Motorcar Parts Of America (MPAA) Inventory (2018 - 2026)
Motorcar Parts Of America's Inventory came in at $413.29 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 12.7% from $366.77 million a year earlier and up 4.1% from the prior quarter.
Motorcar Parts Of America (MPAA) Inventory (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Motorcar Parts Of America's Inventory was $397.04 million, up 16.4% from FY2025.
- Inventory carries a five-year compound annual growth rate of 6.6% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $341.21 million in FY2025 (-9.5%), $377.04 million in FY2024 (+11.0%), $339.68 million in FY2023 (-8.3%) and $370.5 million in FY2022 (+28.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Inventory in data going back to fiscal Q4 2018.
- Year-over-year, Inventory has increased for three consecutive quarters, with growth averaging 1.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q2 2022 (growth of 37.7%), and the weakest in fiscal Q1 2024 (a decline of 10.1%).
- Business Quant data shows MPAA's Inventory at $397.04 million (Q4 2026), $398.98 million (Q3 2026) and $372.59 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,214.68 Bn | 1,040.71 Bn | 4.75 Bn | 13.75 Bn |
| 2 | Ferrari | 71.37 Bn | 63.87 Bn | 1.18 Bn | 1.42 Bn |
| 3 | General Motors | 68.31 Bn | -38.20 Bn | 7.33 Bn | 15.95 Bn |
| 4 | Ford Motor | 48.26 Bn | -94.23 Bn | 6.08 Bn | 16.95 Bn |
| 5 | Honda Motor | 45.75 Bn | -104.06 Bn | 8.46 Bn | 15.75 Bn |
| 6 | Toyota Motor | 24.52 Bn | -376.30 Bn | 20.95 Bn | 33.78 Bn |
| 7 | Magna International | 18.70 Bn | 12.73 Bn | 1.61 Bn | 4.01 Bn |
| 8 | Rivian Automotive | 16.51 Bn | -6.80 Bn | 179.00 Mn | 1.66 Bn |
| 9 | Stellantis | 12.43 Bn | -152.22 Bn | 5.55 Bn | 27.40 Bn |
| 10 | Motorcar Parts Of America | 193.87 Mn | 118.48 Mn | 27.17 Mn | 413.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 413.29 Mn |
| Mar 31, 2026 | 397.04 Mn |
| Dec 31, 2025 | 398.98 Mn |
| Sep 30, 2025 | 372.59 Mn |
| Jun 30, 2025 | 366.77 Mn |
| Mar 31, 2025 | 341.21 Mn |
| Dec 31, 2024 | 367.03 Mn |
| Sep 30, 2024 | 378.78 Mn |
| Jun 30, 2024 | 402.93 Mn |
| Mar 31, 2024 | 377.04 Mn |
| Dec 31, 2023 | 393.78 Mn |
| Sep 30, 2023 | 366.41 Mn |
| Jun 30, 2023 | 364.19 Mn |
| Mar 31, 2023 | 339.68 Mn |
| Dec 31, 2022 | 390.57 Mn |
| Sep 30, 2022 | 401.20 Mn |
| Jun 30, 2022 | 405.21 Mn |
| Mar 31, 2022 | 370.50 Mn |
| Dec 31, 2021 | 358.74 Mn |
| Sep 30, 2021 | 330.49 Mn |
Motorcar Parts Of America 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=inventory&ticker=MPAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();