Xenetic Biosciences (XBIO) Long-Term Debt Repayments (2015 - 2016)
Xenetic Biosciences (XBIO) posted Long-Term Debt Repayments of $137,699 for Q4 2016.
Analysis
Xenetic Biosciences (XBIO) Long-Term Debt Repayments (2015 - 2016) Analysis & Trends
For FY2016, Xenetic Biosciences' Long-Term Debt Repayments came in at $380,170, up 280.2% from FY2015.
- Annual Long-Term Debt Repayments shows a four-year compound annual growth rate of -14.3% (FY2012 to FY2016).
- In prior years, Xenetic Biosciences' Long-Term Debt Repayments was $100,000 in FY2015 (-65.1%), $286,124 in FY2014 and $706,201 in FY2012.
- Quarterly Long-Term Debt Repayments has run from a low of $5,423 in Q2 2016 to a high of $237,048 in Q1 2016 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Xenetic Biosciences | 4.61 Mn | -21.22 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 507,657.00 |
| Jun 30, 2016 | 5,423.00 |
| Mar 31, 2016 | 237,048.00 |
| Sep 30, 2015 | 100,000.00 |
API Access
Xenetic Biosciences Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=XBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=XBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();