Raymond James Financial (RJF) Weighted Average Shares Outstanding (2009 - 2026)
Raymond James Financial's Weighted Average Shares Outstanding was 194 million in fiscal Q4 2026 (quarter ended Sep 30, 2026), down 4.0% from 202 million a year earlier and unchanged from the prior quarter.
Raymond James Financial (RJF) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
From fiscal Q3 2009 onward, Raymond James Financial has reported Weighted Average Shares Outstanding for 70 quarters.
- Weighted Average Shares Outstanding has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- In earlier fiscal years, Weighted Average Shares Outstanding was 202 million in FY2025 (-2.5%), 207.1 million in FY2024 (-2.2%), 211.8 million in FY2023 (+0.9%) and 209.9 million in FY2022 (+2.0%).
- Quarterly Weighted Average Shares Outstanding has moved between 194 million (fiscal Q3 2026) and 214.7 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for 12 straight quarters, with an average decline of 3.0% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was fiscal Q1 2023 (growth of 4.1%); the worst was fiscal Q2 2026 (a decline of 4.0%).
- Per Business Quant data, RJF's Weighted Average Shares Outstanding in the three fiscal quarters before Q4 2026 was 194 million (Q3 2026), 196.1 million (Q2 2026) and 197.1 million (Q1 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 | Raymond James Financial | 32.28 Bn | 32.28 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 194.00 Mn |
| Jun 30, 2026 | 194.00 Mn |
| Mar 31, 2026 | 196.10 Mn |
| Dec 31, 2025 | 197.10 Mn |
| Sep 30, 2025 | 202.00 Mn |
| Jun 30, 2025 | 201.20 Mn |
| Mar 31, 2025 | 204.30 Mn |
| Dec 31, 2024 | 203.70 Mn |
| Sep 30, 2024 | 207.10 Mn |
| Jun 30, 2024 | 206.80 Mn |
| Mar 31, 2024 | 208.30 Mn |
| Dec 31, 2023 | 208.60 Mn |
| Sep 30, 2023 | 211.80 Mn |
| Jun 30, 2023 | 210.10 Mn |
| Mar 31, 2023 | 214.30 Mn |
| Dec 31, 2022 | 214.70 Mn |
| Sep 30, 2022 | 209.90 Mn |
| Jun 30, 2022 | 210.70 Mn |
| Mar 31, 2022 | 207.70 Mn |
| Dec 31, 2021 | 206.30 Mn |
Raymond James Financial 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=RJF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "RJF", "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=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();