Jpmorgan Chase (JPM) Professional Fees (2009 - 2026)
Jpmorgan Chase's Professional Fees came in at $3.9 billion for Q3 2026, up 22.8% from $3.17 billion a year earlier and up 1.1% from the prior quarter.
Powered by 
Analysis
Jpmorgan Chase (JPM) Professional Fees (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Jpmorgan Chase reported Professional Fees of $14.57 billion, up 21.2% year-over-year; for FY2025, it was $12.36 billion, up 11.7% from FY2024.
- Professional Fees has increased in each of the last five years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Going back by year, Professional Fees was $11.06 billion in FY2024 (+8.0%), $10.24 billion in FY2023 (+0.6%), $10.17 billion in FY2022 (+3.7%) and $9.81 billion in FY2021 (+15.9%).
- The Q3 2026 figure represents the highest quarterly Professional Fees in data going back to Q2 2010.
- Year-over-year, Professional Fees has increased for 11 consecutive quarters, with growth averaging 17.0% over the last eight quarters.
- The fastest year-over-year change in Professional Fees over five years came in Q2 2026 (growth of 28.2%), and the weakest in Q1 2023 (a decline of 4.8%).
- Business Quant data shows JPM's Professional Fees at $3.86 billion (Q2 2026), $3.48 billion (Q1 2026) and $3.34 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.90 Bn |
| Jun 30, 2026 | 3.86 Bn |
| Mar 31, 2026 | 3.48 Bn |
| Dec 31, 2025 | 3.34 Bn |
| Sep 30, 2025 | 3.17 Bn |
| Jun 30, 2025 | 3.01 Bn |
| Mar 31, 2025 | 2.84 Bn |
| Dec 31, 2024 | 3.01 Bn |
| Sep 30, 2024 | 2.78 Bn |
| Jun 30, 2024 | 2.72 Bn |
| Mar 31, 2024 | 2.55 Bn |
| Dec 31, 2023 | 2.61 Bn |
| Sep 30, 2023 | 2.62 Bn |
| Jun 30, 2023 | 2.56 Bn |
| Mar 31, 2023 | 2.45 Bn |
| Dec 31, 2022 | 2.65 Bn |
| Sep 30, 2022 | 2.48 Bn |
| Jun 30, 2022 | 2.47 Bn |
| Mar 31, 2022 | 2.57 Bn |
| Dec 31, 2021 | 2.70 Bn |
API Access
Jpmorgan Chase 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=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "JPM", "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=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();