Shore Bancshares (SHBI) Provision for Credit Losses (2010 - 2026)
Shore Bancshares (SHBI) posted Provision for Credit Losses of $5.27 million for Q3 2026, up 76.1% from $2.99 million a year earlier and up 487.9% from the prior quarter.
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Analysis
Shore Bancshares (SHBI) Provision for Credit Losses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Provision for Credit Losses at Shore Bancshares was $9.56 million, up 56.1% year-over-year; for FY2025, it came in at $8.38 million, up 76.8% from FY2024.
- In prior years, Shore Bancshares' Provision for Credit Losses was $4.74 million in FY2024 (-84.7%), $30.95 million in FY2023, $1.93 million in FY2022 and -$358,000 in FY2021.
- The Q3 2026 figure stands as the highest quarterly Provision for Credit Losses since Q3 2023.
- On a year-over-year basis, Provision for Credit Losses increased in four of the last eight quarters, with growth averaging 61.7%.
- The strongest year-over-year quarter for Provision for Credit Losses in the past five years was Q4 2025, with growth of 405.4%; the weakest was Q3 2024, with a decline of 94.8%.
- According to Business Quant data, Provision for Credit Losses for the three prior quarters was $896,000 (Q2 2026), $492,000 (Q1 2026) and $2.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.24 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 103.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | Shore Bancshares | 749.43 Mn | -659.68 Mn | - | 5.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.67 Mn |
| Jun 30, 2026 | 896,000.00 |
| Mar 31, 2026 | 492,000.00 |
| Dec 31, 2025 | 2.90 Mn |
| Sep 30, 2025 | 2.99 Mn |
| Jun 30, 2025 | 1.53 Mn |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 574,000.00 |
| Sep 30, 2024 | 1.48 Mn |
| Jun 30, 2024 | 2.08 Mn |
| Mar 31, 2024 | 550,000.00 |
| Dec 31, 2023 | 1.33 Mn |
| Sep 30, 2023 | 28.18 Mn |
| Jun 30, 2023 | 667,000.00 |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 450,000.00 |
| Sep 30, 2022 | 675,000.00 |
| Jun 30, 2022 | 200,000.00 |
| Mar 31, 2022 | 600,000.00 |
| Dec 31, 2021 | -1.72 Mn |
API Access
Shore Bancshares 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=SHBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "SHBI", "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=SHBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();