Motorcar Parts Of America (MPAA) Research & Development (2010 - 2026)
Motorcar Parts Of America's Research & Development came in at $3.18 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.9% from $3.31 million a year earlier and down 9.3% from the prior quarter.
Motorcar Parts Of America (MPAA) Research & Development (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Motorcar Parts Of America reported Research & Development of $14.07 million, up 14.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $14.2 million, up 24.5% from FY2025.
- Research & Development carries a five-year compound annual growth rate of 10.6% (FY2021 to FY2026).
- Going back by fiscal year, Research & Development was $11.41 million in FY2025 (+14.1%), $10 million in FY2024 (-3.2%), $10.32 million in FY2023 (-1.7%) and $10.5 million in FY2022 (+22.6%).
- The fiscal Q1 2027 figure represents the lowest quarterly Research & Development since fiscal Q3 2025.
- Year-over-year, Research & Development increased in six of the last eight quarters, with growth averaging 19.9%.
- The fastest year-over-year change in Research & Development over five years came in fiscal Q2 2026 (growth of 60.8%), and the weakest in fiscal Q4 2023 (a decline of 30.6%).
- Business Quant data shows MPAA's Research & Development at $3.5 million (Q4 2026), $3.46 million (Q3 2026) and $3.93 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,214.78 Bn | 1,040.81 Bn | 4.75 Bn | 2.37 Bn |
| 2 | Ferrari | 71.42 Bn | 63.92 Bn | 1.18 Bn | 252.82 Mn |
| 3 | General Motors | 68.96 Bn | -37.55 Bn | 7.33 Bn | - |
| 4 | Ford Motor | 48.32 Bn | -94.17 Bn | 6.08 Bn | - |
| 5 | Honda Motor | 45.66 Bn | -104.15 Bn | 8.46 Bn | -1.53 Bn |
| 6 | Toyota Motor | 24.76 Bn | -381.74 Bn | 20.95 Bn | - |
| 7 | Magna International | 18.74 Bn | 12.76 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.52 Bn | -6.79 Bn | 179.00 Mn | 466.00 Mn |
| 9 | Stellantis | 12.47 Bn | -152.18 Bn | 5.55 Bn | 1.52 Bn |
| 10 | Motorcar Parts Of America | 194.62 Mn | 119.24 Mn | 27.17 Mn | 3.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.18 Mn |
| Mar 31, 2026 | 3.50 Mn |
| Dec 31, 2025 | 3.46 Mn |
| Sep 30, 2025 | 3.93 Mn |
| Jun 30, 2025 | 3.31 Mn |
| Mar 31, 2025 | 3.52 Mn |
| Dec 31, 2024 | 3.01 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 2.43 Mn |
| Mar 31, 2024 | 2.64 Mn |
| Dec 31, 2023 | 2.54 Mn |
| Sep 30, 2023 | 2.44 Mn |
| Jun 30, 2023 | 2.38 Mn |
| Mar 31, 2023 | 1.99 Mn |
| Dec 31, 2022 | 2.55 Mn |
| Sep 30, 2022 | 2.67 Mn |
| Jun 30, 2022 | 3.11 Mn |
| Mar 31, 2022 | 2.87 Mn |
| Dec 31, 2021 | 2.64 Mn |
| Sep 30, 2021 | 2.50 Mn |
Motorcar Parts Of America Research & Development 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=research-and-development&ticker=MPAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();