SELLAS Life Sciences (SLS) Tax Provisions (2013 - 2019)
SELLAS Life Sciences' Tax Provisions was -$237,000 in FY2021, compared with -$17,000 in FY2020.
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Analysis
SELLAS Life Sciences (SLS) Tax Provisions (2013 - 2019) Analysis & Trends
From FY2012 onward, SELLAS Life Sciences has reported Tax Provisions for 9 years.
- The FY2021 figure marks the lowest annual Tax Provisions since FY2018.
- Per Business Quant data, Tax Provisions in earlier years was -$17,000 in FY2020, -$81,000 in FY2019, -$1.38 million in FY2018 and $300,000 in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 292.00 Mn |
| 10 | SELLAS Life Sciences | 2.49 Bn | 2.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -81,000.00 |
| Dec 31, 2018 | -1.54 Mn |
| Jun 30, 2018 | 163,000.00 |
| Dec 31, 2017 | 120,000.00 |
| Sep 30, 2017 | 63,000.00 |
| Jun 30, 2017 | 117,000.00 |
| Dec 31, 2013 | 1.11 Mn |
| Sep 30, 2013 | 1.16 Mn |
| Jun 30, 2013 | 1.54 Mn |
| Mar 31, 2013 | -2.76 Mn |
API Access
SELLAS Life Sciences Tax Provisions 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=tax-provisions&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();