Agency report card · Texas
What Temple, TX sold at auction
Since May 2026, Temple, TX sold 82 lots of surplus on GovDeals for at least $113,867. Its biggest sale was “2013 Case 580 Super N Extendahoe” for $22,200.
- Sold for
- $113,867
- Lots sold
- 82
- Typical sale
- $111
- Sold for $10 or less
- 29%
For bidders: 76% of lots sell. This seller's listings usually close 29% below the average comps for government lots.
Biggest sales
- 2013 Case 580 Super N Extendahoe · Jun 9, 2026$22,200
- 2003 Ford Excursion · Oct 16, 2026$12,900
- 2020 Autocar Xpeditor · Jun 18, 2026$10,100
- 2013 Ford F-250 SuperCrew 4X2 · Aug 28, 2026$7,907
- 2008 Ford Explorer · Aug 6, 2026$5,900
What it sells
| Category | Lots sold | Sold for |
|---|---|---|
| Vehicles | 26 | $84,647 |
| Other | 25 | $24,704 |
| Tools | 6 | $3,705 |
| Furniture | 17 | $548 |
| Electronics | 7 | $226 |
| Equipment | 1 | $37 |
Month by month
- May 2026$5,050
- Jun 2026$53,721
- Jul 2026$7,250
- Aug 2026$19,469
- Sep 2026$4,068
- Oct 2026$24,309
Up for auction now
- Hon Wooden Desk & Hutch$1 · ends Nov 1, 2026
- Wooden Desk Hutch$1 · ends Nov 1, 2026
- 2015 Ford Explorer$1,000 · ends Nov 3, 2026
- 2015 Ford Explorer$100 · ends Nov 3, 2026
- 2015 Chevrolet Tahoe$3,000 · ends Nov 3, 2026
- 2015 Ford Explorer$950 · ends Nov 3, 2026
- Large Light Gray L-Shaped Desk with Hutch$1 · ends Nov 5, 2026
- 2006 Volvo L70E Wheel Loader$1,500 · ends Nov 6, 2026
- and 1 more.
Cite this
Temple, TX sold 82 lots of surplus at auction for at least $113,867 between May 18, 2026 and Oct 21, 2026.
- Sample
- 82 lots
- As of
- 2026-10-29
- Licence
- CC BY 4.0
Method. Sum of recorded winning bids on GovDeals lots consigned by this agency. A lot that closed above our last recorded bid counts at the lower figure.
Cite as. GovAuctions.app (2026). Temple, TX sold 82 lots of surplus at auction for at least $113,867 between May 18, 2026 and Oct 21, 2026. https://govauctions.app/agencies/temple-tx
Free to use with attribution. The machine-readable version of this and every other number we publish, each with its sample size and method, is at /research/facts.json. Questions about the data are welcome via contact.