Wsfs Financial (WSFS) Shares Outstanding (2010 - 2026)
Wsfs Financial's Shares Outstanding came in at 51.8 million for Q2 2026, down 8.6% from 56.7 million a year earlier and down 2.0% from the prior quarter.
Analysis
Wsfs Financial (WSFS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Wsfs Financial's Shares Outstanding was 56.28 million, down 5.5% from FY2024.
- Shares Outstanding has declined in each of the last three years, though with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 59.55 million in FY2024 (-2.6%), 61.11 million in FY2023 (-3.7%), 63.45 million in FY2022 (+33.5%) and 47.54 million in FY2021 (-5.9%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding since Q4 2021.
- Year-over-year, Shares Outstanding has declined for 14 consecutive quarters, with an average decline of 5.4% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in Q1 2022 (growth of 36.7%), and the weakest in Q1 2026 (a decline of 9.6%).
- Business Quant data shows WSFS's Shares Outstanding at 52.85 million (Q1 2026), 56.28 million (Q4 2025) and 55.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 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 | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Wsfs Financial | 3.86 Bn | -4.46 Bn | - | 51.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.80 Mn |
| Mar 31, 2026 | 52.85 Mn |
| Dec 31, 2025 | 56.28 Mn |
| Sep 30, 2025 | 55.81 Mn |
| Jun 30, 2025 | 56.70 Mn |
| Mar 31, 2025 | 58.45 Mn |
| Dec 31, 2024 | 59.55 Mn |
| Sep 30, 2024 | 59.19 Mn |
| Jun 30, 2024 | 59.83 Mn |
| Mar 31, 2024 | 60.35 Mn |
| Dec 31, 2023 | 61.11 Mn |
| Sep 30, 2023 | 60.94 Mn |
| Jun 30, 2023 | 61.35 Mn |
| Mar 31, 2023 | 61.51 Mn |
| Dec 31, 2022 | 63.45 Mn |
| Sep 30, 2022 | 63.05 Mn |
| Jun 30, 2022 | 64.22 Mn |
| Mar 31, 2022 | 64.94 Mn |
| Dec 31, 2021 | 47.54 Mn |
| Sep 30, 2021 | 47.54 Mn |
API Access
Wsfs Financial 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=shares-outstanding&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();