Motorcar Parts Of America (MPAA) Cash & Equivalents (2010 - 2026)
Motorcar Parts Of America (MPAA) reported Cash & Equivalents of $19.12 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 53.2% from $12.48 million a year earlier and up 30.5% from the prior quarter.
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Analysis
Motorcar Parts Of America (MPAA) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Motorcar Parts Of America posted Cash & Equivalents of $14.65 million, up 55.4% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $9.43 million in FY2025 (-32.5%), $13.97 million in FY2024 (+20.5%), $11.6 million in FY2023 (-49.6%) and $23.02 million in FY2022 (+48.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Cash & Equivalents since fiscal Q4 2022.
- Year over year, Cash & Equivalents has now increased in each of the last five quarters, with growth averaging 30.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2026 (growth of 65.7%); the low point was fiscal Q1 2023 (a decline of 63.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $14.65 million (Q4 2026), $17.51 million (Q3 2026) and $15.71 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 15.22 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 1.70 Bn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 23.20 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 18.60 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | 32.71 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 63.88 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | 1.43 Bn |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | 3.59 Bn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 38.49 Bn |
| 10 | Motorcar Parts Of America | 187.34 Mn | 111.95 Mn | 27.17 Mn | 19.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.12 Mn |
| Mar 31, 2026 | 14.65 Mn |
| Dec 31, 2025 | 17.51 Mn |
| Sep 30, 2025 | 15.71 Mn |
| Jun 30, 2025 | 12.48 Mn |
| Mar 31, 2025 | 9.43 Mn |
| Dec 31, 2024 | 10.81 Mn |
| Sep 30, 2024 | 10.41 Mn |
| Jun 30, 2024 | 7.53 Mn |
| Mar 31, 2024 | 13.97 Mn |
| Dec 31, 2023 | 12.16 Mn |
| Sep 30, 2023 | 10.29 Mn |
| Jun 30, 2023 | 10.89 Mn |
| Mar 31, 2023 | 11.60 Mn |
| Dec 31, 2022 | 12.58 Mn |
| Sep 30, 2022 | 7.61 Mn |
| Jun 30, 2022 | 9.22 Mn |
| Mar 31, 2022 | 23.02 Mn |
| Dec 31, 2021 | 7.77 Mn |
| Sep 30, 2021 | 17.91 Mn |
API Access
Motorcar Parts Of America Cash & Equivalents 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=cash-and-equivalents&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();