Webster Financial (WBS) Long-Term Investments (2012 - 2026)
Webster Financial (WBS) posted Long-Term Investments of $388.37 million for Q2 2026, up 4.9% from $370.27 million a year earlier but down 10.0% from the prior quarter.
Webster Financial (WBS) Long-Term Investments (2012 - 2026) Analysis & Trends
At the end of FY2025, Webster Financial's Long-Term Investments came in at $356.41 million, up 10.9% from FY2024.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 35.7% (FY2020 to FY2025).
- In prior years, Webster Financial's Long-Term Investments was $321.34 million in FY2024 (-1.7%), $326.88 million in FY2023 (-26.7%), $445.9 million in FY2022 (+520.7%) and $71.84 million in FY2021 (-7.4%).
- Quarterly Long-Term Investments has run from a low of $71.84 million in Q4 2021 to a high of $584.72 million in Q1 2023 over five years.
- On a year-over-year basis, Long-Term Investments has increased in each of the last three quarters, with growth averaging 5.9% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q4 2022, with growth of 520.7%; the weakest was Q1 2024, with a decline of 34.8%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $431.4 million (Q1 2026), $356.41 million (Q4 2025) and $340.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 24.30 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - | 255.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Webster Financial | 12.57 Bn | 12.57 Bn | - | 388.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 388.37 Mn |
| Mar 31, 2026 | 431.40 Mn |
| Dec 31, 2025 | 356.41 Mn |
| Sep 30, 2025 | 340.23 Mn |
| Jun 30, 2025 | 370.27 Mn |
| Mar 31, 2025 | 350.70 Mn |
| Dec 31, 2024 | 321.34 Mn |
| Sep 30, 2024 | 360.80 Mn |
| Jun 30, 2024 | 348.26 Mn |
| Mar 31, 2024 | 381.45 Mn |
| Dec 31, 2023 | 326.88 Mn |
| Sep 30, 2023 | 306.09 Mn |
| Jun 30, 2023 | 407.97 Mn |
| Mar 31, 2023 | 584.72 Mn |
| Dec 31, 2022 | 445.90 Mn |
| Sep 30, 2022 | 373.04 Mn |
| Jun 30, 2022 | 329.42 Mn |
| Mar 31, 2022 | 206.12 Mn |
| Dec 31, 2021 | 71.84 Mn |
| Sep 30, 2021 | 75.94 Mn |
Webster Financial Long-Term Investments 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=long-term-investments&ticker=WBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=WBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();