Cellectar Biosciences (CLRB) Debt Ratio (2010 - 2020)
Cellectar Biosciences' (CLRB) Debt Ratio came in at 0.01 for Q3 2020, up 15.2% from the prior quarter.
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Analysis
Cellectar Biosciences (CLRB) Debt Ratio (2010 - 2020) Analysis & Trends
Since Q4 2010, Cellectar Biosciences has reported Debt Ratio for 26 quarters.
- In prior years, Cellectar Biosciences' Debt Ratio was 0.04 in FY2015 (+29.6%), 0.03 in FY2014 (-49.2%), 0.07 in FY2013 (+68.4%) and 0.04 in FY2012 (-8.0%).
- The Q3 2020 figure stands as the highest quarterly Debt Ratio since Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 0.39 |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 0.24 |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 0.52 |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 0.42 |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 0.08 |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 0.28 |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 0.60 |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 0.53 |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 0.31 |
| 10 | Cellectar Biosciences | 15.41 Mn | -55.37 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 0.01 |
| Jun 30, 2020 | 0.01 |
| Dec 31, 2016 | 0.01 |
| Sep 30, 2016 | 0.02 |
| Jun 30, 2016 | 0.02 |
| Mar 31, 2016 | 0.05 |
| Dec 31, 2015 | 0.04 |
| Sep 30, 2015 | 0.06 |
| Jun 30, 2015 | 0.05 |
| Mar 31, 2015 | 0.04 |
| Dec 31, 2014 | 0.03 |
| Sep 30, 2014 | 0.03 |
| Jun 30, 2014 | 0.08 |
| Mar 31, 2014 | 0.06 |
| Dec 31, 2013 | 0.07 |
| Sep 30, 2013 | 0.05 |
| Jun 30, 2013 | 0.04 |
| Mar 31, 2013 | 0.03 |
| Dec 31, 2012 | 0.04 |
| Sep 30, 2012 | 0.04 |
API Access
Cellectar Biosciences 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=CLRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "CLRB", "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=CLRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();