Royal Bank Of Canada (RY) Tax Provisions (2009 - 2026)
Royal Bank Of Canada's Tax Provisions was $1.24 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 16.6% from $1.06 billion a year earlier and up 6.3% from the prior quarter.
Royal Bank Of Canada (RY) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Royal Bank Of Canada's Tax Provisions was $4.57 billion through Jul 31, 2026, up 30.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $3.77 billion, up 41.7% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- In earlier fiscal years, Tax Provisions was $2.66 billion in FY2024 (+0.5%), $2.65 billion in FY2023 (-20.8%), $3.34 billion in FY2022 (-8.2%) and $3.64 billion in FY2021 (+65.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Tax Provisions since fiscal Q1 2023.
- Compared with a year earlier, Tax Provisions has increased for seven straight quarters, with growth averaging 37.8% over the last seven quarters.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q3 2025 (growth of 63.8%); the worst was fiscal Q1 2024 (a decline of 63.7%).
- Per Business Quant data, RY's Tax Provisions in the three fiscal quarters before Q3 2026 was $1.16 billion (Q2 2026), $1.17 billion (Q1 2026) and $1 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | 961.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.24 Bn |
| Apr 30, 2026 | 1.16 Bn |
| Jan 31, 2026 | 1.17 Bn |
| Oct 31, 2025 | 1.00 Bn |
| Jul 31, 2025 | 1.06 Bn |
| Apr 30, 2025 | 792.68 Mn |
| Jan 31, 2025 | 917.16 Mn |
| Oct 31, 2024 | 727.16 Mn |
| Jul 31, 2024 | 647.79 Mn |
| Apr 30, 2024 | 719.82 Mn |
| Jan 31, 2024 | 566.63 Mn |
| Oct 31, 2023 | -24.34 Mn |
| Jul 31, 2023 | 551.41 Mn |
| Apr 30, 2023 | 565.37 Mn |
| Jan 31, 2023 | 1.56 Bn |
| Oct 31, 2022 | 737.08 Mn |
| Jul 31, 2022 | 761.20 Mn |
| Apr 30, 2022 | 832.98 Mn |
| Jan 31, 2022 | 1.02 Bn |
| Oct 31, 2021 | 871.80 Mn |
Royal Bank Of Canada Tax Provisions 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=tax-provisions&ticker=RY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();