Waterstone Financial (WSBF) Cash & Equivalents (2012 - 2026)
Waterstone Financial's Cash & Equivalents was $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 & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Waterstone Financial came in at $71.11 million, up 78.8% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $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 marks the lowest quarterly Cash & Equivalents since Q4 2023.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 13.5%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 314.3%); the worst was Q4 2022 (a decline of 87.6%).
- Per Business Quant data, WSBF's Cash & Equivalents in the three quarters before Q2 2026 was $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 & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 160.14 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 | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 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 & Equivalents 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-and-equivalents&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();