avg
29% of est. retail
0 mi Odometer
Front end Primary damage
Black Body color
2016 Lexus GX auction history
  • Min
    $250
  • This
    $8,800
  • Avg
    $14,319
  • Max
    $51,000

This sold 39% below the model-year average across 562 archived sales.

Sale details

Final bid value

8800 USD

Auctioned at

Auction

copart

Sale method

auction

Sale status

Sold

Lot number

43007753

VIN

JTJJM7FX6G5132373

Vehicle specs

Body color

Black

Transmission

Automatic

Drive

All Wheel Drive

Fuel

GAS

Damage & condition

Primary damage

FRONT END

Secondary damage

SIDE

Odometer

0 mi (Unknown)

Retail value

32%

Estimated retail cost

29861.00

Logistics

Location

Tucson, AZ

Keys

NO

Documents

""

Related auctions for this model