Cellectar Biosciences (CLRB) Total Non-Current Liabilities (2010 - 2020)
Cellectar Biosciences' Total Non-Current Liabilities was $301,740 in Q4 2020, down 28.4% from $421,644 a year earlier and down 41.7% from the prior quarter.
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Analysis
Cellectar Biosciences (CLRB) Total Non-Current Liabilities (2010 - 2020) Analysis & Trends
From Q4 2010 onward, Cellectar Biosciences has reported Total Non-Current Liabilities for 39 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 4.4% (FY2015 to FY2020).
- In earlier years, Total Non-Current Liabilities was $421,644 in FY2019 (+146.6%), $170,999 in FY2018, $2,213 in FY2017 (-98.5%) and $151,832 in FY2016 (-37.7%).
- The Q4 2020 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2018.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last five quarters, with growth averaging 25.3%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2019 (growth of 146.6%); the worst was Q2 2018 (a decline of 99.6%).
- Per Business Quant data, CLRB's Total Non-Current Liabilities in the three quarters before Q4 2020 was $517,375 (Q3 2020), $547,534 (Q2 2020) and $392,950 (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Cellectar Biosciences | 22.38 Mn | 22.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 301,740.00 |
| Sep 30, 2020 | 517,375.00 |
| Jun 30, 2020 | 547,534.00 |
| Mar 31, 2020 | 392,950.00 |
| Dec 31, 2019 | 421,644.00 |
| Sep 30, 2019 | 449,632.00 |
| Jun 30, 2019 | 476,247.00 |
| Mar 31, 2019 | 502,207.00 |
| Dec 31, 2018 | 170,999.00 |
| Jun 30, 2018 | 568.00 |
| Mar 31, 2018 | 1,402.00 |
| Dec 31, 2017 | 2,213.00 |
| Sep 30, 2017 | 146,043.00 |
| Jun 30, 2017 | 147,923.00 |
| Mar 31, 2017 | 149,887.00 |
| Dec 31, 2016 | 151,832.00 |
| Sep 30, 2016 | 153,758.00 |
| Jun 30, 2016 | 154,922.00 |
| Mar 31, 2016 | 180,805.00 |
| Dec 31, 2015 | 243,531.00 |
API Access
Cellectar Biosciences Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CLRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CLRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();