Agency report card · New York
What New York City Fleet, NY (DCAS) sold at auction
Since May 2026, New York City Fleet, NY (DCAS) sold 844 lots of surplus on GovDeals for at least $3,352,359. Its biggest sale was “2018 Mack GU813” for $32,000.
- Sold for
- $3,352,359
- Lots sold
- 844
- Typical sale
- $2,100
- Sold for $10 or less
- 0%
For bidders: 95% of lots sell. This seller's listings usually close 46% below the average comps for government lots.
Biggest sales
- 2018 Mack GU813 · Sep 23, 2026$32,000
- 2014 Doosan DL220-3 · Jun 8, 2026$28,000
- 2009 Case 580SM3 · Oct 26, 2026$23,200
- 2015 Kenworth T370 - Tree Trimmer · Jul 23, 2026$21,200
- 2017 Ford F-450 SD · Oct 8, 2026$20,000
What it sells
| Category | Lots sold | Sold for |
|---|---|---|
| Vehicles | 755 | $2,926,801 |
| Equipment | 55 | $280,717 |
| Other | 34 | $144,841 |
Month by month
- May 2026$404,863
- Jun 2026$417,594
- Jul 2026$261,653
- Aug 2026$466,468
- Sep 2026$818,934
- Oct 2026$982,847
Up for auction now
- 2000 Trail-EZE$1,300 · ends Nov 6, 2026
- 2000 Trail-EZE$1,300 · ends Nov 6, 2026
- 2019 Ford Explorer$340 · ends Nov 6, 2026
- 2000 Caterpillar 938G$3,500 · ends Nov 6, 2026
- 2001 New Holland TN65D$700 · ends Nov 6, 2026
- 2001 New Holland TN65D$600 · ends Nov 6, 2026
- 2002 SEAGRAVE JB30DA$600 · ends Nov 6, 2026
- 2003 Case 621D$2,900 · ends Nov 6, 2026
- and 84 more.
Cite this
New York City Fleet, NY (DCAS) sold 844 lots of surplus at auction for at least $3,352,359 between May 14, 2026 and Oct 26, 2026.
- Sample
- 844 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). New York City Fleet, NY (DCAS) sold 844 lots of surplus at auction for at least $3,352,359 between May 14, 2026 and Oct 26, 2026. https://govauctions.app/agencies/new-york-city-fleet-ny-dcas
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.