ConnectOne Bancorp (CNOB) Other Operating Expenses (2010 - 2026)
ConnectOne Bancorp's Other Operating Expenses came in at $4.03 million for Q2 2026, up 48.4% from $2.71 million a year earlier and up 14.7% from the prior quarter.
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Analysis
ConnectOne Bancorp (CNOB) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ConnectOne Bancorp reported Other Operating Expenses of $15.11 million, up 41.0% year-over-year; for FY2025, it came in at $13.04 million, up 16.7% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $11.17 million in FY2024 (-0.1%), $11.19 million in FY2023 (+26.1%), $8.87 million in FY2022 (+7.1%) and $8.29 million in FY2021 (-19.1%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q4 2014.
- Year-over-year, Other Operating Expenses has increased for four consecutive quarters, with growth averaging 17.2% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2025 (growth of 52.1%), and the weakest in Q4 2021 (a decline of 23.6%).
- Business Quant data shows CNOB's Other Operating Expenses at $3.51 million (Q1 2026), $3.85 million (Q4 2025) and $3.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | ConnectOne Bancorp | 1.63 Bn | 1.63 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.03 Mn |
| Mar 31, 2026 | 3.51 Mn |
| Dec 31, 2025 | 3.85 Mn |
| Sep 30, 2025 | 3.72 Mn |
| Jun 30, 2025 | 2.71 Mn |
| Mar 31, 2025 | 2.76 Mn |
| Dec 31, 2024 | 2.53 Mn |
| Sep 30, 2024 | 2.71 Mn |
| Jun 30, 2024 | 3.12 Mn |
| Mar 31, 2024 | 2.81 Mn |
| Dec 31, 2023 | 2.82 Mn |
| Sep 30, 2023 | 2.77 Mn |
| Jun 30, 2023 | 2.83 Mn |
| Mar 31, 2023 | 2.76 Mn |
| Dec 31, 2022 | 2.49 Mn |
| Sep 30, 2022 | 2.34 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 1.93 Mn |
| Dec 31, 2021 | 2.00 Mn |
| Sep 30, 2021 | 2.22 Mn |
API Access
ConnectOne Bancorp Other 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=other-operating-expenses&ticker=CNOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=CNOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();