Shore Bancshares (SHBI) Shares Outstanding (Diluted) (2010 - 2026)
Shore Bancshares (SHBI) recorded Shares Outstanding (Diluted) of 33.48 million in Q2 2026, up 0.3% from 33.39 million a year earlier and up 0.1% from the prior quarter.
Shore Bancshares (SHBI) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Shore Bancshares reported Shares Outstanding (Diluted) of 33.41 million, up 0.4% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 33.29 million in FY2024 (+25.3%), 26.57 million in FY2023 (+33.9%), 19.85 million in FY2022 (+51.3%) and 13.12 million in FY2021 (+6.0%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2010.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 19 consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 68.9% in Q3 2022, against a decline of 5.8% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 33.45 million (Q1 2026), 33.41 million (Q4 2025) and 33.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 3.07 Bn |
| 10 | Shore Bancshares | 768.58 Mn | -602.00 Mn | - | 33.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.48 Mn |
| Mar 31, 2026 | 33.45 Mn |
| Dec 31, 2025 | 33.41 Mn |
| Sep 30, 2025 | 33.44 Mn |
| Jun 30, 2025 | 33.39 Mn |
| Mar 31, 2025 | 33.38 Mn |
| Dec 31, 2024 | 33.29 Mn |
| Sep 30, 2024 | 33.34 Mn |
| Jun 30, 2024 | 33.23 Mn |
| Mar 31, 2024 | 33.19 Mn |
| Dec 31, 2023 | 26.57 Mn |
| Sep 30, 2023 | 33.13 Mn |
| Jun 30, 2023 | 19.90 Mn |
| Mar 31, 2023 | 19.89 Mn |
| Dec 31, 2022 | 19.85 Mn |
| Sep 30, 2022 | 19.85 Mn |
| Jun 30, 2022 | 19.85 Mn |
| Mar 31, 2022 | 19.83 Mn |
| Dec 31, 2021 | 13.12 Mn |
| Sep 30, 2021 | 11.75 Mn |
Shore Bancshares Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SHBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SHBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();