Goldman Sachs (GS) Interest Expense - Fed Funds (2013 - 2026)
Goldman Sachs (GS) posted Interest Expense - Fed Funds of $4.58 billion for Q2 2026, up 9.8% from $4.17 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Goldman Sachs (GS) Interest Expense - Fed Funds (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expense - Fed Funds at Goldman Sachs was $17.73 billion, up 2.9% year-over-year; for FY2025, it came in at $17.01 billion, down 2.0% from FY2024.
- Annual Interest Expense - Fed Funds shows a three-year compound annual growth rate of 82.3% (FY2022 to FY2025).
- In prior years, Goldman Sachs' Interest Expense - Fed Funds was $17.36 billion in FY2024 (+36.7%), $12.71 billion in FY2023 (+352.5%) and $2.81 billion in FY2022.
- The Q2 2026 figure stands as the highest quarterly Interest Expense - Fed Funds in data going back to Q3 2013.
- On a year-over-year basis, Interest Expense - Fed Funds increased in four of the last eight quarters, with growth averaging 6.8%.
- The strongest year-over-year quarter for Interest Expense - Fed Funds in the past five years was Q3 2023, with growth of 267.2%; the weakest was Q3 2025, with a decline of 3.4%.
- According to Business Quant data, Interest Expense - Fed Funds for the three prior quarters was $4.51 billion (Q1 2026), $4.34 billion (Q4 2025) and $4.3 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.58 Bn |
| Mar 31, 2026 | 4.51 Bn |
| Dec 31, 2025 | 4.34 Bn |
| Sep 30, 2025 | 4.30 Bn |
| Jun 30, 2025 | 4.17 Bn |
| Mar 31, 2025 | 4.20 Bn |
| Dec 31, 2024 | 4.40 Bn |
| Sep 30, 2024 | 4.45 Bn |
| Jun 30, 2024 | 4.31 Bn |
| Mar 31, 2024 | 4.21 Bn |
| Dec 31, 2023 | 3.57 Bn |
| Sep 30, 2023 | 3.64 Bn |
| Jun 30, 2023 | 3.14 Bn |
| Mar 31, 2023 | 2.36 Bn |
| Dec 31, 2022 | 1.50 Bn |
| Sep 30, 2022 | 990.00 Mn |
| Sep 30, 2020 | 50.00 Mn |
| Jun 30, 2020 | 72.00 Mn |
| Mar 31, 2020 | 448.00 Mn |
| Dec 31, 2019 | 528.00 Mn |
API Access
Goldman Sachs Interest Expense - Fed Funds 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-expense-fed-funds&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "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-expense-fed-funds&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();