Faraday Future Intelligent Electric (FFAI) Shares Outstanding (Diluted) (2020 - 2026)
Faraday Future Intelligent Electric (FFAI) reported Weighted Average Shares Outstanding (Diluted) of 2.08 million for Q2 2026, up 200.9% from 691,415 a year earlier.
Faraday Future Intelligent Electric (FFAI) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Faraday Future Intelligent Electric posted Weighted Average Shares Outstanding (Diluted) of 1.66 million, up 570.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 247,060 in FY2024 (+92.3%), 128,463 in FY2023 (-92.1%), 1.63 million in FY2022 (+57.4%) and 1.04 million in FY2021 (+48.6%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q2 2024.
- Year over year, Weighted Average Shares Outstanding (Diluted) gained in five of the last seven quarters, with growth averaging 240.7%.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q3 2025 (growth of 830.8%); the low point was Q3 2023 (a decline of 94.0%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 3.54 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 178.32 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 887.00 Mn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 4.08 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 1.30 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 1.45 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 282.50 Mn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 1.07 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 2.89 Bn |
| 10 | Faraday Future Intelligent Electric | 1.83 Mn | -90.73 Mn | -10.70 Mn | 2.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.08 Mn |
| Mar 31, 2026 | 1.43 Mn |
| Dec 31, 2025 | 828,664.00 |
| Sep 30, 2025 | 1.91 Mn |
| Jun 30, 2025 | 691,415.00 |
| Mar 31, 2025 | 504,999.00 |
| Dec 31, 2024 | 247,060.00 |
| Sep 30, 2024 | 205,059.00 |
| Jun 30, 2024 | 4.68 Mn |
| Mar 31, 2024 | 980,244.00 |
| Dec 31, 2023 | 128,463.00 |
| Sep 30, 2023 | 91,765.00 |
| Jun 30, 2023 | 5.32 Mn |
| Mar 31, 2023 | 2.20 Mn |
| Dec 31, 2022 | 1.63 Mn |
| Sep 30, 2022 | 1.54 Mn |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 1.43 Mn |
| Dec 31, 2021 | 1.04 Mn |
| Sep 30, 2021 | 1.28 Mn |
Faraday Future Intelligent Electric Shares Outstanding (Diluted) 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-diluted&ticker=FFAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "FFAI", "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-diluted&ticker=FFAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();