Raymond James Financial (RJF) Occupancy Expense (2009 - 2026)
Raymond James Financial's Occupancy Expense was $87 million in fiscal Q4 2026 (quarter ended Sep 30, 2026), up 3.6% from $84 million a year earlier and up 2.4% from the prior quarter.
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Analysis
Raymond James Financial (RJF) Occupancy Expense (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Occupancy Expense at Raymond James Financial came in at $332 million, up 7.8% from FY2025.
- Occupancy Expense has now increased for 17 consecutive fiscal years, with a five-year compound annual growth rate of 7.4% (FY2021 to FY2026).
- In earlier fiscal years, Occupancy Expense was $308 million in FY2025 (+4.1%), $296 million in FY2024 (+9.2%), $271 million in FY2023 (+7.5%) and $252 million in FY2022 (+8.6%).
- The fiscal Q4 2026 figure marks the highest quarterly Occupancy Expense in data going back to fiscal Q3 2009.
- Compared with a year earlier, Occupancy Expense has increased for 23 straight quarters, with growth averaging 6.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Occupancy Expense ranged from 1.4% (fiscal Q2 2025) to 12.1% (fiscal Q3 2022).
- Per Business Quant data, RJF's Occupancy Expense in the three fiscal quarters before Q4 2026 was $85 million (Q3 2026), $80 million (Q2 2026) and $80 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Raymond James Financial | 32.28 Bn | 32.28 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 87.00 Mn |
| Jun 30, 2026 | 85.00 Mn |
| Mar 31, 2026 | 80.00 Mn |
| Dec 31, 2025 | 80.00 Mn |
| Sep 30, 2025 | 84.00 Mn |
| Jun 30, 2025 | 77.00 Mn |
| Mar 31, 2025 | 74.00 Mn |
| Dec 31, 2024 | 73.00 Mn |
| Sep 30, 2024 | 76.00 Mn |
| Jun 30, 2024 | 75.00 Mn |
| Mar 31, 2024 | 73.00 Mn |
| Dec 31, 2023 | 72.00 Mn |
| Sep 30, 2023 | 69.00 Mn |
| Jun 30, 2023 | 68.00 Mn |
| Mar 31, 2023 | 68.00 Mn |
| Dec 31, 2022 | 66.00 Mn |
| Sep 30, 2022 | 66.00 Mn |
| Jun 30, 2022 | 65.00 Mn |
| Mar 31, 2022 | 62.00 Mn |
| Dec 31, 2021 | 59.00 Mn |
API Access
Raymond James Financial Occupancy Expense 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=occupancy-expense&ticker=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();