Winchester Bancorp (WSBK) Provisions (2023 - 2026)
Winchester Bancorp's Provisions came in at $396,000 for Q4 2026, down 42.4% from $687,000 a year earlier but up 21.8% from the prior quarter.
Analysis
Winchester Bancorp (WSBK) Provisions (2023 - 2026) Analysis & Trends
For FY2026, Winchester Bancorp's Provisions was $1.23 million, down 40.6% from FY2025.
- Going back by year, Provisions was $2.07 million in FY2025 (+178.7%) and $742,000 in FY2024.
- The five-year range for quarterly Provisions is -$21,000 (Q3 2025) to $1.27 million (Q1 2025).
- Year-over-year, Provisions increased in three of the last five quarters, with growth averaging 33.7%.
- Business Quant data shows WSBK's Provisions at $325,000 (Q3 2026), $388,000 (Q2 2026) and $475,000 (Q1 2026) in the three quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 914.00 Mn |
| 10 | Winchester Bancorp | 120.00 Mn | -106.50 Mn | - | 396,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 396,000.00 |
| Mar 31, 2026 | 325,000.00 |
| Dec 31, 2025 | 388,000.00 |
| Sep 30, 2025 | 475,000.00 |
| Jun 30, 2025 | 687,000.00 |
| Mar 31, 2025 | -21,000.00 |
| Dec 31, 2024 | 238,000.00 |
| Sep 30, 2024 | 1.27 Mn |
| Jun 30, 2024 | 275,000.00 |
| Mar 31, 2024 | 100,000.00 |
| Dec 31, 2023 | 148,000.00 |
API Access
Winchester Bancorp Provisions 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=provisions&ticker=WSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=WSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();