Agency report card · California
What Eastside Union School District, CA sold at auction
Since October 2026, Eastside Union School District, CA sold 7 lots of surplus on GovDeals for at least $24,475. Its biggest sale was “Pallet of (+350) Lenovo 300e Laptops” for $9,000.
- Sold for
- $24,475
- Lots sold
- 7
- Typical sale
- $3,150
- Sold for $10 or less
- 0%
For bidders: only 23% of lots find a buyer.
Biggest sales
- Pallet of (+350) Lenovo 300e Laptops · Oct 18, 2026$9,000
- Portable Classroom · Oct 23, 2026$7,200
- Pallet of (+150) Lenovo 300e Laptops · Oct 18, 2026$3,800
- Portable Classroom · Oct 16, 2026$3,150
- Pallet of Miscellaneous Electronic Goods (Laptops, Switches, Printers, Tablets, & More) · Oct 18, 2026$575
What it sells
| Category | Lots sold | Typical price | Sold for |
|---|---|---|---|
| Electronics | 4 | $2,188 | $13,925 |
| Other | 1 | $60 | $7,200 |
| Tools | 1 | $3,150 | $3,150 |
| Furniture | 1 | $45 | $200 |
Month by month
- Oct 2026$24,475
Up for auction now
- American Range Stovetop Oven$100 · ends Nov 10, 2026
- Brown Desk Station w/Cabinets$100 · ends Nov 10, 2026
- Brown Desk Station w/Cabinets$50 · ends Nov 10, 2026
- Brown Desk Station w/Cabinets$50 · ends Nov 10, 2026
- Brown Desk Station w/Cabinets$50 · ends Nov 10, 2026
- Brown Five-Drawer Filing Cabinet$25 · ends Nov 10, 2026
- Cherry Red Desk Station$75 · ends Nov 10, 2026
- Cherry Red Desk Station with Cabinets$40 · ends Nov 10, 2026
- and 19 more.
Cite this
Eastside Union School District, CA sold 7 lots of surplus at auction for at least $24,475 between Oct 15, 2026 and Oct 23, 2026.
- Sample
- 7 lots
- As of
- 2026-11-03
- 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). Eastside Union School District, CA sold 7 lots of surplus at auction for at least $24,475 between Oct 15, 2026 and Oct 23, 2026. https://govauctions.app/agencies/eastside-union-school-district-ca
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.