SELLAS Life Sciences (SLS) Change in Inventory (2013 - 2015)
SELLAS Life Sciences (SLS) reported Change in Inventory of $789,000 for Q2 2015, up 952.0% from $75,000 a year earlier.
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Analysis
SELLAS Life Sciences (SLS) Change in Inventory (2013 - 2015) Analysis & Trends
Over the twelve months ended Jun 30, 2015, SELLAS Life Sciences' Change in Inventory came in at $993,000; for FY2014, it was $269,000, down 30.3% from FY2013.
- By year, Change in Inventory came in at $386,000 in FY2013.
- The Q2 2015 figure ranks as the highest quarterly Change in Inventory in data going back to Q2 2013.
- Per Business Quant data, the three quarters before Q2 2015 came in at -$18,000 (Q1 2015), $205,000 (Q4 2014) and $17,000 (Q3 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 571.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 143.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 31.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 145.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 27.70 Mn |
| 10 | SELLAS Life Sciences | 2.49 Bn | 2.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 789,000.00 |
| Mar 31, 2015 | -18,000.00 |
| Dec 31, 2014 | 205,000.00 |
| Sep 30, 2014 | 17,000.00 |
| Jun 30, 2014 | 75,000.00 |
| Mar 31, 2014 | -28,000.00 |
| Dec 31, 2013 | -39,000.00 |
| Sep 30, 2013 | 73,000.00 |
| Jun 30, 2013 | 352,000.00 |
API Access
SELLAS Life Sciences Change in 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=change-in-inventory&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();