Goldman Sachs (GS) Shares Outstanding (2009 - 2026)
Goldman Sachs (GS) posted Shares Outstanding of 300.1 million for Q2 2026, down 4.3% from 313.7 million a year earlier and down 1.2% from the prior quarter.
Goldman Sachs (GS) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Goldman Sachs' Shares Outstanding came in at 312.7 million, down 4.7% from FY2024.
- Annual Shares Outstanding has declined for three consecutive years, with a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Goldman Sachs' Shares Outstanding was 328.1 million in FY2024 (-3.7%), 340.8 million in FY2023 (-3.2%), 352.1 million in FY2022 (+0.5%) and 350.5 million in FY2021 (-1.7%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding in data going back to Q1 2009.
- On a year-over-year basis, Shares Outstanding has declined in each of the last 14 quarters, with an average decline of 4.5% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q3 2022, with growth of 1.3%; the weakest was Q1 2026, with a decline of 5.3%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 303.8 million (Q1 2026), 312.7 million (Q4 2025) and 309.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | - | 7.15 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 1.55 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 | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 3.04 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 678.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300.10 Mn |
| Mar 31, 2026 | 303.80 Mn |
| Dec 31, 2025 | 312.70 Mn |
| Sep 30, 2025 | 309.60 Mn |
| Jun 30, 2025 | 313.70 Mn |
| Mar 31, 2025 | 320.80 Mn |
| Dec 31, 2024 | 328.10 Mn |
| Sep 30, 2024 | 324.80 Mn |
| Jun 30, 2024 | 329.80 Mn |
| Mar 31, 2024 | 335.60 Mn |
| Dec 31, 2023 | 340.80 Mn |
| Sep 30, 2023 | 338.70 Mn |
| Jun 30, 2023 | 342.30 Mn |
| Mar 31, 2023 | 346.60 Mn |
| Dec 31, 2022 | 352.10 Mn |
| Sep 30, 2022 | 352.80 Mn |
| Jun 30, 2022 | 355.00 Mn |
| Mar 31, 2022 | 351.20 Mn |
| Dec 31, 2021 | 350.50 Mn |
| Sep 30, 2021 | 348.30 Mn |
Goldman Sachs 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=GS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();