ConnectOne Bancorp (CNOB) Long-Term Debt (2013 - 2019)
ConnectOne Bancorp (CNOB) posted Long-Term Debt of $500.29 million for Q4 2019, down 16.6% from $600 million a year earlier.
Powered by 
Analysis
ConnectOne Bancorp (CNOB) Long-Term Debt (2013 - 2019) Analysis & Trends
Since Q4 2013, ConnectOne Bancorp has reported Long-Term Debt for 11 quarters.
- Annual Long-Term Debt shows a five-year compound annual growth rate of 0.2% (FY2014 to FY2019).
- In prior years, ConnectOne Bancorp's Long-Term Debt was $600 million in FY2018 (-10.5%), $670.08 million in FY2017 (+40.7%) and $476.28 million in FY2016.
- The Q4 2019 figure stands as the lowest quarterly Long-Term Debt since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 460.16 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 3,598.37 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 318.69 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 298.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 182.85 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | ConnectOne Bancorp | 1.65 Bn | -2.17 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 500.29 Mn |
| Dec 31, 2018 | 600.00 Mn |
| Dec 31, 2017 | 670.08 Mn |
| Dec 31, 2016 | 476.28 Mn |
| Sep 30, 2015 | 621.67 Mn |
| Jun 30, 2015 | 548.76 Mn |
| Mar 31, 2015 | 525.15 Mn |
| Dec 31, 2014 | 495.55 Mn |
| Sep 30, 2014 | 420.96 Mn |
| Jun 30, 2014 | 196.00 Mn |
| Dec 31, 2013 | 146.00 Mn |
API Access
ConnectOne Bancorp Long-Term Debt 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=long-term-debt&ticker=CNOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "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=long-term-debt&ticker=CNOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();