Goldman Sachs (GS) Professional Fees (2009 - 2026)
Goldman Sachs' Professional Fees was $424 million in Q3 2026, down 1.9% from $432 million a year earlier but up 14.0% from the prior quarter.
Powered by 
Analysis
Goldman Sachs (GS) Professional Fees (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Goldman Sachs' Professional Fees was $1.65 billion through Sep 30, 2026, down 6.9% year-over-year; for FY2025, it was $1.77 billion, up 7.1% from FY2024.
- Professional Fees shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier years, Professional Fees was $1.65 billion in FY2024 (+1.8%), $1.62 billion in FY2023 (-14.0%), $1.89 billion in FY2022 (+14.5%) and $1.65 billion in FY2021 (+26.2%).
- Quarterly Professional Fees has moved between $372 million (Q2 2026) and $511 million (Q4 2021) over five years.
- Compared with a year earlier, Professional Fees has declined for four straight quarters, with growth averaging 0.4% over the last eight quarters.
- The best year-over-year quarter for Professional Fees over five years was Q4 2021 (growth of 46.0%); the worst was Q2 2023 (a decline of 20.0%).
- Per Business Quant data, GS's Professional Fees in the three quarters before Q3 2026 was $372 million (Q2 2026), $379 million (Q1 2026) and $474 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 424.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.17 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 424.00 Mn |
| Jun 30, 2026 | 372.00 Mn |
| Mar 31, 2026 | 379.00 Mn |
| Dec 31, 2025 | 474.00 Mn |
| Sep 30, 2025 | 432.00 Mn |
| Jun 30, 2025 | 440.00 Mn |
| Mar 31, 2025 | 424.00 Mn |
| Dec 31, 2024 | 475.00 Mn |
| Sep 30, 2024 | 400.00 Mn |
| Jun 30, 2024 | 393.00 Mn |
| Mar 31, 2024 | 384.00 Mn |
| Dec 31, 2023 | 471.00 Mn |
| Sep 30, 2023 | 377.00 Mn |
| Jun 30, 2023 | 392.00 Mn |
| Mar 31, 2023 | 383.00 Mn |
| Dec 31, 2022 | 495.00 Mn |
| Sep 30, 2022 | 465.00 Mn |
| Jun 30, 2022 | 490.00 Mn |
| Mar 31, 2022 | 437.00 Mn |
| Dec 31, 2021 | 511.00 Mn |
API Access
Goldman Sachs Professional Fees 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=professional-fees&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();