Webster Financial (WBS) EBITDA (2010 - 2026)
Webster Financial (WBS) reported EBITDA of $724.06 million for Q2 2026, up 0.4% from $721.12 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Webster Financial (WBS) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Webster Financial's EBITDA came in at $4.02 billion, up 2.4% year-over-year; for FY2025, it was $2.86 billion, up 6.7% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- By year, EBITDA came in at $2.68 billion in FY2024 (+9.1%), $2.45 billion in FY2023 (+116.9%), $1.13 billion in FY2022 (+83.3%) and $617.12 million in FY2021 (+42.3%).
- Five-year quarterly EBITDA spans a low of -$17.41 million in Q1 2022 and a high of $1.86 billion in Q4 2024.
- Year over year, EBITDA gained in six of the last eight quarters, with growth averaging 29.5%.
- The high point for year-over-year EBITDA in five years was Q4 2024 (growth of 210.0%); the low point was Q1 2025 (a decline of 3.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $682.63 million (Q1 2026), $1.86 billion (Q4 2025) and $746.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Webster Financial | 12.57 Bn | 12.57 Bn | - | 724.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 724.06 Mn |
| Mar 31, 2026 | 682.63 Mn |
| Dec 31, 2025 | 1.86 Bn |
| Sep 30, 2025 | 746.91 Mn |
| Jun 30, 2025 | 721.12 Mn |
| Mar 31, 2025 | 663.19 Mn |
| Dec 31, 2024 | 1.86 Bn |
| Sep 30, 2024 | 674.96 Mn |
| Jun 30, 2024 | 651.05 Mn |
| Mar 31, 2024 | 688.81 Mn |
| Dec 31, 2023 | 601.58 Mn |
| Sep 30, 2023 | 640.76 Mn |
| Jun 30, 2023 | 667.15 Mn |
| Mar 31, 2023 | 543.56 Mn |
| Dec 31, 2022 | 472.50 Mn |
| Sep 30, 2022 | 386.72 Mn |
| Jun 30, 2022 | 289.30 Mn |
| Mar 31, 2022 | -17.41 Mn |
| Dec 31, 2021 | 161.45 Mn |
| Sep 30, 2021 | 145.23 Mn |
API Access
Webster Financial EBITDA 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=ebitda&ticker=WBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();