Webster Financial (WBS) Interest Expenses (2009 - 2026)
Webster Financial's Interest Expenses was $380.63 million in Q2 2026, up 0.3% from $379.41 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Webster Financial (WBS) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Webster Financial's Interest Expenses was $2.66 billion through Jun 30, 2026, down 3.0% year-over-year; for FY2025, it was $1.52 billion, down 4.1% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 69.0% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $1.59 billion in FY2024 (+23.1%), $1.29 billion in FY2023 (+415.5%), $250.45 million in FY2022 (+499.8%) and $41.76 million in FY2021 (-62.3%).
- Quarterly Interest Expenses has moved between $9.24 million (Q4 2021) and $1.59 billion (Q4 2024) over five years.
- Compared with a year earlier, Interest Expenses was higher in three of the last eight quarters, with growth averaging 42.4%.
- The best year-over-year quarter for Interest Expenses over five years was Q3 2022 (growth of 565.6%); the worst was Q4 2021 (a decline of 51.7%).
- Per Business Quant data, WBS's Interest Expenses in the three quarters before Q2 2026 was $359.88 million (Q1 2026), $1.52 billion (Q4 2025) and $396.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Webster Financial | 12.57 Bn | 12.57 Bn | - | 380.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 380.63 Mn |
| Mar 31, 2026 | 359.88 Mn |
| Dec 31, 2025 | 1.52 Bn |
| Sep 30, 2025 | 396.64 Mn |
| Jun 30, 2025 | 379.41 Mn |
| Mar 31, 2025 | 361.30 Mn |
| Dec 31, 2024 | 1.59 Bn |
| Sep 30, 2024 | 414.18 Mn |
| Jun 30, 2024 | 403.99 Mn |
| Mar 31, 2024 | 384.11 Mn |
| Dec 31, 2023 | 362.13 Mn |
| Sep 30, 2023 | 343.65 Mn |
| Jun 30, 2023 | 349.57 Mn |
| Mar 31, 2023 | 235.65 Mn |
| Dec 31, 2022 | 141.22 Mn |
| Sep 30, 2022 | 66.57 Mn |
| Jun 30, 2022 | 27.09 Mn |
| Mar 31, 2022 | 15.58 Mn |
| Dec 31, 2021 | 9.24 Mn |
| Sep 30, 2021 | 10.00 Mn |
API Access
Webster Financial Interest Expenses 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=interest-expenses&ticker=WBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=WBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();