ConnectOne Bancorp (CNOB) Interest Expenses (2010 - 2026)
ConnectOne Bancorp (CNOB) recorded Interest Expenses of $79.27 million in Q2 2026, up 18.1% from $67.15 million a year earlier and up 4.9% from the prior quarter.
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Analysis
ConnectOne Bancorp (CNOB) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, ConnectOne Bancorp's Interest Expenses came in at $320.3 million as of Jun 30, 2026, up 23.7% year-over-year; for FY2025, it was $291.62 million, up 7.8% from FY2024.
- Annual Interest Expenses has increased for four straight years, with a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $270.55 million in FY2024 (+15.1%), $234.96 million in FY2023 (+228.0%), $71.63 million in FY2022 (+84.3%) and $38.86 million in FY2021 (-44.7%).
- Quarterly Interest Expenses has ranged from $8.58 million in Q4 2021 to $85.69 million in Q3 2025 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for four consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 488.7% in Q2 2023, against a decline of 47.3% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $75.59 million (Q1 2026), $79.75 million (Q4 2025) and $85.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | ConnectOne Bancorp | 1.63 Bn | 1.63 Bn | - | 79.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.27 Mn |
| Mar 31, 2026 | 75.59 Mn |
| Dec 31, 2025 | 79.75 Mn |
| Sep 30, 2025 | 85.69 Mn |
| Jun 30, 2025 | 67.15 Mn |
| Mar 31, 2025 | 59.03 Mn |
| Dec 31, 2024 | 63.32 Mn |
| Sep 30, 2024 | 69.36 Mn |
| Jun 30, 2024 | 68.57 Mn |
| Mar 31, 2024 | 69.31 Mn |
| Dec 31, 2023 | 67.14 Mn |
| Sep 30, 2023 | 61.33 Mn |
| Jun 30, 2023 | 57.48 Mn |
| Mar 31, 2023 | 49.01 Mn |
| Dec 31, 2022 | 34.46 Mn |
| Sep 30, 2022 | 18.82 Mn |
| Jun 30, 2022 | 9.77 Mn |
| Mar 31, 2022 | 8.58 Mn |
| Dec 31, 2021 | 8.58 Mn |
| Sep 30, 2021 | 8.78 Mn |
API Access
ConnectOne Bancorp Interest 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=interest-expenses&ticker=CNOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=CNOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();