Waterstone Financial (WSBF) Loans - Loss Allowance (2012 - 2026)
Waterstone Financial's Loans - Loss Allowance was $17.88 million in Q2 2026, up 0.5% from $17.8 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) Loans - Loss Allowance (2012 - 2026) Analysis & Trends
At the end of FY2025, Loans - Loss Allowance at Waterstone Financial came in at $17.48 million, down 4.2% from FY2024.
- Loans - Loss Allowance shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In earlier years, Loans - Loss Allowance was $18.25 million in FY2024 (-1.6%), $18.55 million in FY2023 (+4.5%), $17.76 million in FY2022 (+12.5%) and $15.78 million in FY2021 (-16.2%).
- The Q2 2026 figure marks the highest quarterly Loans - Loss Allowance since Q1 2025.
- Compared with a year earlier, Loans - Loss Allowance was higher in 1 of the last eight quarters, with an average decline of 2.3%.
- The best year-over-year quarter for Loans - Loss Allowance over five years was Q4 2022 (growth of 12.5%); the worst was Q4 2021 (a decline of 16.2%).
- Per Business Quant data, WSBF's Loans - Loss Allowance in the three quarters before Q2 2026 was $17.71 million (Q1 2026), $17.48 million (Q4 2025) and $17.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 26.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 13.01 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | -5.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.82 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | -7.49 Bn |
| 10 | Waterstone Financial | 362.38 Mn | 154.65 Mn | - | 17.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.88 Mn |
| Mar 31, 2026 | 17.71 Mn |
| Dec 31, 2025 | 17.48 Mn |
| Sep 30, 2025 | 17.67 Mn |
| Jun 30, 2025 | 17.80 Mn |
| Mar 31, 2025 | 17.91 Mn |
| Dec 31, 2024 | 18.25 Mn |
| Sep 30, 2024 | 18.20 Mn |
| Jun 30, 2024 | 18.41 Mn |
| Mar 31, 2024 | 18.55 Mn |
| Dec 31, 2023 | 18.55 Mn |
| Sep 30, 2023 | 18.55 Mn |
| Jun 30, 2023 | 18.37 Mn |
| Mar 31, 2023 | 17.74 Mn |
| Dec 31, 2022 | 17.76 Mn |
| Sep 30, 2022 | 17.45 Mn |
| Jun 30, 2022 | 17.27 Mn |
| Mar 31, 2022 | 16.91 Mn |
| Dec 31, 2021 | 15.78 Mn |
| Sep 30, 2021 | 16.79 Mn |
API Access
Waterstone Financial Loans - Loss Allowance 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=loans-loss-allowance&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();