Shore Bancshares (SHBI) Provision for Losses (2011 - 2026)
Shore Bancshares (SHBI) posted Provision for Losses of $896,000 for Q2 2026, down 41.4% from $1.53 million a year earlier but up 954.1% from the prior quarter.
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Analysis
Shore Bancshares (SHBI) Provision for Losses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at Shore Bancshares was $6.8 million, up 41.5% year-over-year; for FY2025, it came in at $8.38 million, up 76.8% from FY2024.
- Annual Provision for Losses shows a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- In prior years, Shore Bancshares' Provision for Losses was $4.74 million in FY2024 (-84.7%), $30.95 million in FY2023, $1.93 million in FY2022 and -$358,000 in FY2021.
- Quarterly Provision for Losses has run from a low of -$1.72 million in Q4 2021 to a high of $28.18 million in Q3 2023 over five years.
- On a year-over-year basis, Provision for Losses increased in three of the last eight quarters, with growth averaging 31.4%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q4 2025, with growth of 262.4%; the weakest was Q3 2024, with a decline of 94.8%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $85,000 (Q1 2026), $2.83 million (Q4 2025) and $2.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.30 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 | - | - |
| 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 | - | 5.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.27 Mn |
| Jun 30, 2026 | 896,000.00 |
| Mar 31, 2026 | 85,000.00 |
| Dec 31, 2025 | 2.83 Mn |
| Sep 30, 2025 | 2.99 Mn |
| Jun 30, 2025 | 1.53 Mn |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 780,000.00 |
| Sep 30, 2024 | 1.47 Mn |
| Jun 30, 2024 | 2.08 Mn |
| Mar 31, 2024 | 407,000.00 |
| Dec 31, 2023 | 897,000.00 |
| 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 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=SHBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-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-losses&ticker=SHBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();