Waterstone Financial (WSBF) EBITDA (2013 - 2026)
Waterstone Financial (WSBF) reported EBITDA of $25.01 million for Q2 2026, down 0.8% from $25.21 million a year earlier but up 13.6% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) EBITDA (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Waterstone Financial's EBITDA came in at $97.42 million, up 5.5% year-over-year; for FY2025, it was $95.37 million, up 2.0% from FY2024.
- EBITDA has increased for three consecutive years, though with a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- By year, EBITDA came in at $93.48 million in FY2024 (+47.6%), $63.33 million in FY2023 (+51.5%), $41.8 million in FY2022 (-62.8%) and $112.52 million in FY2021 (-18.9%).
- Five-year quarterly EBITDA spans a low of $6.66 million in Q4 2022 and a high of $29.23 million in Q3 2021.
- Year over year, EBITDA gained in six of the last eight quarters, with growth averaging 12.1%.
- The high point for year-over-year EBITDA in five years was Q4 2023 (growth of 130.9%); the low point was Q1 2022 (a decline of 67.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $22.02 million (Q1 2026), $25.14 million (Q4 2025) and $25.25 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 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - | 25.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.01 Mn |
| Mar 31, 2026 | 22.02 Mn |
| Dec 31, 2025 | 25.14 Mn |
| Sep 30, 2025 | 25.25 Mn |
| Jun 30, 2025 | 25.21 Mn |
| Mar 31, 2025 | 19.77 Mn |
| Dec 31, 2024 | 23.02 Mn |
| Sep 30, 2024 | 24.32 Mn |
| Jun 30, 2024 | 25.12 Mn |
| Mar 31, 2024 | 21.02 Mn |
| Dec 31, 2023 | 15.38 Mn |
| Sep 30, 2023 | 18.86 Mn |
| Jun 30, 2023 | 17.40 Mn |
| Mar 31, 2023 | 11.69 Mn |
| Dec 31, 2022 | 6.66 Mn |
| Sep 30, 2022 | 10.53 Mn |
| Jun 30, 2022 | 13.55 Mn |
| Mar 31, 2022 | 11.07 Mn |
| Dec 31, 2021 | 20.22 Mn |
| Sep 30, 2021 | 29.23 Mn |
API Access
Waterstone 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=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();