Raymond James Financial (RJF) Operating Expenses (2009 - 2026)
Raymond James Financial (RJF) reported Operating Expenses of $3.18 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.1% from $2.84 billion a year earlier and up 1.7% from the prior quarter.
Raymond James Financial (RJF) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Raymond James Financial's Operating Expenses came in at $12.31 billion, up 11.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $11.35 billion, up 11.5% from FY2024.
- Operating Expenses has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $10.18 billion in FY2024 (+9.0%), $9.34 billion in FY2023 (+4.0%), $8.98 billion in FY2022 (+12.7%) and $7.97 billion in FY2021 (+14.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q3 2009.
- Year over year, Operating Expenses has now increased in each of the last 14 quarters, with growth averaging 11.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2022 (growth of 21.9%); the low point was fiscal Q1 2023 (a decline of 4.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3.12 billion (Q2 2026), $3.01 billion (Q1 2026) and $3 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Raymond James Financial | 30.72 Bn | -17.80 Bn | - | 3.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.18 Bn |
| Mar 31, 2026 | 3.12 Bn |
| Dec 31, 2025 | 3.01 Bn |
| Sep 30, 2025 | 3.00 Bn |
| Jun 30, 2025 | 2.84 Bn |
| Mar 31, 2025 | 2.73 Bn |
| Dec 31, 2024 | 2.79 Bn |
| Sep 30, 2024 | 2.70 Bn |
| Jun 30, 2024 | 2.58 Bn |
| Mar 31, 2024 | 2.51 Bn |
| Dec 31, 2023 | 2.38 Bn |
| Sep 30, 2023 | 2.47 Bn |
| Jun 30, 2023 | 2.42 Bn |
| Mar 31, 2023 | 2.32 Bn |
| Dec 31, 2022 | 2.13 Bn |
| Sep 30, 2022 | 2.22 Bn |
| Jun 30, 2022 | 2.30 Bn |
| Mar 31, 2022 | 2.24 Bn |
| Dec 31, 2021 | 2.22 Bn |
| Sep 30, 2021 | 2.14 Bn |
Raymond James Financial 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=operating-expenses&ticker=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();