Winchester Bancorp (WSBK) Accumulated Expenses (2024 - 2026)
Winchester Bancorp's Accumulated Expenses came in at $6.86 million for Q1 2027, up 17.2% from $5.85 million a year earlier and up 10.3% from the prior quarter.
Winchester Bancorp (WSBK) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2026, Winchester Bancorp's Accumulated Expenses was $6.22 million, up 2.2% from FY2025.
- Going back by year, Accumulated Expenses was $6.09 million in FY2025 (-0.3%) and $6.11 million in FY2024.
- The Q1 2027 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2024.
- Year-over-year, Accumulated Expenses increased in three of the last five quarters, with growth averaging 4.2%.
- Business Quant data shows WSBK's Accumulated Expenses at $6.22 million (Q4 2026), $5.46 million (Q3 2026) and $5.82 million (Q2 2026) in the three quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Winchester Bancorp | 128.46 Mn | -106.12 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.86 Mn |
| 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 |
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_KEY
import 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();