Lake Shore Bancorp (LSBK) Other Accumulated Expenses (2024 - 2026)
Lake Shore Bancorp's Other Accumulated Expenses came in at $10.49 million for Q2 2026, up 11.7% from $9.39 million a year earlier but down 1.6% from the prior quarter.
Lake Shore Bancorp (LSBK) Other Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Lake Shore Bancorp's Other Accumulated Expenses was $9.36 million, up 1.9% from FY2024.
- Going back by year, Other Accumulated Expenses was $9.18 million in FY2024.
- The five-year range for quarterly Other Accumulated Expenses is $9.18 million (Q4 2024) to $10.66 million (Q1 2026).
- Business Quant data shows LSBK's Other Accumulated Expenses at $10.66 million (Q1 2026), $9.36 million (Q4 2025) and $9.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Lake Shore Bancorp | 144.54 Mn | -137.23 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.49 Mn |
| Mar 31, 2026 | 10.66 Mn |
| Dec 31, 2025 | 9.36 Mn |
| Sep 30, 2025 | 9.71 Mn |
| Jun 30, 2025 | 9.39 Mn |
| Dec 31, 2024 | 9.18 Mn |
Lake Shore Bancorp Other 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=other-accumulated-expenses&ticker=LSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "LSBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=LSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();