AutosXchange Intel Hub · Latest price changes
Price cuts and increases for 2026 nissan altima in the Pacific states — last 7 days
Dealers cut the asking price on 4 vehicles and raised it on 0; the median cut was −3.2%, $5,792 in total cuts. Data as of Nov 9, 1:35 AM PST.
Advanced filters 4 activelocation, make, model, year, price, ZIP radius, grouping
4 / 0cuts / raisesWhat this means: Every price change here was a cut.
−3.2%median cutWhat this means: Half of the cuts were smaller than 3.2%.
$5,792total dollars cutWhat this means: That is about $1,448 per cut on average.
—median raise
Most-cut models
- 1Nissan Altima 4 cuts
Most price changes by dealer
- 1King Windward Nissan 1 changes (1 cuts) · see changes
- 2Lithia Nissan of Eugene 1 changes (1 cuts) · see changes
- 3New City Nissan 1 changes (1 cuts) · see changes
- 4San Leandro Nissan 1 changes (1 cuts) · see changes
Newest first
Price cuts and increases for 2026 nissan altima in the Pacific states — last 7 days
4 price changes match.
| When | Vehicle | Old → new | Change | Dealer | City | State | Days listed |
|---|---|---|---|---|---|---|---|
| 3 d agoNov 6, 7:01 AM PST |  2026 Nissan Altima SV | $27,129 → $26,340 | ▼ Cut −$789 (−2.9%) | Lithia Nissan of Eugene | Eugene | OR | 1 |
| 3 d agoNov 6, 6:22 AM PST |  2026 Nissan Altima SR | $34,810 → $33,613 | ▼ Cut −$1,197 (−3.4%) | King Windward Nissan | Kaneohe | HI | 1 |
| 3 d agoNov 6, 5:43 AM PST |  2026 Nissan Altima SV | $33,535 → $33,300 | ▼ Cut −$235 (−0.7%) | New City Nissan | Honolulu | HI | 1 |
| 3 d agoNov 5, 10:33 PM PST |  2026 Nissan Altima 2.5 SV Sedan 4D | $28,012 → $24,441 | ▼ Cut −$3,571 (−12.8%) | San Leandro Nissan | San Leandro | CA | 1 |
Data
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Free to use with attribution (CC BY 4.0). Source: AutosXchange Intel Hub, autos-xchange.com/market, 2026-11-09. A price change is a change of at least $50 and 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, 2026-11-09. AutosXchange Intel Hub · Methodology