Motorcar Parts Of America (MPAA) Tax Provisions (2010 - 2026)
Motorcar Parts Of America (MPAA) posted Tax Provisions of $3.37 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 38.9% from $2.43 million a year earlier and up 45.0% from the prior quarter.
Motorcar Parts Of America (MPAA) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Motorcar Parts Of America was $8.82 million, up 38.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $7.88 million, up 108.2% from FY2025.
- Annual Tax Provisions shows a five-year compound annual growth rate of -3.5% (FY2021 to FY2026).
- In prior fiscal years, Motorcar Parts Of America's Tax Provisions was $3.78 million in FY2025 (-89.5%), $36.18 million in FY2024, $1.1 million in FY2023 (-81.0%) and $5.79 million in FY2022 (-38.3%).
- Quarterly Tax Provisions has run from a low of -$8.97 million in fiscal Q3 2023 to a high of $37.28 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Tax Provisions increased in three of the last four quarters, with growth averaging 63.1%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q4 2023, with growth of 937.3%; the weakest was fiscal Q3 2025, with a decline of 97.0%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $2.32 million (Q4 2026), -$434,000 (Q3 2026) and $3.56 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,208.58 Bn | 1,034.61 Bn | 4.75 Bn | 201.00 Mn |
| 2 | Ferrari | 71.33 Bn | 63.82 Bn | 1.18 Bn | 160.68 Mn |
| 3 | General Motors | 68.96 Bn | -37.55 Bn | 7.33 Bn | 214.00 Mn |
| 4 | Ford Motor | 48.34 Bn | -94.15 Bn | 6.08 Bn | -711.00 Mn |
| 5 | Honda Motor | 45.65 Bn | -104.16 Bn | 8.46 Bn | -823.19 Mn |
| 6 | Toyota Motor | 24.76 Bn | -381.74 Bn | 20.95 Bn | 2.59 Bn |
| 7 | Magna International | 18.69 Bn | 12.72 Bn | 1.61 Bn | 120.00 Mn |
| 8 | Rivian Automotive | 16.48 Bn | -6.83 Bn | 179.00 Mn | -1.00 Mn |
| 9 | Stellantis | 12.48 Bn | -152.16 Bn | 5.55 Bn | 240.61 Mn |
| 10 | Motorcar Parts Of America | 193.77 Mn | 118.39 Mn | 27.17 Mn | 3.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.37 Mn |
| Mar 31, 2026 | 2.32 Mn |
| Dec 31, 2025 | -434,000.00 |
| Sep 30, 2025 | 3.56 Mn |
| Jun 30, 2025 | 2.43 Mn |
| Mar 31, 2025 | 1.93 Mn |
| Dec 31, 2024 | 1.12 Mn |
| Sep 30, 2024 | 912,000.00 |
| Jun 30, 2024 | -178,000.00 |
| Mar 31, 2024 | -1.05 Mn |
| Dec 31, 2023 | 37.28 Mn |
| Sep 30, 2023 | -46,000.00 |
| Jun 30, 2023 | -9,000.00 |
| Mar 31, 2023 | 10.39 Mn |
| Dec 31, 2022 | -8.97 Mn |
| Sep 30, 2022 | -914,000.00 |
| Jun 30, 2022 | 589,000.00 |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 1.59 Mn |
| Sep 30, 2021 | 2.25 Mn |
Motorcar Parts Of America Tax Provisions 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=tax-provisions&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();