Webster Financial (WBS) Cash from Operations (2010 - 2026)
Webster Financial (WBS) reported Cash from Operations of $385.79 million for Q2 2026, up 42.4% from $270.91 million a year earlier and up 33.6% from the prior quarter.
Webster Financial (WBS) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Webster Financial's Cash from Operations came in at $1.37 billion, up 4.9% year-over-year; for FY2025, it was $1.06 billion, down 24.7% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- By year, Cash from Operations came in at $1.4 billion in FY2024 (+43.5%), $978.65 million in FY2023 (-26.7%), $1.34 billion in FY2022 (+94.0%) and $688.59 million in FY2021 (+80.9%).
- The Q2 2026 figure ranks as the highest quarterly Cash from Operations since Q4 2024.
- Year over year, Cash from Operations gained in five of the last eight quarters, with growth averaging 211.8%.
- The high point for year-over-year Cash from Operations in five years was Q4 2024 (growth of 915.0%); the low point was Q3 2024 (a decline of 89.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $288.75 million (Q1 2026), $317.61 million (Q4 2025) and $374.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Webster Financial | 12.57 Bn | 12.57 Bn | - | 385.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 385.79 Mn |
| Mar 31, 2026 | 288.75 Mn |
| Dec 31, 2025 | 317.61 Mn |
| Sep 30, 2025 | 374.72 Mn |
| Jun 30, 2025 | 270.91 Mn |
| Mar 31, 2025 | 94.89 Mn |
| Dec 31, 2024 | 891.32 Mn |
| Sep 30, 2024 | 45.31 Mn |
| Jun 30, 2024 | 223.99 Mn |
| Mar 31, 2024 | 243.68 Mn |
| Dec 31, 2023 | 87.82 Mn |
| Sep 30, 2023 | 427.17 Mn |
| Jun 30, 2023 | 249.37 Mn |
| Mar 31, 2023 | 214.29 Mn |
| Dec 31, 2022 | 275.29 Mn |
| Sep 30, 2022 | 421.86 Mn |
| Jun 30, 2022 | 423.55 Mn |
| Mar 31, 2022 | 215.26 Mn |
| Dec 31, 2021 | 224.42 Mn |
| Sep 30, 2021 | 150.94 Mn |
Webster Financial Cash from Operations 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=cash-from-operations&ticker=WBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=WBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();