Lake Shore Bancorp (LSBK) Change in Accured Expenses (2024 - 2026)
Lake Shore Bancorp (LSBK) posted Change in Accured Expenses of -$308,000 for Q2 2026, compared with $372,000 a year earlier.
Lake Shore Bancorp (LSBK) Change in Accured Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Lake Shore Bancorp was $1.04 million, down 33.4% year-over-year; for FY2025, it came in at $346,000.
- In prior years, Lake Shore Bancorp's Change in Accured Expenses was -$31,000 in FY2024.
- Quarterly Change in Accured Expenses has run from a low of -$400,000 in Q4 2025 to a high of $1.36 million in Q1 2026 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $1.36 million (Q1 2026), -$400,000 (Q4 2025) and $387,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 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 | - | 14.35 Bn |
| 10 | Lake Shore Bancorp | 144.54 Mn | -137.23 Mn | - | -308,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -308,000.00 |
| Mar 31, 2026 | 1.36 Mn |
| Dec 31, 2025 | -400,000.00 |
| Sep 30, 2025 | 387,000.00 |
| Jun 30, 2025 | 372,000.00 |
| Mar 31, 2025 | -13,000.00 |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 190,000.00 |
Lake Shore Bancorp Change in Accured 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=change-in-accured-expenses&ticker=LSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=LSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();