Lake Shore Bancorp (LSBK) Tax Provisions (2024 - 2026)
Lake Shore Bancorp (LSBK) reported Tax Provisions of $477,000 for Q2 2026, up 26.2% from $378,000 a year earlier and up 10.9% from the prior quarter.
Lake Shore Bancorp (LSBK) Tax Provisions (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lake Shore Bancorp's Tax Provisions came in at $1.81 million, up 61.2% year-over-year; for FY2025, it came in at $1.48 million, up 58.6% from FY2024.
- By year, Tax Provisions came in at $935,000 in FY2024.
- Five-year quarterly Tax Provisions spans a low of $206,000 in Q1 2025 and a high of $487,000 in Q3 2025.
- Year over year, Tax Provisions has now increased in each of the last five quarters, with growth averaging 69.3% over the last five quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $430,000 (Q1 2026), $411,000 (Q4 2025) and $487,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Lake Shore Bancorp | 142.81 Mn | -138.96 Mn | - | 477,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 477,000.00 |
| Mar 31, 2026 | 430,000.00 |
| Dec 31, 2025 | 411,000.00 |
| Sep 30, 2025 | 487,000.00 |
| Jun 30, 2025 | 378,000.00 |
| Mar 31, 2025 | 206,000.00 |
| Dec 31, 2024 | 278,000.00 |
| Sep 30, 2024 | 258,000.00 |
| Jun 30, 2024 | 216,000.00 |
Lake Shore Bancorp Tax 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=tax-provisions&ticker=LSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();