SELLAS Life Sciences (SLS) Intangibles (2011 - 2017)
SELLAS Life Sciences' Intangibles came in at $17.6 million for Q4 2017.
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Analysis
SELLAS Life Sciences (SLS) Intangibles (2011 - 2017) Analysis & Trends
Going back to Q2 2011, SELLAS Life Sciences' Intangibles data covers 12 quarters.
- Intangibles carries a four-year compound annual growth rate of 4.1% (FY2013 to FY2017).
- Going back by year, Intangibles was $14.53 million in FY2014 (-3.0%) and $14.98 million in FY2013.
- The Q4 2017 figure represents the highest quarterly Intangibles in data going back to Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 412.80 Mn |
| 10 | SELLAS Life Sciences | 2.49 Bn | 2.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 17.60 Mn |
| Jun 30, 2015 | 13.95 Mn |
| Mar 31, 2015 | 14.39 Mn |
| Dec 31, 2014 | 14.53 Mn |
| Sep 30, 2014 | 14.71 Mn |
| Jun 30, 2014 | 14.78 Mn |
| Mar 31, 2014 | 14.88 Mn |
| Dec 31, 2013 | 14.98 Mn |
| Sep 30, 2013 | 15.03 Mn |
| Jun 30, 2013 | 15.08 Mn |
| Mar 31, 2013 | 15.09 Mn |
| Jun 30, 2011 | 12.86 Mn |
API Access
SELLAS Life Sciences 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=intangibles&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "SLS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();