Motorcar Parts Of America (MPAA) Total Liabilities (2011 - 2026)
Motorcar Parts Of America (MPAA) recorded Total Liabilities of $757.04 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.1% from $713.24 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Motorcar Parts Of America (MPAA) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Motorcar Parts Of America reported Total Liabilities of $753.43 million, up 7.6% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 6.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $699.94 million in FY2025 (-3.7%), $726.89 million in FY2024 (+2.7%), $708.09 million in FY2023 (+1.1%) and $700.44 million in FY2022 (+28.1%).
- The fiscal Q1 2027 figure is the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- On a year-over-year basis, Total Liabilities has increased for five consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 28.1% in fiscal Q4 2022, against a decline of 3.8% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $753.43 million (Q4 2026), $732.76 million (Q3 2026) and $731.43 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,208.58 Bn | 1,034.61 Bn | 4.75 Bn | 61.06 Bn |
| 2 | Ferrari | 71.33 Bn | 63.82 Bn | 1.18 Bn | 7.49 Bn |
| 3 | General Motors | 68.96 Bn | -37.55 Bn | 7.33 Bn | 219.10 Bn |
| 4 | Ford Motor | 48.34 Bn | -94.15 Bn | 6.08 Bn | 249.78 Bn |
| 5 | Honda Motor | 45.65 Bn | -104.16 Bn | 8.46 Bn | 134.69 Bn |
| 6 | Toyota Motor | 24.76 Bn | -381.74 Bn | 20.95 Bn | 403.44 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 | 10.01 Bn |
| 9 | Stellantis | 12.48 Bn | -152.16 Bn | 5.55 Bn | 173.26 Bn |
| 10 | Motorcar Parts Of America | 193.77 Mn | 118.39 Mn | 27.17 Mn | 757.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 757.04 Mn |
| Mar 31, 2026 | 753.43 Mn |
| Dec 31, 2025 | 732.76 Mn |
| Sep 30, 2025 | 731.43 Mn |
| Jun 30, 2025 | 713.24 Mn |
| Mar 31, 2025 | 699.94 Mn |
| Dec 31, 2024 | 686.84 Mn |
| Sep 30, 2024 | 722.28 Mn |
| Jun 30, 2024 | 710.79 Mn |
| Mar 31, 2024 | 726.89 Mn |
| Dec 31, 2023 | 714.18 Mn |
| Sep 30, 2023 | 741.64 Mn |
| Jun 30, 2023 | 734.75 Mn |
| Mar 31, 2023 | 708.09 Mn |
| Dec 31, 2022 | 701.59 Mn |
| Sep 30, 2022 | 704.02 Mn |
| Jun 30, 2022 | 685.66 Mn |
| Mar 31, 2022 | 700.44 Mn |
| Dec 31, 2021 | 625.16 Mn |
| Sep 30, 2021 | 616.97 Mn |
API Access
Motorcar Parts Of America Total 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-liabilities&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();