Waterstone Financial (WSBF) Long-Term Debt Repayments (2016 - 2026)
Waterstone Financial (WSBF) posted Long-Term Debt Repayments of $50 million for Q2 2026, up 66.7% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Waterstone Financial was $130 million, up 85.7% year-over-year; for FY2025, it came in at $90 million, down 48.6% from FY2024.
- Annual Long-Term Debt Repayments has declined for three consecutive years, with a three-year compound annual growth rate of -42.4% (FY2022 to FY2025).
- In prior years, Waterstone Financial's Long-Term Debt Repayments was $175 million in FY2024 (-42.4%), $304 million in FY2023 (-35.3%) and $470 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q2 2024.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2023, with growth of 137.5%; the weakest was Q1 2023, with a decline of 83.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $30 million (Q1 2026), $20 million (Q4 2025) and $30 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | Waterstone Financial | 353.39 Mn | 145.66 Mn | - | 50.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.00 Mn |
| Mar 31, 2026 | 30.00 Mn |
| Dec 31, 2025 | 20.00 Mn |
| Sep 30, 2025 | 30.00 Mn |
| Mar 31, 2025 | 40.00 Mn |
| Dec 31, 2024 | 30.00 Mn |
| Jun 30, 2024 | 95.00 Mn |
| Mar 31, 2024 | 50.00 Mn |
| Dec 31, 2023 | 89.00 Mn |
| Sep 30, 2023 | 95.00 Mn |
| Jun 30, 2023 | 95.00 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Dec 31, 2022 | 200.00 Mn |
| Sep 30, 2022 | 75.00 Mn |
| Jun 30, 2022 | 40.00 Mn |
| Mar 31, 2022 | 155.00 Mn |
| Sep 30, 2019 | 25.00 Mn |
| Sep 30, 2018 | 50.00 Mn |
| Dec 31, 2017 | 80.00 Mn |
| Sep 30, 2017 | 45.00 Mn |
API Access
Waterstone Financial Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();