Lake Shore Bancorp (LSBK) Rent Expense (2024 - 2026)
Lake Shore Bancorp (LSBK) recorded Rent Expense of $642,000 in Q2 2026, up 4.4% from $615,000 a year earlier but down 10.7% from the prior quarter.
Lake Shore Bancorp (LSBK) Rent Expense (2024 - 2026) Analysis & Trends
On a TTM basis, Lake Shore Bancorp's Rent Expense came in at $2.66 million as of Jun 30, 2026, up 1.4% year-over-year; for FY2025, it was $2.59 million, down 4.7% from FY2024.
- Across earlier years, Rent Expense came in at $2.72 million in FY2024.
- Quarterly Rent Expense has ranged from $615,000 in Q2 2025 to $719,000 in Q1 2026 over the past five years.
- On a year-over-year basis, Rent Expense has increased for three consecutive quarters, with an average decline of 0.8% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $719,000 (Q1 2026), $669,000 (Q4 2025) and $630,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 803.00 Mn |
| 10 | Lake Shore Bancorp | 142.81 Mn | -138.96 Mn | - | 642,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 642,000.00 |
| Mar 31, 2026 | 719,000.00 |
| Dec 31, 2025 | 669,000.00 |
| Sep 30, 2025 | 630,000.00 |
| Jun 30, 2025 | 615,000.00 |
| Mar 31, 2025 | 676,000.00 |
| Dec 31, 2024 | 653,000.00 |
| Sep 30, 2024 | 680,000.00 |
| Jun 30, 2024 | 681,000.00 |
Lake Shore Bancorp Rent Expense 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=rent-expense&ticker=LSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=LSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();