SELLAS Life Sciences (SLS) Inventory (2013 - 2015)
SELLAS Life Sciences (SLS) posted Inventory of $1.43 million for Q2 2015, up 229.3% from $433,000 a year earlier and up 123.9% from the prior quarter.
Powered by 
Analysis
SELLAS Life Sciences (SLS) Inventory (2013 - 2015) Analysis & Trends
At the end of FY2014, SELLAS Life Sciences' Inventory came in at $655,000, up 69.7% from FY2013.
- In prior years, SELLAS Life Sciences' Inventory was $386,000 in FY2013.
- The Q2 2015 figure stands as the highest quarterly Inventory in data going back to Q2 2013.
- On a year-over-year basis, Inventory has increased in each of the last five quarters, with growth averaging 81.2% over the last five quarters.
- According to Business Quant data, Inventory for the three prior quarters was $637,000 (Q1 2015), $655,000 (Q4 2014) and $450,000 (Q3 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.77 Bn |
| 10 | SELLAS Life Sciences | 2.34 Bn | 2.34 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 1.43 Mn |
| Mar 31, 2015 | 637,000.00 |
| Dec 31, 2014 | 655,000.00 |
| Sep 30, 2014 | 450,000.00 |
| Jun 30, 2014 | 433,000.00 |
| Mar 31, 2014 | 358,000.00 |
| Dec 31, 2013 | 386,000.00 |
| Sep 30, 2013 | 425,000.00 |
| Jun 30, 2013 | 352,000.00 |
API Access
SELLAS Life Sciences Inventory 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=inventory&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();