Shore Bancshares (SHBI) Operating Expenses (2010 - 2026)
Shore Bancshares' Operating Expenses came in at $35.67 million for Q2 2026, up 3.7% from $34.41 million a year earlier but down 3.7% from the prior quarter.
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Analysis
Shore Bancshares (SHBI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Shore Bancshares reported Operating Expenses of $142.6 million, up 4.7% year-over-year; for FY2025, it was $138.04 million, down 0.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 29.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $138.25 million in FY2024 (+12.1%), $123.33 million in FY2023 (+53.5%), $80.32 million in FY2022 (+41.4%) and $56.81 million in FY2021 (+47.9%).
- The five-year range for quarterly Operating Expenses is $11.94 million (Q3 2021) to $47.16 million (Q3 2023).
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 149.5%), and the weakest in Q3 2024 (a decline of 27.7%).
- Business Quant data shows SHBI's Operating Expenses at $37.06 million (Q1 2026), $35.5 million (Q4 2025) and $34.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Shore Bancshares | 748.19 Mn | -622.38 Mn | - | 35.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.67 Mn |
| Mar 31, 2026 | 37.06 Mn |
| Dec 31, 2025 | 35.50 Mn |
| Sep 30, 2025 | 34.38 Mn |
| Jun 30, 2025 | 34.41 Mn |
| Mar 31, 2025 | 33.75 Mn |
| Dec 31, 2024 | 33.94 Mn |
| Sep 30, 2024 | 34.11 Mn |
| Jun 30, 2024 | 33.50 Mn |
| Mar 31, 2024 | 36.70 Mn |
| Dec 31, 2023 | 33.67 Mn |
| Sep 30, 2023 | 47.16 Mn |
| Jun 30, 2023 | 21.61 Mn |
| Mar 31, 2023 | 20.89 Mn |
| Dec 31, 2022 | 21.00 Mn |
| Sep 30, 2022 | 18.90 Mn |
| Jun 30, 2022 | 20.09 Mn |
| Mar 31, 2022 | 20.33 Mn |
| Dec 31, 2021 | 23.50 Mn |
| Sep 30, 2021 | 11.94 Mn |
API Access
Shore Bancshares Operating Expenses 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=operating-expenses&ticker=SHBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SHBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();