2022 Audi Q4 Premium Plus
WA1W2BFZ6NP056488
This vehicle is no longer listed. The figures below describe the market for this build.
Listings
Full listing history on VehiSales →No active listings of this exact VIN right now.
Decoded from the VIN
NHTSA build data for WA1W2BFZ6NP056488Full factory specs for this build →
- ✓ Backup camera
- ✓ Blind-spot monitor
- ✓ Lane departure
- ✓ ABS
- ✓ Electronic stability
EPA efficiency (MPGe)
Electric — running cost depends on local electricity rates, so no gallon-based estimate is shown.
Safety & recalls
NHTSA crash tests & recall campaigns for this model yearThe 2022 Audi Q4 E-Tron has 5 recall campaigns as of August 2026. EPA combined rating: 95 MPGe.
-
BACK OVER PREVENTIONVolkswagen Group of America, Inc. (Volkswagen) is recalling certain 2022 Golf R A8, Audi S3, RS3 Sedan, Q4 E-Tron SUV, A3 Sedan, and 2022-2023 Volkswagen Golf GTI, and ID4…NHTSA campaign 22V823000
-
AIR BAGSVolkswagen Group of America, Inc. (Audi) is recalling certain 2022-2023 Q4 E-Tron SUV and Q4 E-Tron Sportback vehicles.NHTSA campaign 23V189000
-
ELECTRICAL SYSTEMVolkswagen Group of America, Inc. (Audi) is recalling certain 2022-2024 RS e-tron GT, e-tron GT, Q4 e-tron Sportback, Q4 e-tron, 2020-2021 Audi A8, 2019-2024 e-tron Quattro,…NHTSA campaign 23V842000
Recall campaigns apply to the model year, not to one car. Check remedy status for this VIN at nhtsa.gov/recalls.
Model-level data for the 2022 Audi Q4 E-Tron from NHTSA (recalls, NCAP crash tests) and EPA fueleconomy.gov, refreshed August 31, 2026.
How it compares to rivals
Median asking price for comparable body styles listed near this car| Model | Median price | For sale nearby | vs this car |
|---|---|---|---|
| 2022 Audi Q4 Premium Plus (this car) | — | 0 | — |
| 2024 Subaru Crosstrek | $22,335 | 22 | — |
| 2024 Nissan Rogue | $20,840 | 21 | — |
| 2022 Chevrolet Equinox | $19,297 | 17 | — |
| 2024 Jeep Grand Cherokee | $24,499 | 17 | — |
| 2020 Subaru Forester | $24,080 | 16 | — |
Cheapest active listings of each comparable body style in this region — median of what those models actually ask.