General Motors (GM) Shares Outstanding (Diluted) (2010 - 2026)
General Motors (GM) recorded Weighted Average Shares Outstanding (Diluted) of 887 million in Q3 2026, down 8.0% from 964 million a year earlier and down 2.5% from the prior quarter.
General Motors (GM) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, General Motors reported Weighted Average Shares Outstanding (Diluted) of 973 million, down 13.8% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has declined for four straight years, with a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 1.13 billion in FY2024 (-17.5%), 1.37 billion in FY2023 (-5.8%), 1.45 billion in FY2022 (-1.0%) and 1.47 billion in FY2021 (+1.8%).
- The Q3 2026 figure is the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined for 18 consecutive quarters, with an average decline of 12.1% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 1.8% in Q4 2021, against a decline of 17.9% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 910 million (Q2 2026), 926 million (Q1 2026) and 973 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,249.80 Bn | 1,072.02 Bn | 5.49 Bn | 3.54 Bn |
| 2 | General Motors | 80.83 Bn | -23.79 Bn | 9.28 Bn | 887.00 Mn |
| 3 | Ferrari | 77.00 Bn | 69.29 Bn | 1.14 Bn | 178.32 Mn |
| 4 | Ford Motor | 50.64 Bn | -83.78 Bn | 7.38 Bn | 3.99 Bn |
| 5 | Honda Motor | 47.02 Bn | -102.79 Bn | 8.46 Bn | 1.73 Bn |
| 6 | Toyota Motor | 25.29 Bn | -375.53 Bn | 20.95 Bn | 1.30 Bn |
| 7 | Rivian Automotive | 20.23 Bn | -1.49 Bn | 176.00 Mn | 1.45 Bn |
| 8 | Magna International | 18.52 Bn | 12.50 Bn | 1.63 Bn | 282.50 Mn |
| 9 | Stellantis | 13.39 Bn | -148.04 Bn | 3.94 Bn | 2.89 Bn |
| 10 | Li Auto | 11.68 Bn | -37.28 Bn | 417.98 Mn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 887.00 Mn |
| Jun 30, 2026 | 910.00 Mn |
| Mar 31, 2026 | 926.00 Mn |
| Dec 31, 2025 | 973.00 Mn |
| Sep 30, 2025 | 964.00 Mn |
| Jun 30, 2025 | 976.00 Mn |
| Mar 31, 2025 | 1.00 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.13 Bn |
| Jun 30, 2024 | 1.15 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 1.37 Bn |
| Sep 30, 2023 | 1.38 Bn |
| Jun 30, 2023 | 1.39 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 1.45 Bn |
| Sep 30, 2022 | 1.46 Bn |
| Jun 30, 2022 | 1.47 Bn |
| Mar 31, 2022 | 1.47 Bn |
| Dec 31, 2021 | 1.47 Bn |
General Motors 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=GM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GM", "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=GM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();