Xtl Biopharmaceuticals (XTLB) Change in Intangibles (2013 - 2015)
Xtl Biopharmaceuticals' Change in Intangibles came in at $127,000 for the year ended Dec 31, 2017, compared with -$64,000 a year earlier.
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Analysis
Xtl Biopharmaceuticals (XTLB) Change in Intangibles (2013 - 2015) Analysis & Trends
Going back to the year ended Dec 31, 2012, Xtl Biopharmaceuticals' Change in Intangibles data covers 6 years.
- The figure for the year ended Dec 31, 2017 represents the highest annual Change in Intangibles in data going back to the year ended Dec 31, 2012.
- Per Business Quant, earlier years put Change in Intangibles at -$64,000 in the year ended Dec 31, 2016, -$64,000 in the year ended Dec 31, 2015, -$2,000 in the year ended Dec 31, 2014 and -$84,000 in the year ended Dec 31, 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.28 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | - |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -437.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -2.34 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | - |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Xtl Biopharmaceuticals | 2.03 Bn | 2.03 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | -64,000.00 |
| Dec 31, 2013 | -11,000.00 |
| Mar 31, 2013 | -73,000.00 |
API Access
Xtl Biopharmaceuticals Change in Intangibles 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=change-in-intangibles&ticker=XTLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-intangibles", "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=change-in-intangibles&ticker=XTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();