Goldman Sachs (GS) Total Liabilities (2009 - 2026)
Goldman Sachs (GS) recorded Total Liabilities of $2.06 trillion in Q3 2026, up 22.2% from $1.68 trillion a year earlier and up 2.6% from the prior quarter.
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Analysis
Goldman Sachs (GS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Goldman Sachs reported Total Liabilities of $1.68 trillion, up 8.4% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.55 trillion in FY2024 (+1.9%), $1.52 trillion in FY2023 (+15.1%), $1.32 trillion in FY2022 (-2.2%) and $1.35 trillion in FY2021 (+26.9%).
- The Q3 2026 figure is the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 11.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 26.9% in Q4 2021, against a decline of 3.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2 trillion (Q2 2026), $1.94 trillion (Q1 2026) and $1.68 trillion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 2,055.50 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 2,692.98 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 2,075.41 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 274.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2,055.50 Bn |
| Jun 30, 2026 | 2,004.97 Bn |
| Mar 31, 2026 | 1,937.40 Bn |
| Dec 31, 2025 | 1,684.35 Bn |
| Sep 30, 2025 | 1,683.58 Bn |
| Jun 30, 2025 | 1,660.91 Bn |
| Mar 31, 2025 | 1,641.88 Bn |
| Dec 31, 2024 | 1,553.98 Bn |
| Sep 30, 2024 | 1,606.88 Bn |
| Jun 30, 2024 | 1,533.85 Bn |
| Mar 31, 2024 | 1,579.89 Bn |
| Dec 31, 2023 | 1,524.69 Bn |
| Sep 30, 2023 | 1,459.88 Bn |
| Jun 30, 2023 | 1,454.89 Bn |
| Mar 31, 2023 | 1,420.84 Bn |
| Dec 31, 2022 | 1,324.61 Bn |
| Sep 30, 2022 | 1,436.70 Bn |
| Jun 30, 2022 | 1,483.35 Bn |
| Mar 31, 2022 | 1,474.20 Bn |
| Dec 31, 2021 | 1,354.06 Bn |
API Access
Goldman Sachs Total Liabilities 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=total-liabilities&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();