Xtl Biopharmaceuticals (XTLB) Capital Expenditures (2011 - 2015)
Xtl Biopharmaceuticals (XTLB) reported Capital Expenditures of -$54,000 for the year ended Dec 31, 2024.
Analysis
Xtl Biopharmaceuticals (XTLB) Capital Expenditures (2011 - 2015) Analysis & Trends
Dating back to the year ended Dec 31, 2010, Xtl Biopharmaceuticals' Capital Expenditures record includes 10 years.
- The figure for the year ended Dec 31, 2024 ranks as the highest annual Capital Expenditures since the year ended Dec 31, 2020.
- According to Business Quant data, Capital Expenditures came in at -$1,000 in the year ended Dec 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Xtl Biopharmaceuticals | 2.11 Bn | 2.11 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | -2,000.00 |
| Dec 31, 2014 | 2,000.00 |
| Jun 30, 2014 | -4,000.00 |
| Mar 31, 2014 | -6,000.00 |
| Dec 31, 2013 | -74,000.00 |
| Jun 30, 2013 | -2,000.00 |
| Mar 31, 2013 | -8,000.00 |
| Dec 31, 2012 | -4,000.00 |
| Sep 30, 2012 | -1,000.00 |
| Mar 31, 2012 | -1,000.00 |
| Dec 31, 2011 | -1,000.00 |
| Jun 30, 2011 | -2,000.00 |
| Mar 31, 2011 | -9,000.00 |
API Access
Xtl Biopharmaceuticals 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=XTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "XTLB", "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=XTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();