Royal Bank Of Canada (RY) Return on Sales [ROS] (2009 - 2025)
Royal Bank Of Canada's Return on Sales [ROS] was 138.04% in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 6.98 percentage points from 145.02% a year earlier but up 2.71 percentage points from the prior quarter.
Royal Bank Of Canada (RY) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
On a trailing twelve-month basis, Royal Bank Of Canada's Return on Sales [ROS] was 138.56% through Jul 31, 2026, down 10.48 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 144.85%, down 24.06 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +84.58 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 168.91% in FY2024 (+13.37 pp), 155.54% in FY2023 (+77.63 pp), 77.91% in FY2022 (+20.00 pp) and 57.90% in FY2021 (-2.37 pp).
- Quarterly Return on Sales [ROS] has moved between 56.08% (fiscal Q4 2021) and 175.19% (fiscal Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for eight straight quarters, with an average year-over-year change of -16.87 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2023 (a gain of 85.43 percentage points); the worst was fiscal Q2 2025 (a drop of 26.83 percentage points).
- Per Business Quant data, RY's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was 135.33% (Q2 2026), 138.79% (Q1 2026) and 142.21% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Yr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 93.45% |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 102.71% |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 37.33% |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 144.85% |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 100.46% |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 152.13% |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 77.69% |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 42.08% |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 30.50% |
| 10 | Toronto Dominion Bank | 211.21 Bn | -464.66 Bn | - | 6.79% |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 144.85% |
| Oct 31, 2024 | 168.91% |
| Oct 31, 2023 | 155.54% |
| Oct 31, 2022 | 77.91% |
| Oct 31, 2021 | 57.90% |
| Oct 31, 2020 | 60.27% |
| Oct 31, 2019 | 81.51% |
| Oct 31, 2018 | 72.41% |
| Oct 31, 2017 | 60.09% |
| Oct 31, 2016 | 55.25% |
| Oct 31, 2015 | 58.27% |
| Oct 31, 2014 | 57.50% |
| Oct 31, 2013 | 59.44% |
| Oct 31, 2012 | 60.18% |
| Oct 31, 2011 | 67.21% |
| Oct 31, 2010 | 90.27% |
| Oct 31, 2009 | 93.00% |
Royal Bank Of Canada Return on Sales [ROS] 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=return-on-sales-%5Bros%5D-annual&ticker=RY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]-annual", "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=return-on-sales-%5Bros%5D-annual&ticker=RY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();