4COPART2020 Chevrolet Silverado 2500HD Work Truck
1GC4YLE7XLF110346
- Primary damage
- Front end
- Condition
- Runs and drives
- Title
- Clean title
- Odometer
- 289,838 km · 180,097 mi
Sale status
Minimum bid
Auction date: 19 Aug 2026 · CHAMBERSBURG, PA
Vehicle report
The archive contains 1 dated auction event and 1 full lot record for VIN 1GC4YPEY0LF105558. Latest full record: 18 Aug 2026 at COPART in GLASSBORO EAST, NJ, USA.
Report updated: 15 Aug 2026
If you own this vehicle, or can otherwise show a connection to this VIN, you can request that its auction records be withheld from public view.

Decoded from the VIN structure itself. This describes the vehicle as built, and says nothing about its auction history.
Each row is a unique dated event reported by an auction source. A full lot link appears only when the archive has a standalone lot record for that event.
This report combines persisted auction records from COPART. Values describe what the auction sources reported at each recorded date; they are not an independent inspection or a guarantee that no other history exists.
How this report is compiled
4COPART1GC4YLE7XLF110346
Sale status
Minimum bid
Auction date: 19 Aug 2026 · CHAMBERSBURG, PA
6COPART1GC4YLE74LF344238
Sale status
Minimum bid
Auction date: 19 Aug 2026 · NORTH BOSTON, MA
14COPART1GC4YPEY8LF137044
Sale status
Pure sale
Auction date: 18 Aug 2026 · COLUMBIA, MO
14COPART1GC4YNE74LF101279
Sale status
Minimum bid
Auction date: 18 Aug 2026 · KANSAS CITY, KS
12COPART1GC1YLEY4LF217405
Sale status
On approval
Auction date: 18 Aug 2026 · ANDREWS, TX
13COPART1GC4YNE75LF207868
Sale status
Minimum bid
Auction date: 17 Aug 2026 · COLORADO SPRINGS, CO
If you own this vehicle, or can otherwise show a connection to this VIN, you can request that its auction records be withheld from public view.
Request removal of this VIN1GC4YPEY0LF105558
Submitting opens a request. Each one is reviewed by a person, and the decision and its reasoning are recorded. Approved requests hide records from public pages; they do not erase the underlying data.