Royal Bank Of Canada (RY) Equipment Expense (2009 - 2026)
Royal Bank Of Canada's Equipment Expense came in at $540.77 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 8.6% from $497.81 million a year earlier and up 1.1% from the prior quarter.
Royal Bank Of Canada (RY) Equipment Expense (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Royal Bank Of Canada reported Equipment Expense of $2.12 billion, up 7.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.99 billion, up 6.9% from FY2024.
- Equipment Expense has increased in each of the last ten fiscal years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by fiscal year, Equipment Expense was $1.86 billion in FY2024 (+5.6%), $1.77 billion in FY2023 (+8.2%), $1.63 billion in FY2022 (+3.3%) and $1.58 billion in FY2021 (+11.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Equipment Expense in data going back to fiscal Q1 2009.
- Year-over-year, Equipment Expense has increased for 16 consecutive quarters, with growth averaging 7.9% over the last eight quarters.
- The fastest year-over-year change in Equipment Expense over five years came in fiscal Q3 2023 (growth of 14.5%), and the weakest in fiscal Q3 2022 (a decline of 0.2%).
- Business Quant data shows RY's Equipment Expense at $534.73 million (Q2 2026), $524.57 million (Q1 2026) and $519.75 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Equipment Expense (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 | - | 540.77 Mn |
| 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 | 540.77 Mn |
| Apr 30, 2026 | 534.73 Mn |
| Jan 31, 2026 | 524.57 Mn |
| Oct 31, 2025 | 519.75 Mn |
| Jul 31, 2025 | 497.81 Mn |
| Apr 30, 2025 | 494.72 Mn |
| Jan 31, 2025 | 479.71 Mn |
| Oct 31, 2024 | 493.56 Mn |
| Jul 31, 2024 | 459.37 Mn |
| Apr 30, 2024 | 453.57 Mn |
| Jan 31, 2024 | 457.89 Mn |
| Oct 31, 2023 | 451.35 Mn |
| Jul 31, 2023 | 457.76 Mn |
| Apr 30, 2023 | 435.30 Mn |
| Jan 31, 2023 | 421.85 Mn |
| Oct 31, 2022 | 429.90 Mn |
| Jul 31, 2022 | 399.65 Mn |
| Apr 30, 2022 | 405.04 Mn |
| Jan 31, 2022 | 395.83 Mn |
| Oct 31, 2021 | 408.86 Mn |
Royal Bank Of Canada Equipment 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=equipment-expense&ticker=RY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-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=equipment-expense&ticker=RY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();