EWSB Bancorp (EWSB) Provisions (2023 - 2026)
EWSB Bancorp (EWSB) reported Provisions of $49,301 for Q2 2026, up 220.7% from $15,373 a year earlier but down 6.8% from the prior quarter.
EWSB Bancorp (EWSB) Provisions (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, EWSB Bancorp's Provisions came in at $118,774, up 31.4% year-over-year; for FY2025, it came in at $131,198, down 21.3% from FY2024.
- By year, Provisions came in at $166,794 in FY2024 (+15.0%) and $145,039 in FY2023.
- Five-year quarterly Provisions spans a low of -$117,722 in Q4 2023 and a high of $120,490 in Q2 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 914.00 Mn |
| 10 | EWSB Bancorp | 7.70 Mn | -2.22 Mn | - | 49,301.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49,301.00 |
| Mar 31, 2026 | 52,893.00 |
| Sep 30, 2025 | 16,580.00 |
| Jun 30, 2025 | 15,373.00 |
| Mar 31, 2025 | 110,290.00 |
| Dec 31, 2024 | 19,904.00 |
| Sep 30, 2024 | -55,144.00 |
| Jun 30, 2024 | 120,490.00 |
| Dec 31, 2023 | -117,722.00 |
| Sep 30, 2023 | 36,322.00 |
| Jun 30, 2023 | 108,977.00 |
EWSB 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=EWSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "ticker": "EWSB", "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=EWSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();