Goldman Sachs (GS) Shares Outstanding (Diluted) (2009 - 2026)
Goldman Sachs' Shares Outstanding (Diluted) was 304.9 million in Q2 2026, down 4.2% from 318.3 million a year earlier and down 1.0% from the prior quarter.
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Analysis
Goldman Sachs (GS) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Goldman Sachs came in at 317.6 million, down 4.8% from FY2024.
- Shares Outstanding (Diluted) has now declined for three consecutive years, with a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 333.6 million in FY2024 (-3.5%), 345.8 million in FY2023 (-3.4%), 358.1 million in FY2022 (+0.6%) and 355.8 million in FY2021 (-1.2%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 14 straight quarters, with an average decline of 4.5% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2022 (growth of 1.5%); the worst was Q2 2025 (a decline of 5.1%).
- Per Business Quant data, GS's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 308 million (Q1 2026), 317.6 million (Q4 2025) and 315 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 3.07 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 679.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 304.90 Mn |
| Mar 31, 2026 | 308.00 Mn |
| Dec 31, 2025 | 317.60 Mn |
| Sep 30, 2025 | 315.00 Mn |
| Jun 30, 2025 | 318.30 Mn |
| Mar 31, 2025 | 324.50 Mn |
| Dec 31, 2024 | 333.60 Mn |
| Sep 30, 2024 | 330.80 Mn |
| Jun 30, 2024 | 335.50 Mn |
| Mar 31, 2024 | 339.50 Mn |
| Dec 31, 2023 | 345.80 Mn |
| Sep 30, 2023 | 343.90 Mn |
| Jun 30, 2023 | 347.20 Mn |
| Mar 31, 2023 | 351.30 Mn |
| Dec 31, 2022 | 358.10 Mn |
| Sep 30, 2022 | 359.20 Mn |
| Jun 30, 2022 | 360.50 Mn |
| Mar 31, 2022 | 355.90 Mn |
| Dec 31, 2021 | 355.80 Mn |
| Sep 30, 2021 | 353.90 Mn |
API Access
Goldman Sachs 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=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GS", "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=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();