Shore Bancshares (SHBI) Operating Expenses (2010 - 2026)
Shore Bancshares' Operating Expenses came in at $35.26 million for Q3 2026, up 2.6% from $34.38 million a year earlier but down 1.1% from the prior quarter.
Shore Bancshares (SHBI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Shore Bancshares reported Operating Expenses of $143.49 million, up 5.1% 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 $18.9 million (Q3 2022) to $47.16 million (Q3 2023).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 2.1% 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 $35.67 million (Q2 2026), $37.06 million (Q1 2026) and $35.5 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 27.30 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 19.72 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 8.82 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 7.02 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 13.71 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 11.31 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 13.74 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 17.50 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 14.55 Bn |
| 10 | Shore Bancshares | 749.43 Mn | -659.68 Mn | - | 35.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.26 Mn |
| 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 |
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_KEY
import 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();