Motorcar Parts Of America (MPAA) Shares Outstanding (2010 - 2026)
Motorcar Parts Of America's Shares Outstanding was 18.92 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 2.3% from 19.37 million a year earlier and down 2.0% from the prior quarter.
Motorcar Parts Of America (MPAA) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Shares Outstanding at Motorcar Parts Of America came in at 19.3 million, down 1.9% from FY2025.
- Shares Outstanding shows a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding was 19.69 million in FY2025 (+0.4%), 19.6 million in FY2024 (+1.3%), 19.34 million in FY2023 (+1.2%) and 19.12 million in FY2022 (+0.5%).
- The fiscal Q1 2027 figure marks the lowest quarterly Shares Outstanding since fiscal Q4 2020.
- Compared with a year earlier, Shares Outstanding has declined for five straight quarters, with an average decline of 1.0% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q1 2024 (growth of 2.0%); the worst was fiscal Q1 2027 (a decline of 2.3%).
- Per Business Quant data, MPAA's Shares Outstanding in the three fiscal quarters before Q1 2027 was 19.3 million (Q4 2026), 19.39 million (Q3 2026) and 19.37 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,208.58 Bn | 1,034.61 Bn | 4.75 Bn | 3.24 Bn |
| 2 | Ferrari | 71.33 Bn | 63.82 Bn | 1.18 Bn | 178.13 Mn |
| 3 | General Motors | 68.96 Bn | -37.55 Bn | 7.33 Bn | 896.00 Mn |
| 4 | Ford Motor | 48.34 Bn | -94.15 Bn | 6.08 Bn | 3.99 Bn |
| 5 | Honda Motor | 45.65 Bn | -104.16 Bn | 8.46 Bn | 1.33 Bn |
| 6 | Toyota Motor | 24.76 Bn | -381.74 Bn | 20.95 Bn | 1.30 Bn |
| 7 | Magna International | 18.69 Bn | 12.72 Bn | 1.61 Bn | 281.70 Mn |
| 8 | Rivian Automotive | 16.48 Bn | -6.83 Bn | 179.00 Mn | 1.33 Bn |
| 9 | Stellantis | 12.48 Bn | -152.16 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Motorcar Parts Of America | 193.77 Mn | 118.39 Mn | 27.17 Mn | 18.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.92 Mn |
| Mar 31, 2026 | 19.30 Mn |
| Dec 31, 2025 | 19.39 Mn |
| Sep 30, 2025 | 19.37 Mn |
| Jun 30, 2025 | 19.37 Mn |
| Mar 31, 2025 | 19.69 Mn |
| Dec 31, 2024 | 19.78 Mn |
| Sep 30, 2024 | 19.76 Mn |
| Jun 30, 2024 | 19.67 Mn |
| Mar 31, 2024 | 19.60 Mn |
| Dec 31, 2023 | 19.63 Mn |
| Sep 30, 2023 | 19.60 Mn |
| Jun 30, 2023 | 19.51 Mn |
| Mar 31, 2023 | 19.34 Mn |
| Dec 31, 2022 | 19.47 Mn |
| Sep 30, 2022 | 19.27 Mn |
| Jun 30, 2022 | 19.12 Mn |
| Mar 31, 2022 | 19.12 Mn |
| Dec 31, 2021 | 19.18 Mn |
| Sep 30, 2021 | 19.14 Mn |
Motorcar Parts Of America Shares Outstanding 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=shares-outstanding&ticker=MPAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=MPAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();