ConnectOne Bancorp (CNOB) Shares Outstanding (2010 - 2026)
ConnectOne Bancorp's Shares Outstanding was 50.3 million in Q2 2026, up 19.5% from 42.1 million a year earlier and up 0.1% from the prior quarter.
Powered by 
Analysis
ConnectOne Bancorp (CNOB) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at ConnectOne Bancorp came in at 45.3 million, up 18.1% from FY2024.
- Shares Outstanding shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 38.38 million in FY2024 (-1.4%), 38.91 million in FY2023 (-1.1%), 39.36 million in FY2022 (-0.9%) and 39.72 million in FY2021 (+0.2%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q2 2010.
- Compared with a year earlier, Shares Outstanding has increased for five straight quarters, with growth averaging 13.3% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was Q1 2026 (growth of 31.0%); the worst was Q1 2024 (a decline of 1.9%).
- Per Business Quant data, CNOB's Shares Outstanding in the three quarters before Q2 2026 was 50.25 million (Q1 2026), 45.3 million (Q4 2025) and 50.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | ConnectOne Bancorp | 1.63 Bn | 1.63 Bn | - | 50.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.30 Mn |
| Mar 31, 2026 | 50.25 Mn |
| Dec 31, 2025 | 45.30 Mn |
| Sep 30, 2025 | 50.27 Mn |
| Jun 30, 2025 | 42.10 Mn |
| Mar 31, 2025 | 38.37 Mn |
| Dec 31, 2024 | 38.38 Mn |
| Sep 30, 2024 | 38.43 Mn |
| Jun 30, 2024 | 38.42 Mn |
| Mar 31, 2024 | 38.42 Mn |
| Dec 31, 2023 | 38.91 Mn |
| Sep 30, 2023 | 38.82 Mn |
| Jun 30, 2023 | 39.08 Mn |
| Mar 31, 2023 | 39.18 Mn |
| Dec 31, 2022 | 39.36 Mn |
| Sep 30, 2022 | 39.24 Mn |
| Jun 30, 2022 | 39.38 Mn |
| Mar 31, 2022 | 39.56 Mn |
| Dec 31, 2021 | 39.72 Mn |
| Sep 30, 2021 | 39.87 Mn |
API Access
ConnectOne Bancorp Shares Outstanding 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&ticker=CNOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "CNOB", "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&ticker=CNOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();