Waterstone Financial (WSBF) Enterprise Value (2012 - 2026)
Waterstone Financial's Enterprise Value came in at $334.42 million for Q2 2026, up 77.5% from $188.38 million a year earlier and up 18.4% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) Enterprise Value (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Waterstone Financial reported Enterprise Value of $164.89 million, up 158.0% year-over-year; for FY2025, it came in at $232.75 million, up 5.7% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $220.21 million in FY2024 (-12.6%), $252.05 million in FY2023 (-24.9%), $335.64 million in FY2022 (+103.1%) and $165.3 million in FY2021 (-55.3%).
- The Q2 2026 figure represents the highest quarterly Enterprise Value since Q4 2022.
- Year-over-year, Enterprise Value has increased for three consecutive quarters, with growth averaging 18.2% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2022 (growth of 103.1%), and the weakest in Q4 2021 (a decline of 55.3%).
- Business Quant data shows WSBF's Enterprise Value at $282.52 million (Q1 2026), $232.75 million (Q4 2025) and $235.21 million (Q3 2025) in the three quarters before Q2 2026.
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 | 334.42 Mn |
| Mar 31, 2026 | 282.52 Mn |
| Dec 31, 2025 | 232.75 Mn |
| Sep 30, 2025 | 235.21 Mn |
| Jun 30, 2025 | 188.38 Mn |
| Mar 31, 2025 | 216.04 Mn |
| Dec 31, 2024 | 220.21 Mn |
| Sep 30, 2024 | 244.61 Mn |
| Jun 30, 2024 | 207.82 Mn |
| Mar 31, 2024 | 196.59 Mn |
| Dec 31, 2023 | 252.05 Mn |
| Sep 30, 2023 | 166.12 Mn |
| Jun 30, 2023 | 248.55 Mn |
| Mar 31, 2023 | 276.66 Mn |
| Dec 31, 2022 | 335.64 Mn |
| Sep 30, 2022 | 287.73 Mn |
| Jun 30, 2022 | 265.42 Mn |
| Mar 31, 2022 | 188.47 Mn |
| Dec 31, 2021 | 165.30 Mn |
| Sep 30, 2021 | 154.42 Mn |
API Access
Waterstone Financial Enterprise Value 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=enterprise-value&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();