Royal Bank Of Canada (RY) Occupancy Expense (2009 - 2026)
Royal Bank Of Canada (RY) reported Occupancy Expense of $316.29 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 6.0% from $298.39 million a year earlier but down 3.0% from the prior quarter.
Royal Bank Of Canada (RY) Occupancy Expense (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Royal Bank Of Canada's Occupancy Expense came in at $1.24 billion, down 2.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.2 billion, down 9.6% from FY2024.
- Occupancy Expense has a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- By fiscal year, Occupancy Expense came in at $1.33 billion in FY2024 (+10.5%), $1.2 billion in FY2023 (-0.6%), $1.21 billion in FY2022 (-4.1%) and $1.26 billion in FY2021 (+2.0%).
- Five-year quarterly Occupancy Expense spans a low of $295.74 million in fiscal Q4 2023 and a high of $376.4 million in fiscal Q4 2024.
- Year over year, Occupancy Expense has now increased in each of the last three quarters, with growth averaging 0.7% over the last eight quarters.
- The high point for year-over-year Occupancy Expense in five years was fiscal Q4 2024 (growth of 27.3%); the low point was fiscal Q4 2025 (a decline of 21.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $326.09 million (Q2 2026), $302.64 million (Q1 2026) and $297 million (Q4 2025).
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 | American Express | 217.14 Bn | 16.62 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 316.29 Mn |
| Apr 30, 2026 | 326.09 Mn |
| Jan 31, 2026 | 302.64 Mn |
| Oct 31, 2025 | 297.00 Mn |
| Jul 31, 2025 | 298.39 Mn |
| Apr 30, 2025 | 300.77 Mn |
| Jan 31, 2025 | 302.20 Mn |
| Oct 31, 2024 | 376.40 Mn |
| Jul 31, 2024 | 323.53 Mn |
| Apr 30, 2024 | 325.25 Mn |
| Jan 31, 2024 | 301.07 Mn |
| Oct 31, 2023 | 295.74 Mn |
| Jul 31, 2023 | 306.42 Mn |
| Apr 30, 2023 | 299.31 Mn |
| Jan 31, 2023 | 299.52 Mn |
| Oct 31, 2022 | 301.91 Mn |
| Jul 31, 2022 | 296.24 Mn |
| Apr 30, 2022 | 304.77 Mn |
| Jan 31, 2022 | 304.97 Mn |
| Oct 31, 2021 | 312.61 Mn |
Royal Bank Of Canada 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=RY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "RY", "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=RY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();