Motorcar Parts Of America (MPAA) Operating Leases (2019 - 2026)
Motorcar Parts Of America (MPAA) posted Operating Leases of $55.67 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 11.7% from $63.06 million a year earlier and down 2.3% from the prior quarter.
Motorcar Parts Of America (MPAA) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Motorcar Parts Of America's Operating Leases came in at $56.97 million, down 12.8% from FY2025.
- Annual Operating Leases has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -4.2% (FY2021 to FY2026).
- In prior fiscal years, Motorcar Parts Of America's Operating Leases was $65.31 million in FY2025 (-9.6%), $72.24 million in FY2024 (-8.9%), $79.32 million in FY2023 (-1.8%) and $80.8 million in FY2022 (+14.5%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Leases since fiscal Q2 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last 17 quarters, with an average decline of 10.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q2 2022, with growth of 15.1%; the weakest was fiscal Q4 2026, with a decline of 12.8%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $56.97 million (Q4 2026), $58.97 million (Q3 2026) and $61.03 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn |
| 10 | Motorcar Parts Of America | 187.34 Mn | 111.95 Mn | 27.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.67 Mn |
| Mar 31, 2026 | 56.97 Mn |
| Dec 31, 2025 | 58.97 Mn |
| Sep 30, 2025 | 61.03 Mn |
| Jun 30, 2025 | 63.06 Mn |
| Mar 31, 2025 | 65.31 Mn |
| Dec 31, 2024 | 66.83 Mn |
| Sep 30, 2024 | 69.42 Mn |
| Jun 30, 2024 | 71.04 Mn |
| Mar 31, 2024 | 72.24 Mn |
| Dec 31, 2023 | 73.73 Mn |
| Sep 30, 2023 | 75.70 Mn |
| Jun 30, 2023 | 77.01 Mn |
| Mar 31, 2023 | 79.32 Mn |
| Dec 31, 2022 | 81.51 Mn |
| Sep 30, 2022 | 78.36 Mn |
| Jun 30, 2022 | 79.55 Mn |
| Mar 31, 2022 | 80.80 Mn |
| Dec 31, 2021 | 82.29 Mn |
| Sep 30, 2021 | 84.00 Mn |
Motorcar Parts Of America Operating Leases 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=operating-leases&ticker=MPAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();