Wsfs Financial (WSFS) Shares Outstanding (Diluted) (2010 - 2026)
Wsfs Financial (WSFS) reported Shares Outstanding (Diluted) of 51.94 million for Q2 2026, down 8.6% from 56.85 million a year earlier and down 2.1% from the prior quarter.
Wsfs Financial (WSFS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Wsfs Financial posted Shares Outstanding (Diluted) of 56.47 million, down 5.5% from FY2024.
- Shares Outstanding (Diluted) has declined for three consecutive years, though with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 59.74 million in FY2024 (-2.4%), 61.22 million in FY2023 (-3.8%), 63.66 million in FY2022 (+33.4%) and 47.7 million in FY2021 (-5.6%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q4 2021.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 14 quarters, with an average decline of 5.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2022 (growth of 36.3%); the low point was Q1 2026 (a decline of 9.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 53.03 million (Q1 2026), 56.47 million (Q4 2025) and 55.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Wsfs Financial | 3.86 Bn | -4.46 Bn | - | 51.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.94 Mn |
| Mar 31, 2026 | 53.03 Mn |
| Dec 31, 2025 | 56.47 Mn |
| Sep 30, 2025 | 55.96 Mn |
| Jun 30, 2025 | 56.85 Mn |
| Mar 31, 2025 | 58.71 Mn |
| Dec 31, 2024 | 59.74 Mn |
| Sep 30, 2024 | 59.39 Mn |
| Jun 30, 2024 | 59.96 Mn |
| Mar 31, 2024 | 60.52 Mn |
| Dec 31, 2023 | 61.22 Mn |
| Sep 30, 2023 | 61.04 Mn |
| Jun 30, 2023 | 61.41 Mn |
| Mar 31, 2023 | 61.68 Mn |
| Dec 31, 2022 | 63.66 Mn |
| Sep 30, 2022 | 63.23 Mn |
| Jun 30, 2022 | 64.28 Mn |
| Mar 31, 2022 | 65.13 Mn |
| Dec 31, 2021 | 47.70 Mn |
| Sep 30, 2021 | 47.67 Mn |
Wsfs Financial Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "WSFS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();