ConnectOne Bancorp (CNOB) Revenue (2009 - 2026)
ConnectOne Bancorp (CNOB) posted Revenue of $121.57 million for Q2 2026, up 44.6% from $84.07 million a year earlier and up 5.2% from the prior quarter.
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Analysis
ConnectOne Bancorp (CNOB) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at ConnectOne Bancorp was $471.21 million, up 63.4% year-over-year; for FY2025, it was $388.32 million, up 47.1% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In prior years, ConnectOne Bancorp's Revenue was $264.07 million in FY2024 (-1.9%), $269.11 million in FY2023 (-14.7%), $315.36 million in FY2022 (+13.2%) and $278.57 million in FY2021 (+10.4%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q2 2010.
- On a year-over-year basis, Revenue has increased in each of the last seven quarters, with growth averaging 37.4% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2025, with growth of 85.0%; the weakest was Q3 2023, with a decline of 19.1%.
- According to Business Quant data, Revenue for the three prior quarters was $115.6 million (Q1 2026), $112.62 million (Q4 2025) and $121.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.94 Bn |
| 10 | ConnectOne Bancorp | 1.65 Bn | -2.17 Bn | - | 102.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 102.80 Mn |
| Jun 30, 2026 | 121.57 Mn |
| Mar 31, 2026 | 115.60 Mn |
| Dec 31, 2025 | 112.62 Mn |
| Sep 30, 2025 | 121.43 Mn |
| Jun 30, 2025 | 84.07 Mn |
| Mar 31, 2025 | 70.21 Mn |
| Dec 31, 2024 | 68.46 Mn |
| Sep 30, 2024 | 65.62 Mn |
| Jun 30, 2024 | 65.84 Mn |
| Mar 31, 2024 | 64.15 Mn |
| Dec 31, 2023 | 66.03 Mn |
| Sep 30, 2023 | 65.92 Mn |
| Jun 30, 2023 | 67.28 Mn |
| Mar 31, 2023 | 69.88 Mn |
| Dec 31, 2022 | 81.52 Mn |
| Sep 30, 2022 | 81.48 Mn |
| Jun 30, 2022 | 78.95 Mn |
| Mar 31, 2022 | 73.41 Mn |
| Dec 31, 2021 | 70.46 Mn |
API Access
ConnectOne Bancorp Revenue 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=revenue&ticker=CNOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CNOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();