ConnectOne Bancorp (CNOB) Professional Fees (2009 - 2026)
ConnectOne Bancorp (CNOB) posted Professional Fees of $3.28 million for Q3 2026, up 11.9% from $2.93 million a year earlier and up 4.8% from the prior quarter.
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Analysis
ConnectOne Bancorp (CNOB) Professional Fees (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Professional Fees at ConnectOne Bancorp was $12.42 million, up 20.1% year-over-year; for FY2025, it came in at $10.8 million, up 27.9% from FY2024.
- Annual Professional Fees shows a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, ConnectOne Bancorp's Professional Fees was $8.45 million in FY2024 (+11.9%), $7.55 million in FY2023 (-6.3%), $8.05 million in FY2022 (-2.8%) and $8.29 million in FY2021 (+12.2%).
- The Q3 2026 figure stands as the highest quarterly Professional Fees in data going back to Q2 2010.
- On a year-over-year basis, Professional Fees has increased in each of the last nine quarters, with growth averaging 28.9% over the last eight quarters.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q4 2024, with growth of 54.3%; the weakest was Q4 2023, with a decline of 26.4%.
- According to Business Quant data, Professional Fees for the three prior quarters was $3.13 million (Q2 2026), $3.11 million (Q1 2026) and $2.91 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | ConnectOne Bancorp | 1.65 Bn | -2.17 Bn | - | 3.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.28 Mn |
| Jun 30, 2026 | 3.13 Mn |
| Mar 31, 2026 | 3.11 Mn |
| Dec 31, 2025 | 2.91 Mn |
| Sep 30, 2025 | 2.93 Mn |
| Jun 30, 2025 | 2.60 Mn |
| Mar 31, 2025 | 2.37 Mn |
| Dec 31, 2024 | 2.45 Mn |
| Sep 30, 2024 | 2.15 Mn |
| Jun 30, 2024 | 1.92 Mn |
| Mar 31, 2024 | 1.93 Mn |
| Dec 31, 2023 | 1.59 Mn |
| Sep 30, 2023 | 1.83 Mn |
| Jun 30, 2023 | 1.93 Mn |
| Mar 31, 2023 | 2.19 Mn |
| Dec 31, 2022 | 2.16 Mn |
| Sep 30, 2022 | 1.98 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 1.79 Mn |
| Sep 30, 2021 | 2.22 Mn |
API Access
ConnectOne Bancorp Professional Fees 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=professional-fees&ticker=CNOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=CNOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();