Raymond James Financial (RJF) Professional Fees (2017 - 2026)
Raymond James Financial's Professional Fees came in at $56 million for fiscal Q4 2026 (quarter ended Sep 30, 2026), up 5.7% from $53 million a year earlier but down 11.1% from the prior quarter.
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Analysis
Raymond James Financial (RJF) Professional Fees (2017 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Raymond James Financial's Professional Fees was $192 million, up 17.8% from FY2025.
- Professional Fees has increased in each of the last nine fiscal years, with a five-year compound annual growth rate of 9.5% (FY2021 to FY2026).
- Going back by fiscal year, Professional Fees was $163 million in FY2025 (+8.7%), $150 million in FY2024 (+3.4%), $145 million in FY2023 (+10.7%) and $131 million in FY2022 (+7.4%).
- The five-year range for quarterly Professional Fees is $27 million (fiscal Q2 2022) to $63 million (fiscal Q3 2026).
- Year-over-year, Professional Fees has increased for ten consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- The fastest year-over-year change in Professional Fees over five years came in fiscal Q3 2026 (growth of 50.0%), and the weakest in fiscal Q2 2024 (a decline of 13.2%).
- Business Quant data shows RJF's Professional Fees at $63 million (Q3 2026), $36 million (Q2 2026) and $37 million (Q1 2026) in the three fiscal quarters before Q4 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 | Raymond James Financial | 32.28 Bn | 32.28 Bn | - | 56.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 56.00 Mn |
| Jun 30, 2026 | 63.00 Mn |
| Mar 31, 2026 | 36.00 Mn |
| Dec 31, 2025 | 37.00 Mn |
| Sep 30, 2025 | 53.00 Mn |
| Jun 30, 2025 | 42.00 Mn |
| Mar 31, 2025 | 34.00 Mn |
| Dec 31, 2024 | 34.00 Mn |
| Sep 30, 2024 | 47.00 Mn |
| Jun 30, 2024 | 38.00 Mn |
| Mar 31, 2024 | 33.00 Mn |
| Dec 31, 2023 | 32.00 Mn |
| Sep 30, 2023 | 40.00 Mn |
| Jun 30, 2023 | 35.00 Mn |
| Mar 31, 2023 | 38.00 Mn |
| Dec 31, 2022 | 32.00 Mn |
| Sep 30, 2022 | 38.00 Mn |
| Jun 30, 2022 | 38.00 Mn |
| Mar 31, 2022 | 27.00 Mn |
| Dec 31, 2021 | 28.00 Mn |
API Access
Raymond James Financial 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=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "RJF", "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=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();