Agency report card · New York
What Syracuse University, NY sold at auction
Since June 2026, Syracuse University, NY sold 98 lots of surplus on GovDeals for at least $264,573. Its biggest sale was “2020 Freightliner X-Line Shuttle BUS - Hometown Trolley” for $78,000.
- Sold for
- $264,573
- Lots sold
- 98
- Typical sale
- $91
- Sold for $10 or less
- 3%
For bidders: 92% of lots sell.
Biggest sales
- 2020 Freightliner X-Line Shuttle BUS - Hometown Trolley · Jul 31, 2026$78,000
- 2021 Ford E450 SD Trolley Bus - Hometown Trolley · Jul 30, 2026$57,500
- 2020 Ford Do/K Hometown Trolley Bus · Jul 30, 2026$56,000
- 2019 Bobcat Utility Vehicle SEE VIDEO!!! · Jun 22, 2026$12,005
- 2018 Ford Explorer Police 4WD SEE VIDEO!!! · Sep 29, 2026$8,600
What it sells
| Category | Lots sold | Sold for |
|---|---|---|
| Vehicles | 12 | $231,443 |
| Other | 59 | $24,884 |
| Electronics | 2 | $3,680 |
| Equipment | 8 | $3,215 |
| Tools | 8 | $699 |
| Furniture | 8 | $628 |
Month by month
- Jun 2026$34,268
- Jul 2026$201,335
- Aug 2026$11,621
- Sep 2026$17,297
- Oct 2026$52
Up for auction now
- LOT of 2 Microwaves$10 · ends Oct 29, 2026
- Nu-Vu Circulating Air Gas Ove$10 · ends Oct 29, 2026
- True Commercial 3 Door Freezer$10 · ends Oct 29, 2026
- Stainless Steel Table$75 · ends Oct 29, 2026
- Commercial Deli Slicer$34 · ends Oct 29, 2026
- Hobart Buffalo Chopper$77 · ends Oct 29, 2026
- Commercial Deli Cooler$50 · ends Oct 29, 2026
- LOT of 2 Safes$10 · ends Oct 29, 2026
- and 38 more.
Cite this
Syracuse University, NY sold 98 lots of surplus at auction for at least $264,573 between Jun 22, 2026 and Oct 6, 2026.
- Sample
- 98 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). Syracuse University, NY sold 98 lots of surplus at auction for at least $264,573 between Jun 22, 2026 and Oct 6, 2026. https://govauctions.app/agencies/syracuse-university-ny
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.