Xenetic Biosciences (XBIO) Total Debt (2011 - 2016)
Xenetic Biosciences (XBIO) posted Total Debt of $1.14 million for Q3 2016, down 59.7% from $2.81 million a year earlier.
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Analysis
Xenetic Biosciences (XBIO) Total Debt (2011 - 2016) Analysis & Trends
At the end of FY2015, Xenetic Biosciences' Total Debt came in at $3.65 million.
- Annual Total Debt shows a four-year compound annual growth rate of 103.5% (FY2011 to FY2015).
- In prior years, Xenetic Biosciences' Total Debt was $425,626 in FY2013 (+100.0%), $212,813 in FY2012 (unchanged) and $212,813 in FY2011.
- The Q3 2016 figure stands as the lowest quarterly Total Debt since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Xenetic Biosciences | 5.46 Mn | -20.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 1.14 Mn |
| Mar 31, 2016 | 7.00 Mn |
| Dec 31, 2015 | 3.65 Mn |
| Sep 30, 2015 | 2.81 Mn |
| Nov 30, 2013 | 532,813.00 |
| Aug 31, 2013 | 425,626.00 |
| May 31, 2013 | 212,813.00 |
| Feb 28, 2013 | 212,813.00 |
| Nov 30, 2012 | 212,813.00 |
| Aug 31, 2012 | 212,813.00 |
| May 31, 2012 | 212,813.00 |
| Feb 29, 2012 | 212,813.00 |
| Aug 31, 2011 | 212,813.00 |
API Access
Xenetic Biosciences Total 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=total-debt&ticker=XBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=XBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();