Goldman Sachs (GS) Assets (2009 - 2026)
Goldman Sachs (GS) recorded Assets of $2.13 trillion in Q2 2026, up 19.2% from $1.79 trillion a year earlier and up 3.3% from the prior quarter.
Analysis
Goldman Sachs (GS) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Goldman Sachs reported Assets of $1.81 trillion, up 8.0% from FY2024.
- Annual Assets has increased for three straight years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, Assets came in at $1.68 trillion in FY2024 (+2.1%), $1.64 trillion in FY2023 (+13.9%), $1.44 trillion in FY2022 (-1.5%) and $1.46 trillion in FY2021 (+25.9%).
- The Q2 2026 figure is the highest quarterly Assets in data going back to Q2 2009.
- On a year-over-year basis, Assets has increased for 12 consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 27.5% in Q3 2021, against a decline of 3.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.06 trillion (Q1 2026), $1.81 trillion (Q4 2025) and $1.81 trillion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 5,015.07 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 3,499.19 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 3,438.16 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 1,675.06 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 1,783.44 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 2,127.71 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 2,679.75 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 2,282.20 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 1,507.27 Bn |
| 10 | American Express | 210.06 Bn | 9.55 Bn | - | 310.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,127.71 Bn |
| Mar 31, 2026 | 2,060.18 Bn |
| Dec 31, 2025 | 1,809.32 Bn |
| Sep 30, 2025 | 1,807.98 Bn |
| Jun 30, 2025 | 1,785.01 Bn |
| Mar 31, 2025 | 1,766.18 Bn |
| Dec 31, 2024 | 1,675.97 Bn |
| Sep 30, 2024 | 1,728.08 Bn |
| Jun 30, 2024 | 1,653.31 Bn |
| Mar 31, 2024 | 1,698.44 Bn |
| Dec 31, 2023 | 1,641.59 Bn |
| Sep 30, 2023 | 1,577.15 Bn |
| Jun 30, 2023 | 1,571.39 Bn |
| Mar 31, 2023 | 1,538.35 Bn |
| Dec 31, 2022 | 1,441.80 Bn |
| Sep 30, 2022 | 1,555.99 Bn |
| Jun 30, 2022 | 1,601.22 Bn |
| Mar 31, 2022 | 1,589.44 Bn |
| Dec 31, 2021 | 1,463.99 Bn |
| Sep 30, 2021 | 1,443.23 Bn |
API Access
Goldman Sachs Assets 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=assets&ticker=GS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();