SELLAS Life Sciences (SLS) Net Margin (2012 - 2022)
SELLAS Life Sciences (SLS) reported Net Margin of -4130.10% for FY2022, down 3857.74 percentage points from -272.36% in FY2021.
Powered by 
Analysis
SELLAS Life Sciences (SLS) Net Margin (2012 - 2022) Analysis & Trends
Dating back to FY2013, SELLAS Life Sciences' Net Margin record includes 5 years.
- The FY2022 figure ranks as the lowest annual Net Margin in data going back to FY2013.
- According to Business Quant data, Net Margin came in at -272.36% in FY2021 (+613.70 pp) and -886.05% in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 21.86% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 21.27% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -8.04% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 22.61% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 18.81% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 23.62% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -134.51% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -1.65% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 32.99% |
| 10 | SELLAS Life Sciences | 2.34 Bn | 2.34 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -1,674.40% |
| Jun 30, 2021 | -242.79% |
| Mar 31, 2021 | -42.16% |
| Dec 31, 2020 | -195.58% |
| Jun 30, 2015 | -463.04% |
| Mar 31, 2015 | -383.16% |
| Dec 31, 2014 | -249.01% |
| Sep 30, 2014 | -381.05% |
| Jun 30, 2014 | -855.47% |
| Mar 31, 2014 | -116.71% |
| Dec 31, 2013 | -172.64% |
| Sep 30, 2013 | -427.72% |
| Jun 30, 2013 | 231.19% |
| Mar 31, 2013 | -759.00% |
| Sep 30, 2012 | -1,540.68% |
API Access
SELLAS Life Sciences Net Margin 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=net-margin&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();