Waterstone Financial, Inc. (WSBF) Operating Expenses (2012 - 2026)
Waterstone Financial's Operating Expenses was $29.38 million in Q2 2026, up 3.5% from $28.38 million a year earlier and up 5.4% from the prior quarter.
Waterstone Financial, Inc. (WSBF) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Waterstone Financial's Operating Expenses was $112.4 million through Jun 30, 2026, up 3.5% year-over-year; for FY2025, it was $109.87 million, down 1.6% from FY2024.
- Operating Expenses has now declined for five consecutive years, with a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $111.64 million in FY2024 (-6.7%), $119.71 million in FY2023 (-12.7%), $137.06 million in FY2022 (-19.7%) and $170.59 million in FY2021 (-6.8%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2024.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with an average decline of 1.9% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 9.5%); the worst was Q4 2022 (a decline of 23.4%).
- Per Business Quant data, WSBF's Operating Expenses in the three quarters before Q2 2026 was $27.88 million (Q1 2026), $27.68 million (Q4 2025) and $27.47 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.38 Mn |
| Mar 31, 2026 | 27.88 Mn |
| Dec 31, 2025 | 27.68 Mn |
| Sep 30, 2025 | 27.47 Mn |
| Jun 30, 2025 | 28.38 Mn |
| Mar 31, 2025 | 26.35 Mn |
| Dec 31, 2024 | 25.27 Mn |
| Sep 30, 2024 | 28.56 Mn |
| Jun 30, 2024 | 30.26 Mn |
| Mar 31, 2024 | 27.55 Mn |
| Dec 31, 2023 | 29.66 Mn |
| Sep 30, 2023 | 30.02 Mn |
| Jun 30, 2023 | 30.92 Mn |
| Mar 31, 2023 | 29.11 Mn |
| Dec 31, 2022 | 31.38 Mn |
| Sep 30, 2022 | 35.69 Mn |
| Jun 30, 2022 | 35.05 Mn |
| Mar 31, 2022 | 34.94 Mn |
| Dec 31, 2021 | 40.97 Mn |
| Sep 30, 2021 | 43.32 Mn |
Waterstone Financial, Inc. Operating 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=operating-expenses&ticker=WSBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();