Motorcar Parts Of America (MPAA) Other Operating Expenses (2010 - 2026)
Motorcar Parts Of America (MPAA) posted Other Operating Expenses of $4.95 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$2.14 million a year earlier and down 34.9% from the prior quarter.
Motorcar Parts Of America (MPAA) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Motorcar Parts Of America was $23.65 million, up 19.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $16.57 million, down 56.9% from FY2025.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 108.7% (FY2021 to FY2026).
- In prior fiscal years, Motorcar Parts Of America's Other Operating Expenses was $38.45 million in FY2025 (+106.0%), $18.67 million in FY2024 (+50.1%), $12.44 million in FY2023 (-41.2%) and $21.16 million in FY2022.
- Quarterly Other Operating Expenses has run from a low of -$2.25 million in fiscal Q4 2023 to a high of $16.53 million in fiscal Q1 2025 over five years.
- On a year-over-year basis, Other Operating Expenses increased in three of the last six quarters, with growth averaging 45.3%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q4 2026, with growth of 194.5%; the weakest was fiscal Q1 2024, with a decline of 81.5%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $7.61 million (Q4 2026), $5.76 million (Q3 2026) and $5.34 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,210.25 Bn | 1,036.28 Bn | 4.75 Bn |
| 2 | Ferrari | 71.31 Bn | 63.80 Bn | 1.18 Bn |
| 3 | General Motors | 68.34 Bn | -38.17 Bn | 7.33 Bn |
| 4 | Ford Motor | 48.10 Bn | -94.39 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.67 Bn | -104.14 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.52 Bn | -376.30 Bn | 20.95 Bn |
| 7 | Magna International | 18.62 Bn | 12.65 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.51 Bn | -6.80 Bn | 179.00 Mn |
| 9 | Stellantis | 12.40 Bn | -152.25 Bn | 5.55 Bn |
| 10 | Motorcar Parts Of America | 194.34 Mn | 118.96 Mn | 27.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.95 Mn |
| Mar 31, 2026 | 7.61 Mn |
| Dec 31, 2025 | 5.76 Mn |
| Sep 30, 2025 | 5.34 Mn |
| Jun 30, 2025 | -2.14 Mn |
| Mar 31, 2025 | 2.58 Mn |
| Dec 31, 2024 | 8.08 Mn |
| Sep 30, 2024 | 11.26 Mn |
| Jun 30, 2024 | 16.53 Mn |
| Mar 31, 2024 | 4.29 Mn |
| Dec 31, 2023 | 2.78 Mn |
| Sep 30, 2023 | 10.45 Mn |
| Jun 30, 2023 | 1.15 Mn |
| Mar 31, 2023 | -2.25 Mn |
| Dec 31, 2022 | 1.32 Mn |
| Sep 30, 2022 | 7.15 Mn |
| Jun 30, 2022 | 6.22 Mn |
| Mar 31, 2022 | 2.23 Mn |
| Dec 31, 2021 | 6.66 Mn |
| Sep 30, 2021 | 9.44 Mn |
Motorcar Parts Of America Other 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=other-operating-expenses&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();