Motorcar Parts Of America (MPAA) Operating Expenses (2010 - 2026)
Motorcar Parts Of America (MPAA) reported Operating Expenses of $23.64 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 70.7% from $13.85 million a year earlier but down 19.4% from the prior quarter.
Motorcar Parts Of America (MPAA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Motorcar Parts Of America's Operating Expenses came in at $103.86 million, up 12.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $94.07 million, down 17.4% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 8.4% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $113.91 million in FY2025 (+31.8%), $86.43 million in FY2024 (+11.5%), $77.52 million in FY2023 (-13.1%) and $89.16 million in FY2022 (+41.9%).
- Five-year quarterly Operating Expenses spans a low of $12.42 million in fiscal Q4 2023 and a high of $35.63 million in fiscal Q1 2025.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 7.5%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2022 (growth of 186.3%); the low point was fiscal Q1 2026 (a decline of 61.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $29.32 million (Q4 2026), $24.54 million (Q3 2026) and $26.36 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,212.03 Bn | 1,038.06 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Ferrari | 71.35 Bn | 63.84 Bn | 1.18 Bn | 471.42 Mn |
| 3 | General Motors | 68.22 Bn | -38.29 Bn | 7.33 Bn | 46.57 Bn |
| 4 | Ford Motor | 48.16 Bn | -94.33 Bn | 6.08 Bn | 47.66 Bn |
| 5 | Honda Motor | 45.68 Bn | -104.13 Bn | 8.46 Bn | -34.70 Bn |
| 6 | Toyota Motor | 24.52 Bn | -376.30 Bn | 20.95 Bn | 78.18 Bn |
| 7 | Magna International | 18.64 Bn | 12.67 Bn | 1.61 Bn | 273.20 Mn |
| 8 | Rivian Automotive | 16.56 Bn | -6.75 Bn | 179.00 Mn | 1.02 Bn |
| 9 | Stellantis | 12.44 Bn | -152.21 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Motorcar Parts Of America | 194.24 Mn | 118.86 Mn | 27.17 Mn | 23.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.64 Mn |
| Mar 31, 2026 | 29.32 Mn |
| Dec 31, 2025 | 24.54 Mn |
| Sep 30, 2025 | 26.36 Mn |
| Jun 30, 2025 | 13.85 Mn |
| Mar 31, 2025 | 22.22 Mn |
| Dec 31, 2024 | 27.30 Mn |
| Sep 30, 2024 | 28.76 Mn |
| Jun 30, 2024 | 35.63 Mn |
| Mar 31, 2024 | 22.58 Mn |
| Dec 31, 2023 | 20.52 Mn |
| Sep 30, 2023 | 27.21 Mn |
| Jun 30, 2023 | 16.13 Mn |
| Mar 31, 2023 | 12.42 Mn |
| Dec 31, 2022 | 17.47 Mn |
| Sep 30, 2022 | 24.66 Mn |
| Jun 30, 2022 | 22.97 Mn |
| Mar 31, 2022 | 21.04 Mn |
| Dec 31, 2021 | 23.90 Mn |
| Sep 30, 2021 | 26.40 Mn |
Motorcar Parts Of America Operating Expenses 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=operating-expenses&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();