SELLAS Life Sciences (SLS) Non-Current Debt (2013 - 2018)
SELLAS Life Sciences (SLS) reported Non-Current Debt of $1.15 million for Q1 2018, down 56.0% from the prior quarter.
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Analysis
SELLAS Life Sciences (SLS) Non-Current Debt (2013 - 2018) Analysis & Trends
At the end of FY2017, SELLAS Life Sciences posted Non-Current Debt of $2.61 million.
- Non-Current Debt has a four-year compound annual growth rate of -23.8% (FY2013 to FY2017).
- By year, Non-Current Debt came in at $4.49 million in FY2014 (-42.0%) and $7.74 million in FY2013.
- The Q1 2018 figure ranks as the lowest quarterly Non-Current Debt in data going back to Q2 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | SELLAS Life Sciences | 2.34 Bn | 2.34 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 1.15 Mn |
| Dec 31, 2017 | 2.61 Mn |
| Sep 30, 2015 | 1.53 Mn |
| Jun 30, 2015 | 2.55 Mn |
| Mar 31, 2015 | 3.53 Mn |
| Dec 31, 2014 | 4.49 Mn |
| Sep 30, 2014 | 5.10 Mn |
| Jun 30, 2014 | 6.00 Mn |
| Mar 31, 2014 | 6.88 Mn |
| Dec 31, 2013 | 7.74 Mn |
| Sep 30, 2013 | 8.58 Mn |
| Jun 30, 2013 | 9.40 Mn |
API Access
SELLAS Life Sciences Non-Current Debt 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=non-current-debt&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();