ConnectOne Bancorp (CNOB) Operating Expenses (2010 - 2026)
ConnectOne Bancorp (CNOB) reported Operating Expenses of $55.42 million for Q2 2026, down 24.8% from $73.65 million a year earlier and down 4.2% from the prior quarter.
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Analysis
ConnectOne Bancorp (CNOB) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ConnectOne Bancorp's Operating Expenses came in at $228.9 million, up 20.4% year-over-year; for FY2025, it came in at $228.57 million, up 50.6% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $151.8 million in FY2024 (+5.5%), $143.95 million in FY2023 (+13.9%), $126.39 million in FY2022 (+15.9%) and $109.01 million in FY2021 (-9.9%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 29.2%.
- The high point for year-over-year Operating Expenses in five years was Q2 2025 (growth of 95.9%); the low point was Q2 2026 (a decline of 24.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $57.87 million (Q1 2026), $56.95 million (Q4 2025) and $58.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | ConnectOne Bancorp | 1.63 Bn | 1.63 Bn | - | 55.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.42 Mn |
| Mar 31, 2026 | 57.87 Mn |
| Dec 31, 2025 | 56.95 Mn |
| Sep 30, 2025 | 58.67 Mn |
| Jun 30, 2025 | 73.65 Mn |
| Mar 31, 2025 | 39.31 Mn |
| Dec 31, 2024 | 38.50 Mn |
| Sep 30, 2024 | 38.64 Mn |
| Jun 30, 2024 | 37.59 Mn |
| Mar 31, 2024 | 37.07 Mn |
| Dec 31, 2023 | 37.85 Mn |
| Sep 30, 2023 | 35.78 Mn |
| Jun 30, 2023 | 35.45 Mn |
| Mar 31, 2023 | 34.87 Mn |
| Dec 31, 2022 | 33.31 Mn |
| Sep 30, 2022 | 32.14 Mn |
| Jun 30, 2022 | 31.70 Mn |
| Mar 31, 2022 | 29.23 Mn |
| Dec 31, 2021 | 28.08 Mn |
| Sep 30, 2021 | 28.18 Mn |
API Access
ConnectOne Bancorp 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=operating-expenses&ticker=CNOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=CNOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();