AutosXchange Intel Hub · Latest price changes
Price cuts for 2023 ford mustangmache in New York — last 30 days
Dealers cut the asking price on 5 vehicles and raised it on 0; the median cut was −6.2%, $10,571 in total cuts. Data as of Nov 11, 10:35 AM PST.
Advanced filters 4 activelocation, make, model, year, price, ZIP radius, grouping
5 / 0cuts / raisesWhat this means: Every price change here was a cut.
−6.2%median cutWhat this means: Half of the cuts were smaller than 6.2%.
$10,571total dollars cutWhat this means: That is about $2,114 per cut on average.
—median raise
Most-cut models
- 1Ford Mustang Mach-E 5 cuts
Most price changes by dealer
- 1Orleans Ford 4 changes (4 cuts) · see changes
- 2Dave Smith Ford 1 changes (1 cuts) · see changes
Newest first
Price cuts for 2023 ford mustangmache in New York — last 30 days
5 price changes match.
| When | Vehicle | Old → new | Change | Dealer | City | State | Days listed |
|---|---|---|---|---|---|---|---|
| 6 h agoNov 11, 7:33 AM PST | 2023 Ford Mustang Mach-E GT | $32,170 → $30,175 | ▼ Cut −$1,995 (−6.2%) | Orleans Ford | Medina | NY | 6 |
| 6 h agoNov 11, 7:33 AM PST | 2023 Ford Mustang Mach-E Premium | $29,169 → $28,170 | ▼ Cut −$999 (−3.4%) | Orleans Ford | Medina | NY | 6 |
| 9 h agoNov 11, 4:24 AM PST | 2023 Ford Mustang Mach-E Premium | $33,345 → $28,762 | ▼ Cut −$4,583 (−13.7%) | Dave Smith Ford | Williamsville | NY | 6 |
| 21 h agoNov 10, 4:02 PM PST | 2023 Ford Mustang Mach-E GT | $32,170 → $30,175 | ▼ Cut −$1,995 (−6.2%) | Orleans Ford | Medina | NY | 5 |
| 21 h agoNov 10, 4:02 PM PST | 2023 Ford Mustang Mach-E Premium | $29,169 → $28,170 | ▼ Cut −$999 (−3.4%) | Orleans Ford | Medina | NY | 5 |
Data
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Free to use with attribution (CC BY 4.0). Source: AutosXchange Intel Hub, autos-xchange.com/market, 2026-11-11. A price change is any change, whatever its size, of at most 40% between two consecutive observed asking prices of the same listing. Asking prices, not sold prices.
Source: AutosXchange Intel Hub, autos-xchange.com/market, 2026-11-11. AutosXchange Intel Hub · Methodology