SELLAS Life Sciences (SLS) Operating Margin (2012 - 2022)
SELLAS Life Sciences (SLS) recorded Operating Margin of -4195.00% in FY2022, down 3862.18 percentage points from -332.82% in FY2021.
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Analysis
SELLAS Life Sciences (SLS) Operating Margin (2012 - 2022) Analysis & Trends
Starting with FY2013, SELLAS Life Sciences' Operating Margin history includes 5 years.
- The FY2022 figure is the lowest annual Operating Margin in data going back to FY2013.
- Per Business Quant data, SLS's Operating Margin was -332.82% in FY2021 (+560.97 pp) and -893.79% in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 37.40% |
| 10 | SELLAS Life Sciences | 2.34 Bn | 2.34 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -1,673.50% |
| Jun 30, 2021 | -234.37% |
| Mar 31, 2021 | -39.39% |
| Dec 31, 2020 | -218.89% |
| Jun 30, 2015 | -268.57% |
| Mar 31, 2015 | -324.07% |
| Dec 31, 2014 | -303.38% |
| Sep 30, 2014 | -652.28% |
| Jun 30, 2014 | -677.09% |
| Mar 31, 2014 | -545.28% |
| Dec 31, 2013 | -219.06% |
| Sep 30, 2013 | -425.49% |
| Jun 30, 2013 | -342.60% |
| Mar 31, 2013 | -304.23% |
| Sep 30, 2012 | -472.48% |
API Access
SELLAS Life Sciences Operating 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=operating-margin&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();