Waterstone Financial (WSBF) Securities - Tradable (2012 - 2026)
Waterstone Financial (WSBF) posted Securities - Tradable of $237.35 million for Q2 2026, up 8.5% from $218.76 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) Securities - Tradable (2012 - 2026) Analysis & Trends
At the end of FY2025, Waterstone Financial's Securities - Tradable came in at $230.85 million, up 10.7% from FY2024.
- Annual Securities - Tradable has increased for five consecutive years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Waterstone Financial's Securities - Tradable was $208.55 million in FY2024 (+1.8%), $204.91 million in FY2023 (+4.2%), $196.59 million in FY2022 (+9.8%) and $179.02 million in FY2021 (+12.2%).
- The Q2 2026 figure stands as the highest quarterly Securities - Tradable since Q3 2016.
- On a year-over-year basis, Securities - Tradable has increased in each of the last 11 quarters, with growth averaging 7.4% over the last eight quarters.
- The strongest year-over-year quarter for Securities - Tradable in the past five years was Q1 2022, with growth of 24.5%; the weakest was Q2 2023, with a decline of 2.8%.
- According to Business Quant data, Securities - Tradable for the three prior quarters was $237.02 million (Q1 2026), $230.85 million (Q4 2025) and $226.4 million (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 | 237.35 Mn |
| Mar 31, 2026 | 237.02 Mn |
| Dec 31, 2025 | 230.85 Mn |
| Sep 30, 2025 | 226.40 Mn |
| Jun 30, 2025 | 218.76 Mn |
| Mar 31, 2025 | 213.62 Mn |
| Dec 31, 2024 | 208.55 Mn |
| Sep 30, 2024 | 213.16 Mn |
| Jun 30, 2024 | 204.84 Mn |
| Mar 31, 2024 | 204.70 Mn |
| Dec 31, 2023 | 204.91 Mn |
| Sep 30, 2023 | 194.50 Mn |
| Jun 30, 2023 | 195.01 Mn |
| Mar 31, 2023 | 200.44 Mn |
| Dec 31, 2022 | 196.59 Mn |
| Sep 30, 2022 | 197.30 Mn |
| Jun 30, 2022 | 200.55 Mn |
| Mar 31, 2022 | 201.95 Mn |
| Dec 31, 2021 | 179.02 Mn |
| Sep 30, 2021 | 174.83 Mn |
API Access
Waterstone Financial Securities - Tradable 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=securities-tradable&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-tradable", "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=securities-tradable&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();