Motorcar Parts Of America (MPAA) Total Non-Current Liabilities (2011 - 2026)
Motorcar Parts Of America (MPAA) reported Total Non-Current Liabilities of $748.98 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.2% from $705.03 million a year earlier and up 0.5% from the prior quarter.
Motorcar Parts Of America (MPAA) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Motorcar Parts Of America posted Total Non-Current Liabilities of $745.09 million, up 7.5% from FY2025.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 6.7% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $693.31 million in FY2025 (-3.7%), $720.02 million in FY2024 (+3.4%), $696.51 million in FY2023 (+0.5%) and $693.12 million in FY2022 (+28.7%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2011.
- Year over year, Total Non-Current Liabilities has now increased in each of the last five quarters, with growth averaging 1.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q4 2022 (growth of 28.7%); the low point was fiscal Q4 2025 (a decline of 3.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $745.09 million (Q4 2026), $725 million (Q3 2026) and $723.48 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,252.36 Bn | 1,078.39 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Ferrari | 70.89 Bn | 63.38 Bn | 1.18 Bn | 5.53 Bn |
| 3 | General Motors | 68.78 Bn | -37.73 Bn | 7.33 Bn | 122.27 Bn |
| 4 | Ford Motor | 48.14 Bn | -94.35 Bn | 6.08 Bn | 219.21 Bn |
| 5 | Honda Motor | 45.53 Bn | -104.28 Bn | 8.46 Bn | 5.28 Bn |
| 6 | Toyota Motor | 24.52 Bn | -376.30 Bn | 20.95 Bn | 3.36 Bn |
| 7 | Magna International | 18.37 Bn | 12.39 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.75 Bn | -6.56 Bn | 179.00 Mn | 8.76 Bn |
| 9 | Stellantis | 12.38 Bn | -152.26 Bn | 5.55 Bn | 73.67 Bn |
| 10 | Motorcar Parts Of America | 195.96 Mn | 120.58 Mn | 27.17 Mn | 748.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 748.98 Mn |
| Mar 31, 2026 | 745.09 Mn |
| Dec 31, 2025 | 725.00 Mn |
| Sep 30, 2025 | 723.48 Mn |
| Jun 30, 2025 | 705.03 Mn |
| Mar 31, 2025 | 693.31 Mn |
| Dec 31, 2024 | 680.31 Mn |
| Sep 30, 2024 | 716.17 Mn |
| Jun 30, 2024 | 704.44 Mn |
| Mar 31, 2024 | 720.02 Mn |
| Dec 31, 2023 | 703.16 Mn |
| Sep 30, 2023 | 730.65 Mn |
| Jun 30, 2023 | 723.41 Mn |
| Mar 31, 2023 | 696.51 Mn |
| Dec 31, 2022 | 691.56 Mn |
| Sep 30, 2022 | 696.30 Mn |
| Jun 30, 2022 | 678.67 Mn |
| Mar 31, 2022 | 693.12 Mn |
| Dec 31, 2021 | 618.57 Mn |
| Sep 30, 2021 | 609.67 Mn |
Motorcar Parts Of America Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MPAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();