Lake Shore Bancorp (LSBK) Provision for Losses (2024 - 2026)
Lake Shore Bancorp's Provision for Losses came in at $118,000 for Q2 2026.
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Analysis
Lake Shore Bancorp (LSBK) Provision for Losses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lake Shore Bancorp reported Provision for Losses of -$223,000; for FY2025, it came in at -$180,000.
- Going back by year, Provision for Losses was -$1.48 million in FY2024.
- Business Quant data shows LSBK's Provision for Losses at -$113,000 (Q1 2026), $41,000 (Q4 2025) and -$269,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 368.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.03 Bn |
| 10 | Lake Shore Bancorp | 147.51 Mn | -108.30 Mn | - | 291,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 291,000.00 |
| Jun 30, 2026 | 118,000.00 |
| Mar 31, 2026 | -113,000.00 |
| Dec 31, 2025 | 41,000.00 |
| Sep 30, 2025 | -269,000.00 |
| Mar 31, 2025 | 48,000.00 |
| Dec 31, 2024 | -613,000.00 |
| Sep 30, 2024 | -229,000.00 |
API Access
Lake Shore Bancorp Provision for Losses 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=provision-for-losses&ticker=LSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=LSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();