Royal Bank Of Canada (RY) EV to EBITDA (2009 - 2026)
Royal Bank Of Canada's EV to EBITDA was 0.94 in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 636.3% from 0.13 a year earlier and up 88.8% from the prior quarter.
Royal Bank Of Canada (RY) EV to EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Royal Bank Of Canada's EV to EBITDA was -7.44 through Jul 31, 2026; for FY2025 (ended Oct 31, 2025), it was 0.32.
- In earlier fiscal years, EV to EBITDA was -0.02 in FY2024, -1.16 in FY2023, -1.07 in FY2022 and -2.27 in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly EV to EBITDA since fiscal Q2 2025.
- Per Business Quant data, RY's EV to EBITDA in the three fiscal quarters before Q3 2026 was 0.50 (Q2 2026), 0.40 (Q1 2026) and 0.32 (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 | 0.94 |
| Apr 30, 2026 | 0.50 |
| Jan 31, 2026 | 0.40 |
| Oct 31, 2025 | 0.32 |
| Jul 31, 2025 | 0.13 |
| Apr 30, 2025 | 1.91 |
| Jan 31, 2025 | -0.10 |
| Oct 31, 2024 | -0.02 |
| Jul 31, 2024 | -0.19 |
| Apr 30, 2024 | -0.53 |
| Jan 31, 2024 | 1.27 |
| Oct 31, 2023 | -1.16 |
| Jul 31, 2023 | -1.03 |
| Apr 30, 2023 | -0.76 |
| Jan 31, 2023 | -0.80 |
| Oct 31, 2022 | -1.07 |
| Jul 31, 2022 | -1.54 |
| Apr 30, 2022 | -2.28 |
| Jan 31, 2022 | -2.26 |
| Oct 31, 2021 | -2.27 |
Royal Bank Of Canada EV to EBITDA 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=ev-to-ebitda&ticker=RY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=RY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();