Xenetic Biosciences (XBIO) Receivables (2014 - 2017)
Xenetic Biosciences (XBIO) posted Receivables of $42,500 for Q3 2017.
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Analysis
Xenetic Biosciences (XBIO) Receivables (2014 - 2017) Analysis & Trends
At the end of FY2016, Xenetic Biosciences' Receivables came in at $3 million.
- Annual Receivables shows a four-year compound annual growth rate of 146.0% (FY2012 to FY2016).
- In prior years, Xenetic Biosciences' Receivables was $115,775 in FY2014 (-54.8%), $256,015 in FY2013 (+212.5%) and $81,926 in FY2012.
- The Q3 2017 figure stands as the lowest quarterly Receivables since Q2 2015.
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 | Xenetic Biosciences | 5.46 Mn | -20.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 42,500.00 |
| Dec 31, 2016 | 3.00 Mn |
| Jun 30, 2015 | 1,722.00 |
| Mar 31, 2015 | 81,090.00 |
| Dec 31, 2014 | 115,775.00 |
| Sep 30, 2014 | 218,373.00 |
| Jun 30, 2014 | 182,762.00 |
| Mar 31, 2014 | 245,737.00 |
API Access
Xenetic Biosciences 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=XBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "XBIO", "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=XBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();