Winchester Bancorp, Inc./MD/ (WSBK) Operating Expenses (2023 - 2026)
Winchester Bancorp (WSBK) posted Operating Expenses of $5.41 million for Q4 2026, down 20.0% from $6.75 million a year earlier but up 11.6% from the prior quarter.
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Winchester Bancorp, Inc./MD/ (WSBK) Operating Expenses (2023 - 2026) Analysis & Trends
For FY2026, Winchester Bancorp's Operating Expenses came in at $19.75 million, up 5.2% from FY2025.
- In prior years, Winchester Bancorp's Operating Expenses was $18.78 million in FY2025 (+26.2%) and $14.89 million in FY2024.
- Quarterly Operating Expenses has run from a low of $3.67 million in Q3 2024 to a high of $6.75 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last seven quarters, with growth averaging 19.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.85 million (Q3 2026), $4.71 million (Q2 2026) and $4.8 million (Q1 2026).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.41 Mn |
| Mar 31, 2026 | 4.85 Mn |
| Dec 31, 2025 | 4.71 Mn |
| Sep 30, 2025 | 4.80 Mn |
| Jun 30, 2025 | 6.75 Mn |
| Mar 31, 2025 | 4.32 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | 3.94 Mn |
| Jun 30, 2024 | 3.71 Mn |
| Mar 31, 2024 | 3.67 Mn |
| Dec 31, 2023 | 3.86 Mn |
API Access
Winchester Bancorp, Inc./MD/ 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=WSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WSBK", "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=WSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();