Goldman Sachs (GS) Interest Expenses (2013 - 2026)
Goldman Sachs' Interest Expenses was $18.09 billion in Q2 2026, up 8.4% from $16.69 billion a year earlier and up 5.9% from the prior quarter.
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Analysis
Goldman Sachs (GS) Interest Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Goldman Sachs' Interest Expenses was $68.82 billion through Jun 30, 2026, down 1.5% year-over-year; for FY2025, it was $66.81 billion, down 8.9% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 49.5% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $73.34 billion in FY2024 (+18.0%), $62.16 billion in FY2023 (+191.2%), $21.35 billion in FY2022 (+277.8%) and $5.65 billion in FY2021 (-36.8%).
- The Q2 2026 figure marks the highest quarterly Interest Expenses since Q3 2024.
- Compared with a year earlier, Interest Expenses was higher in four of the last eight quarters, with an average decline of 0.8%.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2023 (growth of 850.0%); the worst was Q4 2021 (a decline of 22.3%).
- Per Business Quant data, GS's Interest Expenses in the three quarters before Q2 2026 was $17.08 billion (Q1 2026), $16.67 billion (Q4 2025) and $16.97 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 10.97 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 1.96 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.09 Bn |
| Mar 31, 2026 | 17.08 Bn |
| Dec 31, 2025 | 16.67 Bn |
| Sep 30, 2025 | 16.97 Bn |
| Jun 30, 2025 | 16.69 Bn |
| Mar 31, 2025 | 16.49 Bn |
| Dec 31, 2024 | 17.61 Bn |
| Sep 30, 2024 | 19.10 Bn |
| Jun 30, 2024 | 18.45 Bn |
| Mar 31, 2024 | 18.18 Bn |
| Dec 31, 2023 | 17.15 Bn |
| Sep 30, 2023 | 16.71 Bn |
| Jun 30, 2023 | 15.15 Bn |
| Mar 31, 2023 | 13.16 Bn |
| Dec 31, 2022 | 10.34 Bn |
| Sep 30, 2022 | 6.51 Bn |
| Jun 30, 2022 | 3.12 Bn |
| Mar 31, 2022 | 1.39 Bn |
| Dec 31, 2021 | 1.22 Bn |
| Sep 30, 2021 | 1.55 Bn |
API Access
Goldman Sachs Interest Expenses 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=interest-expenses&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();