Lake Shore Bancorp (LSBK) Provision for Credit Losses (2024 - 2026)
Lake Shore Bancorp (LSBK) reported Provision for Credit Losses of $119,000 for Q2 2026.
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Analysis
Lake Shore Bancorp (LSBK) Provision for Credit Losses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lake Shore Bancorp's Provision for Credit Losses came in at -$241,000; for FY2025, it came in at -$227,000.
- By year, Provision for Credit Losses came in at -$1.48 million in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Provision for Credit Losses in data going back to Q2 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$113,000 (Q1 2026), $41,000 (Q4 2025) and -$288,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 103.00 Mn |
| 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 | 119,000.00 |
| Mar 31, 2026 | -113,000.00 |
| Dec 31, 2025 | 41,000.00 |
| Sep 30, 2025 | -288,000.00 |
| Mar 31, 2025 | 48,000.00 |
| Dec 31, 2024 | -613,000.00 |
| Sep 30, 2024 | -411,000.00 |
| Jun 30, 2024 | -321,000.00 |
API Access
Lake Shore Bancorp Provision for Credit 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-credit-losses&ticker=LSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=LSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();