Webster Financial (WBS) Shares Outstanding (Diluted) (2010 - 2026)
Webster Financial's Shares Outstanding (Diluted) was 160.18 million in Q2 2026, down 3.6% from 166.13 million a year earlier but up 0.2% from the prior quarter.
Webster Financial (WBS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Webster Financial came in at 165.21 million, down 2.9% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 170.19 million in FY2024 (-1.0%), 171.88 million in FY2023 (+2.6%), 167.55 million in FY2022 (+85.7%) and 90.21 million in FY2021 (+0.1%).
- Quarterly Shares Outstanding (Diluted) has moved between 90.21 million (Q4 2021) and 175.9 million (Q2 2022) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for ten straight quarters, with an average decline of 2.5% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q2 2022 (growth of 95.0%); the worst was Q1 2026 (a decline of 5.7%).
- Per Business Quant data, WBS's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 159.85 million (Q1 2026), 165.21 million (Q4 2025) and 164.46 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 | Webster Financial | 12.57 Bn | 12.57 Bn | - | 160.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.18 Mn |
| Mar 31, 2026 | 159.85 Mn |
| Dec 31, 2025 | 165.21 Mn |
| Sep 30, 2025 | 164.46 Mn |
| Jun 30, 2025 | 166.13 Mn |
| Mar 31, 2025 | 169.54 Mn |
| Dec 31, 2024 | 170.19 Mn |
| Sep 30, 2024 | 169.89 Mn |
| Jun 30, 2024 | 169.94 Mn |
| Mar 31, 2024 | 170.70 Mn |
| Dec 31, 2023 | 171.88 Mn |
| Sep 30, 2023 | 171.35 Mn |
| Jun 30, 2023 | 172.80 Mn |
| Mar 31, 2023 | 172.88 Mn |
| Dec 31, 2022 | 167.55 Mn |
| Sep 30, 2022 | 173.94 Mn |
| Jun 30, 2022 | 175.90 Mn |
| Mar 31, 2022 | 147.39 Mn |
| Dec 31, 2021 | 90.21 Mn |
| Sep 30, 2021 | 90.23 Mn |
Webster 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=WBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "WBS", "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=WBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();