Waterstone Financial (WSBF) Change in Net Loans (2015 - 2026)
Waterstone Financial (WSBF) posted Change in Net Loans of -$448,000 for Q2 2026, compared with $694,000 a year earlier.
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Analysis
Waterstone Financial (WSBF) Change in Net Loans (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Net Loans at Waterstone Financial was $19.48 million; for FY2025, it came in at -$5.2 million.
- In prior years, Waterstone Financial's Change in Net Loans was $16.69 million in FY2024 (-89.2%), $154.17 million in FY2023 (-49.3%), $303.87 million in FY2022 and -$170.3 million in FY2021.
- Quarterly Change in Net Loans has run from a low of -$69.69 million in Q3 2021 to a high of $155.74 million in Q4 2022 over five years.
- The strongest year-over-year quarter for Change in Net Loans in the past five years was Q3 2025, with growth of 205.4%; the weakest was Q1 2024, with a decline of 98.5%.
- According to Business Quant data, Change in Net Loans for the three prior quarters was $8.75 million (Q1 2026), -$39.38 million (Q4 2025) and $50.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Waterstone Financial | 353.39 Mn | 145.66 Mn | - | -448,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -448,000.00 |
| Mar 31, 2026 | 8.75 Mn |
| Dec 31, 2025 | -39.38 Mn |
| Sep 30, 2025 | 50.56 Mn |
| Jun 30, 2025 | 694,000.00 |
| Mar 31, 2025 | -17.07 Mn |
| Dec 31, 2024 | -14.41 Mn |
| Sep 30, 2024 | 16.56 Mn |
| Jun 30, 2024 | 13.94 Mn |
| Mar 31, 2024 | 600,000.00 |
| Dec 31, 2023 | 13.22 Mn |
| Sep 30, 2023 | 36.44 Mn |
| Jun 30, 2023 | 64.48 Mn |
| Mar 31, 2023 | 40.03 Mn |
| Dec 31, 2022 | 155.74 Mn |
| Sep 30, 2022 | 78.08 Mn |
| Jun 30, 2022 | 69.04 Mn |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | -21.51 Mn |
| Sep 30, 2021 | -69.69 Mn |
API Access
Waterstone Financial Change in Net Loans 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=change-in-net-loans&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();