Goldman Sachs (GS) Non Operating Interest Expenses (2013 - 2025)
Goldman Sachs (GS) reported Non Operating Interest Expenses of $16.67 billion for Q4 2025, down 5.3% from $17.61 billion a year earlier and down 1.8% from the prior quarter.
Goldman Sachs (GS) Non Operating Interest Expenses (2013 - 2025) Analysis & Trends
For FY2025, Goldman Sachs posted Non Operating Interest Expenses of $66.81 billion, down 8.9% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 49.5% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $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%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $1.22 billion in Q4 2021 and a high of $19.1 billion in Q3 2024.
- Year over year, Non Operating Interest Expenses has now declined in each of the last four quarters, with growth averaging 5.2% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2023 (growth of 850.0%); the low point was Q1 2021 (a decline of 54.3%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $16.97 billion (Q3 2025), $16.69 billion (Q2 2025) and $16.49 billion (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 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 | - | - |
| 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 | - | 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 | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 1.31 Bn |
| Mar 31, 2021 | 1.57 Bn |
Goldman Sachs Non Operating 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=non-operating-interest-expenses&ticker=GS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();