Bioxytran (BIXT) Receivables (2012 - 2019)
Bioxytran's Receivables came in at $50,000 for Q4 2019.
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Analysis
Bioxytran (BIXT) Receivables (2012 - 2019) Analysis & Trends
Going back to Q1 2012, Bioxytran's Receivables data covers 21 quarters.
- Receivables carries a three-year compound annual growth rate of 73.3% (FY2016 to FY2019).
- Going back by year, Receivables was $22,959 in FY2017 (+139.2%) and $9,600 in FY2016.
- The Q4 2019 figure represents the highest quarterly Receivables since Q3 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Bioxytran | 2.29 Mn | 1.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 50,000.00 |
| Jun 30, 2018 | 4,800.00 |
| Mar 31, 2018 | 2,039.00 |
| Dec 31, 2017 | 22,959.00 |
| Sep 30, 2017 | 36,269.00 |
| Dec 31, 2016 | 9,600.00 |
| Sep 30, 2016 | 30,240.00 |
| Sep 30, 2015 | 21,742.00 |
| Jun 30, 2015 | 40,342.00 |
| Mar 31, 2015 | 2,317.00 |
| Sep 30, 2014 | 75,434.00 |
| Jun 30, 2014 | 91,098.00 |
| Mar 31, 2014 | 119,156.00 |
| Dec 31, 2013 | 58,328.00 |
| Sep 30, 2013 | 38,208.00 |
| Jun 30, 2013 | 47,673.00 |
| Mar 31, 2013 | 49,702.00 |
| Dec 31, 2012 | 27,406.00 |
| Sep 30, 2012 | 38,544.00 |
| Jun 30, 2012 | 112,937.00 |
API Access
Bioxytran Receivables 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=receivables&ticker=BIXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "BIXT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=BIXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();