Motorcar Parts Of America (MPAA) Return on Sales [ROS] (2010 - 2026)
Motorcar Parts Of America (MPAA) recorded Return on Sales [ROS] of 2.10% in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 8.55 percentage points from 10.65% a year earlier and down 7.82 percentage points from the prior quarter.
Motorcar Parts Of America (MPAA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Motorcar Parts Of America's Return on Sales [ROS] came in at 6.41% as of Jun 30, 2026, down 2.16 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 8.34%, up 3.06 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -0.29 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 5.27% in FY2025 (-1.15 pp), 6.43% in FY2024 (+1.09 pp), 5.34% in FY2023 (+0.92 pp) and 4.41% in FY2022 (-4.21 pp).
- The fiscal Q1 2027 figure is the lowest quarterly Return on Sales [ROS] since fiscal Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +1.14 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 14.45 percentage points in fiscal Q1 2026, against a drop of 10.65 percentage points in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 9.92% (Q4 2026), 4.97% (Q3 2026) and 7.39% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,231.10 Bn | 1,057.12 Bn | 4.75 Bn | 1.41% |
| 2 | Ferrari | 70.90 Bn | 63.39 Bn | 1.18 Bn | 31.22% |
| 3 | General Motors | 67.40 Bn | -37.21 Bn | 9.28 Bn | 7.19% |
| 4 | Ford Motor | 47.78 Bn | -94.71 Bn | 6.08 Bn | 1.32% |
| 5 | Honda Motor | 46.11 Bn | -103.70 Bn | 8.46 Bn | 8.76% |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 7.86% |
| 7 | Magna International | 18.23 Bn | 12.25 Bn | 1.61 Bn | 12.19% |
| 8 | Rivian Automotive | 15.97 Bn | -7.34 Bn | 179.00 Mn | -50.42% |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn | 1.61% |
| 10 | Motorcar Parts Of America | 190.74 Mn | 115.36 Mn | 27.17 Mn | 2.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10% |
| Mar 31, 2026 | 9.92% |
| Dec 31, 2025 | 4.97% |
| Sep 30, 2025 | 7.39% |
| Jun 30, 2025 | 10.65% |
| Mar 31, 2025 | 8.43% |
| Dec 31, 2024 | 9.44% |
| Sep 30, 2024 | 6.01% |
| Jun 30, 2024 | -3.80% |
| Mar 31, 2024 | 6.45% |
| Dec 31, 2023 | 5.54% |
| Sep 30, 2023 | 7.09% |
| Jun 30, 2023 | 6.54% |
| Mar 31, 2023 | 12.19% |
| Dec 31, 2022 | 2.32% |
| Sep 30, 2022 | 1.07% |
| Jun 30, 2022 | 4.47% |
| Mar 31, 2022 | 2.88% |
| Dec 31, 2021 | 5.36% |
| Sep 30, 2021 | 5.44% |
Motorcar Parts Of America Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MPAA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();