Webster Financial (WBS) Amortization - Intangibles (2009 - 2026)
Webster Financial's Amortization - Intangibles was $9.01 million in Q2 2026, down 1.0% from $9.09 million a year earlier and down 2.0% from the prior quarter.
Webster Financial (WBS) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Webster Financial's Amortization - Intangibles was $36.17 million through Jun 30, 2026, down 0.9% year-over-year; for FY2025, it was $36.3 million, up 0.6% from FY2024.
- Amortization - Intangibles shows a five-year compound annual growth rate of 54.2% (FY2020 to FY2025).
- In earlier years, Amortization - Intangibles was $36.08 million in FY2024 (-0.3%), $36.21 million in FY2023 (+13.4%), $31.94 million in FY2022 (+607.7%) and $4.51 million in FY2021 (+8.5%).
- Quarterly Amortization - Intangibles has moved between $1.12 million (Q4 2021) and $9.68 million (Q4 2024) over five years.
- Compared with a year earlier, Amortization - Intangibles has declined for three straight quarters, with growth averaging 1.2% over the last eight quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was Q2 2022 (growth of 677.6%); the worst was Q4 2025 (a decline of 7.0%).
- Per Business Quant data, WBS's Amortization - Intangibles in the three quarters before Q2 2026 was $9.19 million (Q1 2026), $9.01 million (Q4 2025) and $8.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Webster Financial | 12.57 Bn | 12.57 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.01 Mn |
| Mar 31, 2026 | 9.19 Mn |
| Dec 31, 2025 | 9.01 Mn |
| Sep 30, 2025 | 8.97 Mn |
| Jun 30, 2025 | 9.09 Mn |
| Mar 31, 2025 | 9.24 Mn |
| Dec 31, 2024 | 9.68 Mn |
| Sep 30, 2024 | 8.49 Mn |
| Jun 30, 2024 | 8.72 Mn |
| Mar 31, 2024 | 9.19 Mn |
| Dec 31, 2023 | 8.62 Mn |
| Sep 30, 2023 | 8.90 Mn |
| Jun 30, 2023 | 9.19 Mn |
| Mar 31, 2023 | 9.50 Mn |
| Dec 31, 2022 | 8.24 Mn |
| Sep 30, 2022 | 8.51 Mn |
| Jun 30, 2022 | 8.80 Mn |
| Mar 31, 2022 | 6.39 Mn |
| Dec 31, 2021 | 1.12 Mn |
| Sep 30, 2021 | 1.12 Mn |
Webster Financial Amortization - Intangibles 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=amortization-intangibles&ticker=WBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=WBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();