Western New England Bancorp (WNEB) EBITDA (2014 - 2026)
Western New England Bancorp (WNEB) posted EBITDA of $16.87 million for Q2 2026, down 9.4% from $18.62 million a year earlier and down 7.4% from the prior quarter.
Western New England Bancorp (WNEB) EBITDA (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Western New England Bancorp was $70.75 million, up 1.4% year-over-year; for FY2025, it came in at $70.8 million, up 4.8% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In prior years, Western New England Bancorp's EBITDA was $67.58 million in FY2024 (+22.0%), $55.39 million in FY2023 (+25.8%), $44.01 million in FY2022 (+7.1%) and $41.09 million in FY2021 (+17.0%).
- Quarterly EBITDA has run from a low of $8.94 million in Q1 2022 to a high of $18.92 million in Q4 2025 over five years.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 5.9%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2023, with growth of 56.7%; the weakest was Q1 2022, with a decline of 13.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $18.21 million (Q1 2026), $18.92 million (Q4 2025) and $16.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Western New England Bancorp | 280.04 Mn | 277.67 Mn | - | 16.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.87 Mn |
| Mar 31, 2026 | 18.21 Mn |
| Dec 31, 2025 | 18.92 Mn |
| Sep 30, 2025 | 16.75 Mn |
| Jun 30, 2025 | 18.62 Mn |
| Mar 31, 2025 | 16.51 Mn |
| Dec 31, 2024 | 18.34 Mn |
| Sep 30, 2024 | 16.28 Mn |
| Jun 30, 2024 | 17.26 Mn |
| Mar 31, 2024 | 15.70 Mn |
| Dec 31, 2023 | 14.88 Mn |
| Sep 30, 2023 | 15.67 Mn |
| Jun 30, 2023 | 12.07 Mn |
| Mar 31, 2023 | 12.77 Mn |
| Dec 31, 2022 | 15.75 Mn |
| Sep 30, 2022 | 10.00 Mn |
| Jun 30, 2022 | 9.33 Mn |
| Mar 31, 2022 | 8.94 Mn |
| Dec 31, 2021 | 10.24 Mn |
| Sep 30, 2021 | 10.28 Mn |
Western New England Bancorp 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=WNEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "WNEB", "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=WNEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();