Royal Bank Of Canada (RY) Provision for Losses (2009 - 2026)
Royal Bank Of Canada (RY) posted Provision for Losses of $717.2 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 11.9% from $641.18 million a year earlier and up 7.8% from the prior quarter.
Royal Bank Of Canada (RY) Provision for Losses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Provision for Losses at Royal Bank Of Canada was $2.89 billion, down 3.4% year-over-year; for FY2025 (ended Oct 31, 2025), it was $3.12 billion, up 31.2% from FY2024.
- Annual Provision for Losses has increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior fiscal years, Royal Bank Of Canada's Provision for Losses was $2.38 billion in FY2024 (+29.8%), $1.83 billion in FY2023 (+386.5%), $376.28 million in FY2022 and -$598.83 million in FY2021.
- Quarterly Provision for Losses has run from a low of -$270.03 million in fiscal Q2 2022 to a high of $1 billion in fiscal Q2 2025 over five years.
- On a year-over-year basis, Provision for Losses increased in seven of the last eight quarters, with growth averaging 15.3%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was fiscal Q1 2023, with growth of 375.4%; the weakest was fiscal Q2 2026, with a decline of 33.5%.
- According to Business Quant data, Provision for Losses for the three prior fiscal quarters was $665.31 million (Q2 2026), $785.42 million (Q1 2026) and $725.93 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 1.40 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 717.20 Mn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | - |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 985.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 717.20 Mn |
| Apr 30, 2026 | 665.31 Mn |
| Jan 31, 2026 | 785.42 Mn |
| Oct 31, 2025 | 725.93 Mn |
| Jul 31, 2025 | 641.18 Mn |
| Apr 30, 2025 | 1.00 Bn |
| Jan 31, 2025 | 739.65 Mn |
| Oct 31, 2024 | 615.12 Mn |
| Jul 31, 2024 | 481.28 Mn |
| Apr 30, 2024 | 678.52 Mn |
| Jan 31, 2024 | 601.39 Mn |
| Oct 31, 2023 | 531.00 Mn |
| Jul 31, 2023 | 461.51 Mn |
| Apr 30, 2023 | 443.43 Mn |
| Jan 31, 2023 | 394.42 Mn |
| Oct 31, 2022 | 286.85 Mn |
| Jul 31, 2022 | 264.36 Mn |
| Apr 30, 2022 | -270.03 Mn |
| Jan 31, 2022 | 82.96 Mn |
| Oct 31, 2021 | -180.56 Mn |
Royal Bank Of Canada Provision for Losses 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=provision-for-losses&ticker=RY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=RY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();