Xenetic Biosciences (XBIO) Capital Expenditures (2014 - 2017)
Xenetic Biosciences (XBIO) posted Capital Expenditures of $9,264 for FY2017, down 44.8% from $16,793 in FY2016.
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Analysis
Xenetic Biosciences (XBIO) Capital Expenditures (2014 - 2017) Analysis & Trends
Since FY2011, Xenetic Biosciences has reported Capital Expenditures for 7 years.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -41.0% (FY2012 to FY2017).
- Annual Capital Expenditures has run from a low of $1,663 in FY2015 to a high of $78,634 in FY2013 over five years.
- Business Quant data shows XBIO's Capital Expenditures at $16,793 in FY2016 (+909.8%), $1,663 in FY2015 (-97.1%), $57,669 in FY2014 (-26.7%) and $78,634 in FY2013 (-39.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Xenetic Biosciences | 5.44 Mn | -20.39 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 3,835.00 |
| Mar 31, 2017 | 5,429.00 |
| Dec 31, 2016 | 2,180.00 |
| Mar 31, 2016 | 14,613.00 |
| Jun 30, 2015 | 1,663.00 |
| Dec 31, 2014 | 11,660.00 |
| Sep 30, 2014 | 6,425.00 |
| Jun 30, 2014 | 22,592.00 |
| Mar 31, 2014 | 16,992.00 |
API Access
Xenetic Biosciences Capital Expenditures 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=capital-expenditures&ticker=XBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=XBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();