Goldman Sachs (GS) Securities (2023 - 2026)
Goldman Sachs (GS) posted Securities of $10.12 billion for Q2 2026, down 10.3% from $11.28 billion a year earlier and down 2.0% from the prior quarter.
Goldman Sachs (GS) Securities (2023 - 2026) Analysis & Trends
At the end of FY2025, Goldman Sachs' Securities came in at $11.07 billion, down 3.3% from FY2024.
- In prior years, Goldman Sachs' Securities was $11.45 billion in FY2024 (-11.1%) and $12.88 billion in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Securities in data going back to Q4 2023.
- On a year-over-year basis, Securities has declined in each of the last three quarters, with an average decline of 7.5% over the last four quarters.
- According to Business Quant data, Securities for the three prior quarters was $10.32 billion (Q1 2026), $11.07 billion (Q4 2025) and $11.1 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 869.22 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 105.03 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 461.18 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 10.12 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 544.29 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | - |
| 10 | American Express | 210.06 Bn | 9.55 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.12 Bn |
| Mar 31, 2026 | 10.32 Bn |
| Dec 31, 2025 | 11.07 Bn |
| Sep 30, 2025 | 11.10 Bn |
| Jun 30, 2025 | 11.28 Bn |
| Mar 31, 2025 | 10.89 Bn |
| Dec 31, 2024 | 11.45 Bn |
| Dec 31, 2023 | 12.88 Bn |
Goldman Sachs Securities 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=securities&ticker=GS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities", "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=securities&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();