Goldman Sachs (GS) Securities - Tradable (2023 - 2026)
Goldman Sachs' Securities - Tradable was $155.64 billion in Q2 2026, up 50.5% from $103.41 billion a year earlier and up 13.6% from the prior quarter.
Goldman Sachs (GS) Securities - Tradable (2023 - 2026) Analysis & Trends
At the end of FY2025, Securities - Tradable at Goldman Sachs came in at $99.24 billion, up 24.9% from FY2024.
- In earlier years, Securities - Tradable was $79.46 billion in FY2024 (+61.7%) and $49.14 billion in FY2023.
- The Q2 2026 figure marks the highest quarterly Securities - Tradable in data going back to Q4 2023.
- Compared with a year earlier, Securities - Tradable has increased for three straight quarters, with growth averaging 47.1% over the last four quarters.
- Per Business Quant data, GS's Securities - Tradable in the three quarters before Q2 2026 was $137.01 billion (Q1 2026), $99.24 billion (Q4 2025) and $103.96 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.64 Bn |
| Mar 31, 2026 | 137.01 Bn |
| Dec 31, 2025 | 99.24 Bn |
| Sep 30, 2025 | 103.96 Bn |
| Jun 30, 2025 | 103.41 Bn |
| Mar 31, 2025 | 90.67 Bn |
| Dec 31, 2024 | 79.46 Bn |
| Dec 31, 2023 | 49.14 Bn |
Goldman Sachs Securities - Tradable 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-tradable&ticker=GS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-tradable", "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-tradable&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();