Motorcar Parts Of America (MPAA) Net Margin (2010 - 2026)
Motorcar Parts Of America (MPAA) reported Net Margin of -7.99% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 9.60 percentage points from 1.61% a year earlier and down 12.57 percentage points from the prior quarter.
Motorcar Parts Of America (MPAA) Net Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Motorcar Parts Of America's Net Margin came in at -0.53%, down 0.74 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 1.57%, up 4.14 percentage points from FY2025.
- Net Margin has a five-year change of -2.40 percentage points (FY2021 to FY2026).
- By fiscal year, Net Margin came in at -2.57% in FY2025 (+4.29 pp), -6.86% in FY2024 (-6.25 pp), -0.62% in FY2023 (-1.75 pp) and 1.13% in FY2022 (-2.84 pp).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Net Margin since fiscal Q1 2025.
- Year over year, Net Margin gained in four of the last eight quarters, with an average year-over-year change of +4.39 percentage points.
- The high point for year-over-year Net Margin in five years was fiscal Q3 2025 (a gain of 28.70 percentage points); the low point was fiscal Q3 2024 (a drop of 28.15 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 4.58% (Q4 2026), 1.06% (Q3 2026) and -0.97% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.19 Bn | 1,074.21 Bn | 4.75 Bn | 3.95% |
| 2 | Ferrari | 70.63 Bn | 63.12 Bn | 1.18 Bn | 23.85% |
| 3 | General Motors | 67.63 Bn | -38.88 Bn | 7.33 Bn | 2.68% |
| 4 | Ford Motor | 47.35 Bn | -95.15 Bn | 6.08 Bn | -2.75% |
| 5 | Honda Motor | 45.31 Bn | -104.50 Bn | 8.46 Bn | 7.44% |
| 6 | Toyota Motor | 24.52 Bn | -376.30 Bn | 20.95 Bn | 10.92% |
| 7 | Magna International | 18.12 Bn | 12.15 Bn | 1.61 Bn | 4.27% |
| 8 | Rivian Automotive | 16.66 Bn | -6.65 Bn | 179.00 Mn | -50.24% |
| 9 | Stellantis | 12.28 Bn | -152.37 Bn | 5.55 Bn | 0.61% |
| 10 | Motorcar Parts Of America | 192.07 Mn | 116.68 Mn | 27.17 Mn | -7.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.99% |
| Mar 31, 2026 | 4.58% |
| Dec 31, 2025 | 1.06% |
| Sep 30, 2025 | -0.97% |
| Jun 30, 2025 | 1.61% |
| Mar 31, 2025 | -0.37% |
| Dec 31, 2024 | 1.23% |
| Sep 30, 2024 | -1.42% |
| Jun 30, 2024 | -10.65% |
| Mar 31, 2024 | 0.71% |
| Dec 31, 2023 | -27.47% |
| Sep 30, 2023 | -1.00% |
| Jun 30, 2023 | -0.88% |
| Mar 31, 2023 | 0.75% |
| Dec 31, 2022 | 0.68% |
| Sep 30, 2022 | -3.78% |
| Jun 30, 2022 | -0.11% |
| Mar 31, 2022 | -0.20% |
| Dec 31, 2021 | 1.94% |
| Sep 30, 2021 | 2.10% |
Motorcar Parts Of America Net Margin 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=net-margin&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();