Goldman Sachs (GS) Other Operating Expenses (2009 - 2026)
Goldman Sachs' Other Operating Expenses came in at $635 million for Q2 2026, up 3.8% from $612 million a year earlier and up 5.5% from the prior quarter.
Powered by 
Analysis
Goldman Sachs (GS) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Goldman Sachs reported Other Operating Expenses of $2.9 billion, up 17.2% year-over-year; for FY2025, it came in at $2.85 billion, up 6.3% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $2.68 billion in FY2024 (-16.4%), $3.21 billion in FY2023 (+18.2%), $2.72 billion in FY2022 (-0.8%) and $2.74 billion in FY2021 (-51.2%).
- The five-year range for quarterly Other Operating Expenses is $542 million (Q3 2021) to $1.23 billion (Q4 2023).
- Year-over-year, Other Operating Expenses has increased for four consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2023 (growth of 72.8%), and the weakest in Q4 2024 (a decline of 42.1%).
- Business Quant data shows GS's Other Operating Expenses at $602 million (Q1 2026), $778 million (Q4 2025) and $884 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - |
| 10 | American Express | 210.06 Bn | 9.55 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 757.00 Mn |
| Mar 31, 2026 | 788.00 Mn |
| Dec 31, 2025 | 994.00 Mn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 779.00 Mn |
| Mar 31, 2025 | 733.00 Mn |
| Dec 31, 2024 | 894.00 Mn |
| Sep 30, 2024 | 731.00 Mn |
| Jun 30, 2024 | 856.00 Mn |
| Mar 31, 2024 | 848.00 Mn |
| Dec 31, 2023 | 1.41 Bn |
| Sep 30, 2023 | 790.00 Mn |
| Jun 30, 2023 | 819.00 Mn |
| Mar 31, 2023 | 823.00 Mn |
| Dec 31, 2022 | 929.00 Mn |
| Sep 30, 2022 | 936.00 Mn |
| Jun 30, 2022 | 878.00 Mn |
| Mar 31, 2022 | 785.00 Mn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 707.00 Mn |
API Access
Goldman Sachs Other Operating 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=other-operating-expenses&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();