SELLAS Life Sciences (SLS) Property, Plant & Equipment (Net) (2010 - 2017)
SELLAS Life Sciences' Property, Plant & Equipment (Net) was $123,000 in Q3 2017, down 45.6% from $226,000 a year earlier and down 16.9% from the prior quarter.
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Analysis
SELLAS Life Sciences (SLS) Property, Plant & Equipment (Net) (2010 - 2017) Analysis & Trends
At the end of FY2016, Property, Plant & Equipment (Net) at SELLAS Life Sciences came in at $199,000, down 40.6% from FY2015.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -12.7% (FY2011 to FY2016).
- In earlier years, Property, Plant & Equipment (Net) was $335,000 in FY2015 (+17.5%), $285,000 in FY2014 (-57.1%), $665,000 in FY2013 and $29,000 in FY2012 (-92.6%).
- The Q3 2017 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q1 2013.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for seven straight quarters, with an average decline of 33.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2014 (growth of 33.4%); the worst was Q4 2012 (a decline of 92.6%).
- Per Business Quant data, SLS's Property, Plant & Equipment (Net) in the three quarters before Q3 2017 was $148,000 (Q2 2017), $173,000 (Q1 2017) and $199,000 (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | SELLAS Life Sciences | 2.37 Bn | 2.37 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 123,000.00 |
| Jun 30, 2017 | 148,000.00 |
| Mar 31, 2017 | 173,000.00 |
| Dec 31, 2016 | 199,000.00 |
| Sep 30, 2016 | 226,000.00 |
| Jun 30, 2016 | 259,000.00 |
| Mar 31, 2016 | 299,000.00 |
| Dec 31, 2015 | 335,000.00 |
| Sep 30, 2015 | 288,000.00 |
| Jun 30, 2015 | 532,000.00 |
| Mar 31, 2015 | 528,000.00 |
| Dec 31, 2014 | 285,000.00 |
| Sep 30, 2014 | 589,000.00 |
| Jun 30, 2014 | 623,000.00 |
| Mar 31, 2014 | 653,000.00 |
| Dec 31, 2013 | 665,000.00 |
| Sep 30, 2013 | 545,000.00 |
| Jun 30, 2013 | 467,000.00 |
| Mar 31, 2013 | 27,000.00 |
| Dec 31, 2012 | 29,000.00 |
API Access
SELLAS Life Sciences Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();