Motorcar Parts Of America (MPAA) Assets (2011 - 2026)
Motorcar Parts Of America (MPAA) posted Assets of $1.01 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.8% from $973.35 million a year earlier but down 0.9% from the prior quarter.
Motorcar Parts Of America (MPAA) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Motorcar Parts Of America's Assets came in at $1.02 billion, up 6.5% from FY2025.
- Annual Assets shows a five-year compound annual growth rate of 3.8% (FY2021 to FY2026).
- In prior fiscal years, Motorcar Parts Of America's Assets was $957.64 million in FY2025 (-5.4%), $1.01 billion in FY2024 (-1.6%), $1.03 billion in FY2023 (+1.3%) and $1.02 billion in FY2022 (+19.8%).
- Quarterly Assets has run from a low of $927.21 million in fiscal Q2 2022 to a high of $1.07 billion in fiscal Q2 2024 over five years.
- On a year-over-year basis, Assets has increased in each of the last four quarters, with an average decline of 0.4% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q4 2022, with growth of 19.8%; the weakest was fiscal Q1 2025, with a decline of 7.6%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $1.02 billion (Q4 2026), $991.31 million (Q3 2026) and $989.97 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.74 Bn | 1,074.76 Bn | 4.75 Bn | 148.52 Bn |
| 2 | Ferrari | 70.40 Bn | 62.89 Bn | 1.18 Bn | 11.67 Bn |
| 3 | General Motors | 66.12 Bn | -38.49 Bn | 9.28 Bn | 289.18 Bn |
| 4 | Ford Motor | 47.33 Bn | -95.17 Bn | 6.08 Bn | 285.53 Bn |
| 5 | Honda Motor | 45.15 Bn | -104.66 Bn | 8.46 Bn | 212.68 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 633.85 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.52 Bn | -6.79 Bn | 179.00 Mn | 15.14 Bn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 243.77 Bn |
| 10 | Motorcar Parts Of America | 187.90 Mn | 112.52 Mn | 27.17 Mn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 991.31 Mn |
| Sep 30, 2025 | 989.97 Mn |
| Jun 30, 2025 | 973.35 Mn |
| Mar 31, 2025 | 957.64 Mn |
| Dec 31, 2024 | 949.51 Mn |
| Sep 30, 2024 | 986.24 Mn |
| Jun 30, 2024 | 977.96 Mn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 995.93 Mn |
| Sep 30, 2023 | 1.07 Bn |
| Jun 30, 2023 | 1.06 Bn |
| Mar 31, 2023 | 1.03 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 1.01 Bn |
| Jun 30, 2022 | 1.00 Bn |
| Mar 31, 2022 | 1.02 Bn |
| Dec 31, 2021 | 938.28 Mn |
| Sep 30, 2021 | 927.21 Mn |
Motorcar Parts Of America Assets 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=assets&ticker=MPAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();