Motorcar Parts Of America (MPAA) Change in Inventory (2010 - 2026)
Motorcar Parts Of America's Change in Inventory came in at $18.3 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 127.4% from $8.05 million a year earlier and up 421.4% from the prior quarter.
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Analysis
Motorcar Parts Of America (MPAA) Change in Inventory (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Motorcar Parts Of America reported Change in Inventory of $58.85 million; for FY2026 (ended Mar 31, 2026), it was $48.6 million.
- Change in Inventory carries a five-year compound annual growth rate of -8.0% (FY2021 to FY2026).
- Going back by fiscal year, Change in Inventory was -$19.62 million in FY2025, $53.59 million in FY2024, -$10.42 million in FY2023 and $95.53 million in FY2022 (+29.9%).
- The five-year range for quarterly Change in Inventory is -$31.31 million (fiscal Q4 2023) to $31.12 million (fiscal Q3 2022).
- The fastest year-over-year change in Change in Inventory over five years came in fiscal Q2 2022 (growth of 721.3%), and the weakest in fiscal Q2 2023 (a decline of 85.0%).
- Business Quant data shows MPAA's Change in Inventory at $3.51 million (Q4 2026), $28.75 million (Q3 2026) and $8.29 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,250.61 Bn | 1,076.64 Bn | 4.75 Bn | -592.00 Mn |
| 2 | Ferrari | 70.61 Bn | 63.10 Bn | 1.18 Bn | -96.15 Mn |
| 3 | General Motors | 67.67 Bn | -38.83 Bn | 7.33 Bn | - |
| 4 | Ford Motor | 47.45 Bn | -95.05 Bn | 6.08 Bn | 352.00 Mn |
| 5 | Honda Motor | 45.36 Bn | -104.45 Bn | 8.46 Bn | 98.16 Mn |
| 6 | Toyota Motor | 24.52 Bn | -376.30 Bn | 20.95 Bn | - |
| 7 | Magna International | 18.08 Bn | 12.11 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.70 Bn | -6.61 Bn | 179.00 Mn | 135.00 Mn |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn | - |
| 10 | Motorcar Parts Of America | 191.22 Mn | 115.83 Mn | 27.17 Mn | 18.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.30 Mn |
| Mar 31, 2026 | 3.51 Mn |
| Dec 31, 2025 | 28.75 Mn |
| Sep 30, 2025 | 8.29 Mn |
| Jun 30, 2025 | 8.05 Mn |
| Mar 31, 2025 | -2.07 Mn |
| Dec 31, 2024 | -6.44 Mn |
| Sep 30, 2024 | -20.17 Mn |
| Jun 30, 2024 | 9.06 Mn |
| Mar 31, 2024 | 7.03 Mn |
| Dec 31, 2023 | 29.69 Mn |
| Sep 30, 2023 | 6.09 Mn |
| Jun 30, 2023 | 10.78 Mn |
| Mar 31, 2023 | -31.31 Mn |
| Dec 31, 2022 | -5.40 Mn |
| Sep 30, 2022 | 2.03 Mn |
| Jun 30, 2022 | 24.25 Mn |
| Mar 31, 2022 | 30.23 Mn |
| Dec 31, 2021 | 31.12 Mn |
| Sep 30, 2021 | 13.56 Mn |
API Access
Motorcar Parts Of America Change in Inventory 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=change-in-inventory&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();