SELLAS Life Sciences (SLS) Other Accumulated Expenses (2011 - 2018)
SELLAS Life Sciences (SLS) reported Other Accumulated Expenses of $1.3 million for Q1 2018, up 36.8% from $950,000 a year earlier and unchanged from the prior quarter.
SELLAS Life Sciences (SLS) Other Accumulated Expenses (2011 - 2018) Analysis & Trends
Dating back to Q4 2011, SELLAS Life Sciences' Other Accumulated Expenses record includes 10 quarters.
- By year, Other Accumulated Expenses came in at $227,000 in FY2016 (-99.1%) and $25 million in FY2015.
- Five-year quarterly Other Accumulated Expenses spans a low of $227,000 in Q4 2016 and a high of $25 million in Q4 2015.
- Year over year, Other Accumulated Expenses gained in two of the last five quarters, with growth averaging 51.0%.
- Per Business Quant data, the three quarters before Q1 2018 came in at $1.3 million (Q4 2017), $1.3 million (Q3 2017) and $1.3 million (Q2 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | SELLAS Life Sciences | 2.37 Bn | 2.37 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 1.30 Mn |
| Dec 31, 2017 | 1.30 Mn |
| Sep 30, 2017 | 1.30 Mn |
| Jun 30, 2017 | 1.30 Mn |
| Mar 31, 2017 | 950,000.00 |
| Dec 31, 2016 | 227,000.00 |
| Jun 30, 2016 | 5.10 Mn |
| Mar 31, 2016 | 5.00 Mn |
| Dec 31, 2015 | 25.00 Mn |
| Dec 31, 2011 | 25,000.00 |
SELLAS Life Sciences Other Accumulated Expenses 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=other-accumulated-expenses&ticker=SLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();