Webster Financial (WBS) Tax Provisions (2009 - 2026)
Webster Financial (WBS) reported Tax Provisions of $66.74 million for Q2 2026, up 3.0% from $64.78 million a year earlier and up 18.1% from the prior quarter.
Webster Financial (WBS) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Webster Financial's Tax Provisions came in at $259.1 million, up 2.6% year-over-year; for FY2025, it was $257.35 million, up 3.6% from FY2024.
- Tax Provisions has increased for five consecutive years, with a five-year compound annual growth rate of 34.1% (FY2020 to FY2025).
- By year, Tax Provisions came in at $248.3 million in FY2024 (+14.6%), $216.66 million in FY2023 (+41.0%), $153.69 million in FY2022 (+23.0%) and $125 million in FY2021 (+110.6%).
- Five-year quarterly Tax Provisions spans a low of -$33.6 million in Q1 2022 and a high of $79.33 million in Q4 2024.
- Year over year, Tax Provisions gained in four of the last eight quarters, with growth averaging 19.6%.
- The high point for year-over-year Tax Provisions in five years was Q4 2022 (growth of 120.5%); the low point was Q4 2023 (a decline of 47.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $56.53 million (Q1 2026), $65.15 million (Q4 2025) and $70.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Webster Financial | 12.57 Bn | 12.57 Bn | - | 66.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.74 Mn |
| Mar 31, 2026 | 56.53 Mn |
| Dec 31, 2025 | 65.15 Mn |
| Sep 30, 2025 | 70.69 Mn |
| Jun 30, 2025 | 64.78 Mn |
| Mar 31, 2025 | 56.74 Mn |
| Dec 31, 2024 | 79.33 Mn |
| Sep 30, 2024 | 51.68 Mn |
| Jun 30, 2024 | 47.94 Mn |
| Mar 31, 2024 | 69.35 Mn |
| Dec 31, 2023 | 36.22 Mn |
| Sep 30, 2023 | 51.97 Mn |
| Jun 30, 2023 | 62.65 Mn |
| Mar 31, 2023 | 65.83 Mn |
| Dec 31, 2022 | 68.41 Mn |
| Sep 30, 2022 | 64.07 Mn |
| Jun 30, 2022 | 54.81 Mn |
| Mar 31, 2022 | -33.60 Mn |
| Dec 31, 2021 | 31.03 Mn |
| Sep 30, 2021 | 29.77 Mn |
Webster Financial Tax Provisions 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=tax-provisions&ticker=WBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();