Waterstone Financial (WSBF) Cash Due from Bank (2012 - 2026)
Waterstone Financial (WSBF) recorded Cash Due from Bank of $38.2 million in Q2 2026, down 46.1% from $70.92 million a year earlier and down 14.4% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) Cash Due from Bank (2012 - 2026) Analysis & Trends
At the end of FY2025, Waterstone Financial reported Cash Due from Bank of $71.11 million, up 78.8% from FY2024.
- Annual Cash Due from Bank has a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- Across earlier years, Cash Due from Bank came in at $39.76 million in FY2024 (+9.2%), $36.42 million in FY2023 (-21.9%), $46.64 million in FY2022 (-87.6%) and $376.72 million in FY2021 (+297.5%).
- The Q2 2026 figure is the lowest quarterly Cash Due from Bank since Q4 2023.
- On a year-over-year basis, Cash Due from Bank rose in five of the last eight quarters, with growth averaging 13.5%.
- Peak year-over-year performance for Cash Due from Bank in the last five years was growth of 314.3% in Q3 2021, against a decline of 87.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.65 million (Q1 2026), $71.11 million (Q4 2025) and $53.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 28.10 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 505.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 42.16 Bn |
| 10 | Waterstone Financial | 353.39 Mn | 145.66 Mn | - | 38.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.20 Mn |
| Mar 31, 2026 | 44.65 Mn |
| Dec 31, 2025 | 71.11 Mn |
| Sep 30, 2025 | 53.77 Mn |
| Jun 30, 2025 | 70.92 Mn |
| Mar 31, 2025 | 43.29 Mn |
| Dec 31, 2024 | 39.76 Mn |
| Sep 30, 2024 | 41.41 Mn |
| Jun 30, 2024 | 41.32 Mn |
| Mar 31, 2024 | 45.71 Mn |
| Dec 31, 2023 | 36.42 Mn |
| Sep 30, 2023 | 62.29 Mn |
| Jun 30, 2023 | 61.19 Mn |
| Mar 31, 2023 | 54.19 Mn |
| Dec 31, 2022 | 46.64 Mn |
| Sep 30, 2022 | 72.94 Mn |
| Jun 30, 2022 | 122.19 Mn |
| Mar 31, 2022 | 278.53 Mn |
| Dec 31, 2021 | 376.72 Mn |
| Sep 30, 2021 | 358.61 Mn |
API Access
Waterstone Financial Cash Due from Bank 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=cash-due-from-bank&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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=cash-due-from-bank&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();