Motorcar Parts Of America (MPAA) Return on Capital Employed [ROCE] (2011 - 2026)
Motorcar Parts Of America's Return on Capital Employed [ROCE] came in at 7.91% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.08 percentage points from 10.99% a year earlier and down 2.96 percentage points from the prior quarter.
Motorcar Parts Of America (MPAA) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Motorcar Parts Of America's Return on Capital Employed [ROCE] was 11.18%, up 4.88 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a five-year change of +1.59 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 6.30% in FY2025 (-1.19 pp), 7.49% in FY2024 (+1.79 pp), 5.70% in FY2023 (+0.02 pp) and 5.68% in FY2022 (-3.91 pp).
- The fiscal Q1 2027 figure represents the lowest quarterly Return on Capital Employed [ROCE] since fiscal Q4 2025.
- Year-over-year, Return on Capital Employed [ROCE] increased in four of the last eight quarters, with an average year-over-year change of +1.37 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q2 2026 (a gain of 6.86 percentage points), and the weakest in fiscal Q1 2023 (a drop of 4.53 percentage points).
- Business Quant data shows MPAA's Return on Capital Employed [ROCE] at 10.87% (Q4 2026), 10.18% (Q3 2026) and 11.58% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,247.97 Bn | 1,073.99 Bn | 4.75 Bn | 3.95% |
| 2 | Ferrari | 71.07 Bn | 63.56 Bn | 1.18 Bn | - |
| 3 | General Motors | 67.37 Bn | -37.24 Bn | 9.28 Bn | 2.41% |
| 4 | Ford Motor | 47.72 Bn | -94.77 Bn | 6.08 Bn | -3.99% |
| 5 | Honda Motor | 46.00 Bn | -103.81 Bn | 8.46 Bn | -0.52% |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | -12.09% |
| 7 | Magna International | 18.01 Bn | 12.04 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.27 Bn | -7.04 Bn | 179.00 Mn | -31.93% |
| 9 | Stellantis | 12.25 Bn | -152.39 Bn | 5.55 Bn | -1.01% |
| 10 | Motorcar Parts Of America | 189.13 Mn | 113.75 Mn | 27.17 Mn | 7.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.91% |
| Mar 31, 2026 | 10.87% |
| Dec 31, 2025 | 10.18% |
| Sep 30, 2025 | 11.58% |
| Jun 30, 2025 | 10.99% |
| Mar 31, 2025 | 6.63% |
| Dec 31, 2024 | 5.79% |
| Sep 30, 2024 | 4.73% |
| Jun 30, 2024 | 4.84% |
| Mar 31, 2024 | 7.69% |
| Dec 31, 2023 | 8.98% |
| Sep 30, 2023 | 8.10% |
| Jun 30, 2023 | 6.33% |
| Mar 31, 2023 | 5.69% |
| Dec 31, 2022 | 2.90% |
| Sep 30, 2022 | 3.88% |
| Jun 30, 2022 | 5.10% |
| Mar 31, 2022 | 5.21% |
| Dec 31, 2021 | 5.11% |
| Sep 30, 2021 | 6.47% |
Motorcar Parts Of America Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MPAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();