Royal Bank Of Canada (RY) Weighted Average Shares Outstanding (2009 - 2026)
Royal Bank Of Canada's Weighted Average Shares Outstanding came in at 1.41 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 0.2% from 1.41 billion a year earlier and unchanged from the prior quarter.
Royal Bank Of Canada (RY) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
Going back to fiscal Q1 2009, Royal Bank Of Canada's Weighted Average Shares Outstanding data covers 71 quarters.
- Weighted Average Shares Outstanding carries a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Going back by fiscal year, Weighted Average Shares Outstanding was 1.41 billion in FY2024 (+1.5%), 1.39 billion in FY2023 (-0.9%), 1.4 billion in FY2022 (-1.5%) and 1.42 billion in FY2021 (unchanged).
- The five-year range for quarterly Weighted Average Shares Outstanding is 1.39 billion (fiscal Q4 2023) to 1.42 billion (fiscal Q3 2022).
- Year-over-year, Weighted Average Shares Outstanding has declined for four consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in fiscal Q3 2025 (growth of 1.5%), and the weakest in fiscal Q4 2022 (a decline of 1.5%).
- Business Quant data shows RY's Weighted Average Shares Outstanding at 1.41 billion (Q2 2026), 1.41 billion (Q1 2026) and 1.41 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | 1.41 Bn |
| Apr 30, 2026 | 1.41 Bn |
| Jan 31, 2026 | 1.41 Bn |
| Oct 31, 2025 | 1.41 Bn |
| Jul 31, 2025 | 1.41 Bn |
| Apr 30, 2025 | 1.41 Bn |
| Jan 31, 2025 | 1.41 Bn |
| Oct 31, 2024 | 1.41 Bn |
| Jul 31, 2024 | 1.39 Bn |
| Apr 30, 2024 | 1.39 Bn |
| Jan 31, 2024 | 1.39 Bn |
| Oct 31, 2023 | 1.39 Bn |
| Jul 31, 2023 | 1.40 Bn |
| Apr 30, 2023 | 1.40 Bn |
| Jan 31, 2023 | 1.40 Bn |
| Oct 31, 2022 | 1.40 Bn |
| Jul 31, 2022 | 1.42 Bn |
| Apr 30, 2022 | 1.42 Bn |
| Jan 31, 2022 | 1.42 Bn |
| Oct 31, 2021 | 1.42 Bn |
Royal Bank Of Canada Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=RY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=RY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();