Motorcar Parts Of America (MPAA) Goodwill & Intangibles (2011 - 2026)
Motorcar Parts Of America's Goodwill & Intangibles was $7.36 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 99.2% from $3.69 million a year earlier and up 113.8% from the prior quarter.
Motorcar Parts Of America (MPAA) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Goodwill & Intangibles at Motorcar Parts Of America came in at $3.44 million, down 8.4% from FY2025.
- Goodwill & Intangibles has now declined for seven consecutive fiscal years, with a five-year compound annual growth rate of -16.6% (FY2021 to FY2026).
- In earlier fiscal years, Goodwill & Intangibles was $3.76 million in FY2025 (-12.1%), $4.27 million in FY2024 (-20.1%), $5.35 million in FY2023 (-23.6%) and $7 million in FY2022 (-17.9%).
- The fiscal Q1 2027 figure marks the highest quarterly Goodwill & Intangibles since fiscal Q2 2022.
- Compared with a year earlier, Goodwill & Intangibles was higher in 1 of the last eight quarters, with growth averaging 2.7%.
- The best year-over-year quarter for Goodwill & Intangibles over five years was fiscal Q1 2027 (growth of 99.2%); the worst was fiscal Q4 2023 (a decline of 23.6%).
- Per Business Quant data, MPAA's Goodwill & Intangibles in the three fiscal quarters before Q1 2027 was $3.44 million (Q4 2026), $3.53 million (Q3 2026) and $3.6 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,225.43 Bn | 1,051.46 Bn | 4.75 Bn |
| 2 | Ferrari | 70.82 Bn | 63.31 Bn | 1.18 Bn |
| 3 | General Motors | 66.82 Bn | -37.79 Bn | 9.28 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn |
| 5 | Honda Motor | 46.12 Bn | -103.69 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn |
| 7 | Magna International | 18.12 Bn | 12.15 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 15.95 Bn | -7.36 Bn | 179.00 Mn |
| 9 | Stellantis | 12.34 Bn | -152.31 Bn | 5.55 Bn |
| 10 | Motorcar Parts Of America | 191.12 Mn | 115.74 Mn | 27.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.36 Mn |
| Mar 31, 2026 | 3.44 Mn |
| Dec 31, 2025 | 3.53 Mn |
| Sep 30, 2025 | 3.60 Mn |
| Jun 30, 2025 | 3.69 Mn |
| Mar 31, 2025 | 3.76 Mn |
| Dec 31, 2024 | 3.85 Mn |
| Sep 30, 2024 | 3.98 Mn |
| Jun 30, 2024 | 4.10 Mn |
| Mar 31, 2024 | 4.27 Mn |
| Dec 31, 2023 | 4.46 Mn |
| Sep 30, 2023 | 4.72 Mn |
| Jun 30, 2023 | 5.05 Mn |
| Mar 31, 2023 | 5.35 Mn |
| Dec 31, 2022 | 5.71 Mn |
| Sep 30, 2022 | 6.05 Mn |
| Jun 30, 2022 | 6.55 Mn |
| Mar 31, 2022 | 7.00 Mn |
| Dec 31, 2021 | 7.34 Mn |
| Sep 30, 2021 | 7.71 Mn |
Motorcar Parts Of America Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=MPAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();