Motorcar Parts Of America (MPAA) Enterprise Value (2010 - 2026)
Motorcar Parts Of America (MPAA) posted Enterprise Value of $268.66 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 32.8% from $202.25 million a year earlier and up 39.5% from the prior quarter.
Motorcar Parts Of America (MPAA) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Motorcar Parts Of America was $214.67 million, up 29.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $192.63 million, up 11.1% from FY2025.
- Annual Enterprise Value has increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -14.1% (FY2021 to FY2026).
- In prior fiscal years, Motorcar Parts Of America's Enterprise Value was $173.33 million in FY2025 (+21.8%), $142.27 million in FY2024 (+8.2%), $131.43 million in FY2023 (-58.3%) and $315.42 million in FY2022 (-23.3%).
- Quarterly Enterprise Value has run from a low of $112.46 million in fiscal Q1 2025 to a high of $353.89 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last six quarters, with growth averaging 38.2% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q2 2026, with growth of 128.3%; the weakest was fiscal Q4 2023, with a decline of 58.3%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $192.63 million (Q4 2026), $217.46 million (Q3 2026) and $305.57 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,215.04 Bn | 1,041.07 Bn | 4.75 Bn |
| 2 | Ferrari | 71.36 Bn | 63.85 Bn | 1.18 Bn |
| 3 | General Motors | 68.96 Bn | -37.55 Bn | 7.33 Bn |
| 4 | Ford Motor | 48.38 Bn | -94.11 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.69 Bn | -104.12 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.76 Bn | -381.74 Bn | 20.95 Bn |
| 7 | Magna International | 18.75 Bn | 12.78 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.54 Bn | -6.77 Bn | 179.00 Mn |
| 9 | Stellantis | 12.48 Bn | -152.16 Bn | 5.55 Bn |
| 10 | Motorcar Parts Of America | 194.15 Mn | 118.77 Mn | 27.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 268.66 Mn |
| Mar 31, 2026 | 192.63 Mn |
| Dec 31, 2025 | 217.46 Mn |
| Sep 30, 2025 | 305.57 Mn |
| Jun 30, 2025 | 202.25 Mn |
| Mar 31, 2025 | 173.33 Mn |
| Dec 31, 2024 | 136.12 Mn |
| Sep 30, 2024 | 133.83 Mn |
| Jun 30, 2024 | 112.46 Mn |
| Mar 31, 2024 | 142.27 Mn |
| Dec 31, 2023 | 169.29 Mn |
| Sep 30, 2023 | 146.23 Mn |
| Jun 30, 2023 | 138.65 Mn |
| Mar 31, 2023 | 131.43 Mn |
| Dec 31, 2022 | 216.41 Mn |
| Sep 30, 2022 | 286.02 Mn |
| Jun 30, 2022 | 240.89 Mn |
| Mar 31, 2022 | 315.42 Mn |
| Dec 31, 2021 | 316.06 Mn |
| Sep 30, 2021 | 353.89 Mn |
Motorcar Parts Of America Enterprise Value 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=enterprise-value&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();