Recognition based on new-vehicle owner feedback in the first 90 days of ownership.
Key highlights
- Nissan ranked highest among mass-market brands in the J.D. Power 2025 U.S. Initial Quality Study (IQS).
- Nissan score: 169 problems per 100 vehicles (PP100) (lower is better).
- Segment leaders:
- Nissan Altima — ranked highest in the Midsize Car segment
- Nissan Sentra — ranked highest in the Compact Car segment
Quality you can feel from day one
When you choose Nissan, you’re choosing a brand recognized for strong initial quality—based on real owner feedback during the first 90 days of ownership. The J.D. Power U.S. Initial Quality Study (IQS) evaluates problems experienced early in ownership and reports results as problems per 100 vehicles (PP100).
- Nissan: 169 PP100 (≈ 1.69 problems per vehicle)
- Industry average: 192 PP100 (≈ 1.92 problems per vehicle)
- Higher scores = more issues reported, like Audi (269) and Volvo (258)
Nissan Sentra: Compact Car segment leader
The Nissan Sentra ranked highest in the Compact Car segment in the J.D. Power 2025 U.S. Initial Quality Study (IQS).
Nissan Altima: Midsize Car segment leader
The Nissan Altima ranked highest in the Midsize Car segment in the J.D. Power 2025 U.S. Initial Quality Study (IQS).
About the J.D. Power 2025 U.S. Initial Quality Study (IQS)
- The IQS is now in its 39th year.
- The 2025 study is based on responses from 92,694 purchasers and lessees of new 2025 model-year vehicles, surveyed after 90 days of ownership.
- Results are reported as problems per 100 vehicles (PP100); a lower score reflects higher vehicle quality.
Experience award-recognized Nissan quality at Matt Blatt Nissan
J.D. Power 2025 U.S. Initial Quality Study (IQS) and Nissan press announcement.
J.D. Power is a registered trademark. Results are based on the J.D. Power 2025 U.S. Initial Quality Study (IQS) press materials. No advertising or other promotional use of J.D. Power survey results should be made without appropriate permissions; rankings are based on numerical scores and not necessarily on statistical significance.

