Ford Motor (F) Shares Outstanding (2009 - 2026)
Ford Motor (F) recorded Weighted Average Shares Outstanding of 3.99 billion in Q3 2026, up 0.1% from 3.98 billion a year earlier and unchanged from the prior quarter.
Ford Motor (F) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Ford Motor reported Weighted Average Shares Outstanding of 3.98 billion, unchanged from FY2024.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 3.98 billion in FY2024 (-0.5%), 4 billion in FY2023 (-0.4%), 4.01 billion in FY2022 (+0.6%) and 3.99 billion in FY2021 (+0.5%).
- Quarterly Weighted Average Shares Outstanding has ranged from 3.97 billion in Q1 2025 to 4.02 billion in Q3 2022 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for three consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 0.7% in Q2 2022, against a decline of 0.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 3.99 billion (Q2 2026), 3.99 billion (Q1 2026) and 3.98 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 3.24 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 178.13 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 872.00 Mn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 3.99 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 | 281.70 Mn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 1.01 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 2.89 Bn |
| 10 | Xpeng | 9.64 Bn | 9.64 Bn | 599.70 Mn | 951.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.99 Bn |
| Jun 30, 2026 | 3.99 Bn |
| Mar 31, 2026 | 3.99 Bn |
| Dec 31, 2025 | 3.98 Bn |
| Sep 30, 2025 | 3.98 Bn |
| Jun 30, 2025 | 3.98 Bn |
| Mar 31, 2025 | 3.97 Bn |
| Dec 31, 2024 | 3.98 Bn |
| Sep 30, 2024 | 3.98 Bn |
| Jun 30, 2024 | 3.99 Bn |
| Mar 31, 2024 | 3.98 Bn |
| Dec 31, 2023 | 4.00 Bn |
| Sep 30, 2023 | 4.00 Bn |
| Jun 30, 2023 | 4.00 Bn |
| Mar 31, 2023 | 3.99 Bn |
| Dec 31, 2022 | 4.01 Bn |
| Sep 30, 2022 | 4.02 Bn |
| Jun 30, 2022 | 4.02 Bn |
| Mar 31, 2022 | 4.01 Bn |
| Dec 31, 2021 | 3.99 Bn |
Ford Motor 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=F&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "F", "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=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();