Winchester Bancorp (WSBK) Accumulated Expenses (2024 - 2026)
Winchester Bancorp's Accumulated Expenses came in at $6.22 million for Q4 2026, up 2.2% from $6.09 million a year earlier and up 13.8% from the prior quarter.
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Analysis
Winchester Bancorp (WSBK) Accumulated Expenses (2024 - 2026) Analysis & Trends
Going back to Q4 2024, Winchester Bancorp's Accumulated Expenses data covers 8 quarters.
- Going back by year, Accumulated Expenses was $6.09 million in FY2025 (-0.3%) and $6.11 million in FY2024.
- The Q4 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2024.
- Year-over-year, Accumulated Expenses increased in two of the last four quarters, with growth averaging 0.9%.
- Business Quant data shows WSBK's Accumulated Expenses at $5.46 million (Q3 2026), $5.82 million (Q2 2026) and $5.85 million (Q1 2026) in the three quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Winchester Bancorp | 120.00 Mn | -106.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.22 Mn |
| Mar 31, 2026 | 5.46 Mn |
| Dec 31, 2025 | 5.82 Mn |
| Sep 30, 2025 | 5.85 Mn |
| Jun 30, 2025 | 6.09 Mn |
| Mar 31, 2025 | 6.00 Mn |
| Dec 31, 2024 | 5.25 Mn |
| Jun 30, 2024 | 6.11 Mn |
API Access
Winchester Bancorp Accumulated 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=accumulated-expenses&ticker=WSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();