SELLAS Life Sciences (SLS) Depreciation & Amortization (CF) (2010 - 2017)
SELLAS Life Sciences (SLS) recorded Depreciation & Amortization (CF) of $25,000 in Q3 2017, down 16.7% from $30,000 a year earlier and unchanged from the prior quarter.
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Analysis
SELLAS Life Sciences (SLS) Depreciation & Amortization (CF) (2010 - 2017) Analysis & Trends
On a TTM basis, SELLAS Life Sciences' Depreciation & Amortization (CF) came in at -$16,000 as of Sep 30, 2017; for FY2016, it was $3,000, down 97.2% from FY2015.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of -55.0% (FY2011 to FY2016).
- Across earlier years, Depreciation & Amortization (CF) came in at $107,000 in FY2015 (+24.4%), $86,000 in FY2014 (-69.9%), $286,000 in FY2013 (+483.7%) and $49,000 in FY2012 (-69.9%).
- Quarterly Depreciation & Amortization (CF) has ranged from -$254,000 in Q4 2014 to $232,000 in Q1 2014 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in 1 of the last six quarters, with growth averaging 10.1%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 487.2% in Q2 2014, against a decline of 95.2% in Q1 2013 at the low end.
- Per Business Quant, the preceding three quarters came in at $25,000 (Q2 2017), $26,000 (Q1 2017) and -$92,000 (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | SELLAS Life Sciences | 2.49 Bn | 2.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 25,000.00 |
| Jun 30, 2017 | 25,000.00 |
| Mar 31, 2017 | 26,000.00 |
| Dec 31, 2016 | -92,000.00 |
| Sep 30, 2016 | 30,000.00 |
| Jun 30, 2016 | 59,000.00 |
| Mar 31, 2016 | 6,000.00 |
| Dec 31, 2015 | -197,000.00 |
| Sep 30, 2015 | 123,000.00 |
| Jun 30, 2015 | 83,000.00 |
| Mar 31, 2015 | 98,000.00 |
| Dec 31, 2014 | -254,000.00 |
| Sep 30, 2014 | -121,000.00 |
| Jun 30, 2014 | 229,000.00 |
| Mar 31, 2014 | 232,000.00 |
| Dec 31, 2013 | 118,000.00 |
| Sep 30, 2013 | 127,000.00 |
| Jun 30, 2013 | 39,000.00 |
| Mar 31, 2013 | 2,000.00 |
| Dec 31, 2012 | 2,000.00 |
API Access
SELLAS Life Sciences Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();