Motorcar Parts Of America (MPAA) EBITDA (2010 - 2026)
Motorcar Parts Of America's EBITDA was $6.27 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 72.1% from $22.52 million a year earlier and down 73.5% from the prior quarter.
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Analysis
Motorcar Parts Of America (MPAA) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Motorcar Parts Of America's EBITDA was $59.38 million through Jun 30, 2026, down 22.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $75.96 million, up 49.5% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $50.8 million in FY2025 (-13.6%), $58.81 million in FY2024 (+16.8%), $50.35 million in FY2023 (+16.7%) and $43.14 million in FY2022 (-27.3%).
- The fiscal Q1 2027 figure marks the lowest quarterly EBITDA since fiscal Q1 2025.
- Compared with a year earlier, EBITDA was higher in four of the last seven quarters, with growth averaging 1.2%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2024 (growth of 241.4%); the worst was fiscal Q1 2027 (a decline of 72.1%).
- Per Business Quant data, MPAA's EBITDA in the three fiscal quarters before Q1 2027 was $23.67 million (Q4 2026), $10.69 million (Q3 2026) and $18.74 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,208.58 Bn | 1,034.61 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Ferrari | 71.33 Bn | 63.82 Bn | 1.18 Bn | 878.33 Mn |
| 3 | General Motors | 68.96 Bn | -37.55 Bn | 7.33 Bn | 2.76 Bn |
| 4 | Ford Motor | 48.34 Bn | -94.15 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 45.65 Bn | -104.16 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 24.76 Bn | -381.74 Bn | 20.95 Bn | 10.70 Bn |
| 7 | Magna International | 18.69 Bn | 12.72 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.48 Bn | -6.83 Bn | 179.00 Mn | -599.00 Mn |
| 9 | Stellantis | 12.48 Bn | -152.16 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Motorcar Parts Of America | 193.77 Mn | 118.39 Mn | 27.17 Mn | 6.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.93 Mn |
| Mar 31, 2026 | 24.31 Mn |
| Dec 31, 2025 | 11.31 Mn |
| Sep 30, 2025 | 19.35 Mn |
| Jun 30, 2025 | 23.11 Mn |
| Mar 31, 2025 | 19.39 Mn |
| Dec 31, 2024 | 20.68 Mn |
| Sep 30, 2024 | 15.67 Mn |
| Jun 30, 2024 | -3.19 Mn |
| Mar 31, 2024 | 15.35 Mn |
| Dec 31, 2023 | 12.93 Mn |
| Sep 30, 2023 | 17.69 Mn |
| Jun 30, 2023 | 13.94 Mn |
| Mar 31, 2023 | 26.86 Mn |
| Dec 31, 2022 | 6.63 Mn |
| Sep 30, 2022 | 4.94 Mn |
| Jun 30, 2022 | 10.46 Mn |
| Mar 31, 2022 | 8.02 Mn |
| Dec 31, 2021 | 11.90 Mn |
| Sep 30, 2021 | 12.77 Mn |
API Access
Motorcar Parts Of America EBITDA 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=ebitda&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();