Waterstone Financial (WSBF) EV to EBITDA (2014 - 2026)
Waterstone Financial's (WSBF) EV to EBITDA came in at 3.43 for Q2 2026, up 68.2% from 2.04 a year earlier and up 18.6% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) EV to EBITDA (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Waterstone Financial was 1.69, up 144.4% year-over-year; for FY2025, it came in at 2.44, up 3.6% from FY2024.
- In prior years, Waterstone Financial's EV to EBITDA was 2.36 in FY2024 (-40.8%), 3.98 in FY2023 (-50.4%), 8.03 in FY2022 (+446.6%) and 1.47 in FY2021 (-44.8%).
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA since Q4 2023.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters, with growth averaging 0.3% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q4 2022, with growth of 446.6%; the weakest was Q1 2024, with a decline of 58.5%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 2.89 (Q1 2026), 2.44 (Q4 2025) and 2.52 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 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 | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.43 |
| Mar 31, 2026 | 2.89 |
| Dec 31, 2025 | 2.44 |
| Sep 30, 2025 | 2.52 |
| Jun 30, 2025 | 2.04 |
| Mar 31, 2025 | 2.34 |
| Dec 31, 2024 | 2.36 |
| Sep 30, 2024 | 2.85 |
| Jun 30, 2024 | 2.59 |
| Mar 31, 2024 | 2.71 |
| Dec 31, 2023 | 3.98 |
| Sep 30, 2023 | 3.04 |
| Jun 30, 2023 | 5.37 |
| Mar 31, 2023 | 6.52 |
| Dec 31, 2022 | 8.03 |
| Sep 30, 2022 | 5.20 |
| Jun 30, 2022 | 3.58 |
| Mar 31, 2022 | 2.10 |
| Dec 31, 2021 | 1.47 |
| Sep 30, 2021 | 1.13 |
API Access
Waterstone Financial EV to 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=ev-to-ebitda&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "WSBF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();