ConnectOne Bancorp (CNOB) Debt Ratio (2012 - 2025)
ConnectOne Bancorp's Debt Ratio was 0.06 in Q4 2025, down 7.4% from 0.07 a year earlier.
Analysis
ConnectOne Bancorp (CNOB) Debt Ratio (2012 - 2025) Analysis & Trends
From Q4 2012 onward, ConnectOne Bancorp has reported Debt Ratio for 21 quarters.
- In earlier years, Debt Ratio was 0.07 in FY2024 (-26.5%), 0.09 in FY2023 (+6.5%), 0.09 in FY2022 (+54.4%) and 0.06 in FY2021 (+2.0%).
- Quarterly Debt Ratio has moved between 0.05 (Q1 2022) and 0.09 (Q4 2023) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 0.01 |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 0.05 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 0.02 |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 0.02 |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 0.22 |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 0.04 |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 0.21 |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 0.01 |
| 10 | ConnectOne Bancorp | 1.63 Bn | 1.63 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.06 |
| Mar 31, 2025 | 0.06 |
| Dec 31, 2024 | 0.07 |
| Dec 31, 2023 | 0.09 |
| Dec 31, 2022 | 0.09 |
| Mar 31, 2022 | 0.05 |
| Dec 31, 2021 | 0.06 |
| Dec 31, 2020 | 0.06 |
| Mar 31, 2020 | 0.10 |
| Dec 31, 2019 | 0.08 |
| Dec 31, 2018 | 0.02 |
| Dec 31, 2017 | 0.01 |
| Dec 31, 2016 | 0.01 |
| Sep 30, 2015 | 0.01 |
| Jun 30, 2015 | 0.02 |
| Mar 31, 2015 | 0.00 |
| Dec 31, 2014 | 0.00 |
| Sep 30, 2014 | 0.00 |
| Jun 30, 2014 | 0.00 |
| Dec 31, 2013 | 0.00 |
API Access
ConnectOne Bancorp Debt Ratio 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=debt-ratio&ticker=CNOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=CNOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();