Waterstone Financial (WSBF) Interest Expenses (2012 - 2026)
Waterstone Financial (WSBF) posted Interest Expenses of $13.58 million for Q2 2026, down 9.4% from $14.98 million a year earlier but up 0.2% from the prior quarter.
Waterstone Financial (WSBF) Interest Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Waterstone Financial was $56.35 million, down 12.0% year-over-year; for FY2025, it was $59.37 million, down 11.4% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- In prior years, Waterstone Financial's Interest Expenses was $67 million in FY2024 (+36.8%), $48.99 million in FY2023 (+268.6%), $13.29 million in FY2022 (-7.5%) and $14.37 million in FY2021 (-42.5%).
- Quarterly Interest Expenses has run from a low of $2.34 million in Q2 2022 to a high of $17.67 million in Q3 2024 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last six quarters, with an average decline of 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q3 2023, with growth of 427.6%; the weakest was Q3 2021, with a decline of 44.7%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $13.55 million (Q1 2026), $14.4 million (Q4 2025) and $14.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 10.97 Bn |
| 10 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - | 13.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.58 Mn |
| Mar 31, 2026 | 13.55 Mn |
| Dec 31, 2025 | 14.40 Mn |
| Sep 30, 2025 | 14.82 Mn |
| Jun 30, 2025 | 14.98 Mn |
| Mar 31, 2025 | 15.18 Mn |
| Dec 31, 2024 | 16.22 Mn |
| Sep 30, 2024 | 17.67 Mn |
| Jun 30, 2024 | 17.34 Mn |
| Mar 31, 2024 | 15.77 Mn |
| Dec 31, 2023 | 14.94 Mn |
| Sep 30, 2023 | 14.39 Mn |
| Jun 30, 2023 | 11.57 Mn |
| Mar 31, 2023 | 8.10 Mn |
| Dec 31, 2022 | 5.06 Mn |
| Sep 30, 2022 | 2.73 Mn |
| Jun 30, 2022 | 2.34 Mn |
| Mar 31, 2022 | 3.17 Mn |
| Dec 31, 2021 | 3.41 Mn |
| Sep 30, 2021 | 3.39 Mn |
Waterstone Financial Interest Expenses 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=interest-expenses&ticker=WSBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();