Motorcar Parts Of America (MPAA) Asset Writedowns and Impairment (2010 - 2026)
Motorcar Parts Of America's Asset Writedowns and Impairment came in at $1.81 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 13.1% from $2.08 million a year earlier and down 38.3% from the prior quarter.
Motorcar Parts Of America (MPAA) Asset Writedowns and Impairment (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Motorcar Parts Of America reported Asset Writedowns and Impairment of $9.62 million, down 30.9% year-over-year; for FY2026 (ended Mar 31, 2026), it was $9.89 million, down 34.1% from FY2025.
- Asset Writedowns and Impairment has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -5.0% (FY2021 to FY2026).
- Going back by fiscal year, Asset Writedowns and Impairment was $15.01 million in FY2025 (-7.5%), $16.23 million in FY2024 (-13.9%), $18.85 million in FY2023 (+39.6%) and $13.5 million in FY2022 (+5.5%).
- The fiscal Q1 2027 figure represents the lowest quarterly Asset Writedowns and Impairment since fiscal Q3 2019.
- Year-over-year, Asset Writedowns and Impairment has declined for six consecutive quarters, with an average decline of 16.4% over the last eight quarters.
- The fastest year-over-year change in Asset Writedowns and Impairment over five years came in fiscal Q3 2023 (growth of 85.2%), and the weakest in fiscal Q2 2026 (a decline of 52.2%).
- Business Quant data shows MPAA's Asset Writedowns and Impairment at $2.93 million (Q4 2026), $2.83 million (Q3 2026) and $2.04 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,212.52 Bn | 1,047.07 Bn | 4.75 Bn |
| 2 | Ferrari | 147.55 Bn | 140.05 Bn | 1.18 Bn |
| 3 | General Motors | 65.56 Bn | -37.34 Bn | 9.28 Bn |
| 4 | Honda Motor | 52.27 Bn | -95.89 Bn | 8.46 Bn |
| 5 | Ford Motor | 46.77 Bn | -95.70 Bn | 6.08 Bn |
| 6 | Toyota Motor | 25.49 Bn | -375.32 Bn | 20.95 Bn |
| 7 | Magna International | 18.13 Bn | 12.50 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.43 Bn | -6.86 Bn | 179.00 Mn |
| 9 | Stellantis | 12.34 Bn | -151.78 Bn | 5.55 Bn |
| 10 | Motorcar Parts Of America | 191.98 Mn | 116.60 Mn | 27.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.81 Mn |
| Mar 31, 2026 | 2.93 Mn |
| Dec 31, 2025 | 2.83 Mn |
| Sep 30, 2025 | 2.04 Mn |
| Jun 30, 2025 | 2.08 Mn |
| Mar 31, 2025 | 3.69 Mn |
| Dec 31, 2024 | 3.86 Mn |
| Sep 30, 2024 | 4.27 Mn |
| Jun 30, 2024 | 3.18 Mn |
| Mar 31, 2024 | 6.60 Mn |
| Dec 31, 2023 | 2.87 Mn |
| Sep 30, 2023 | 3.40 Mn |
| Jun 30, 2023 | 3.37 Mn |
| Mar 31, 2023 | 4.60 Mn |
| Dec 31, 2022 | 5.53 Mn |
| Sep 30, 2022 | 4.77 Mn |
| Jun 30, 2022 | 3.94 Mn |
| Mar 31, 2022 | 4.21 Mn |
| Dec 31, 2021 | 2.99 Mn |
| Sep 30, 2021 | 3.16 Mn |
Motorcar Parts Of America Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=MPAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();