Bidspace.info - Free sales history search service

2023 Ford F-150 VIN 1FTFW1E82PFA73763

Sold for $16,400 at Copart on March 11, 2025, about 5% below the model-year average of $17,351

48,940 mi rear end damage Gastonia, NC VIN 1FTFW1E82PFA73763 LOT 42754955
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
1 / 12
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
2023 Ford F-150, VIN: 1FTFW1E82PFA73763
Damage area
Rear end
Moderate
$16,400 Final bid value
-5% vs avg
38% of est. retail
48,940 mi Odometer
Rear end Primary damage
Charcoal Body color
2023 Ford F-150 auction history
  • Min
    $15
  • This
    $16,400
  • Avg
    $17,351
  • Max
    $93,250

This sold 5% below the model-year average across 4,995 archived sales.

Sale details

Final bid value

16400 USD

Auctioned at

Auction

copart

Sale method

Unknown

Sale status

Sold

Lot number

42754955

VIN

1FTFW1E82PFA73763

Vehicle specs

Body color

Charcoal

Transmission

Automatic

Drive

4x4 W/Rear Wheel Drv

Fuel

GAS

Damage & condition

Primary damage

Rear end

Secondary damage

Unknown

Odometer

48940 mi (Actual)

Retail value

38%

Estimated retail cost

42645.0

Logistics

Location

Gastonia, NC

Keys

YES

Documents

Unknown

Related auctions for this model