SELLAS Life Sciences (SLS) Total Debt (2011 - 2018)
SELLAS Life Sciences (SLS) recorded Total Debt of $76,000 in Q3 2018, down 99.4% from $12.17 million a year earlier and down 99.0% from the prior quarter.
SELLAS Life Sciences (SLS) Total Debt (2011 - 2018) Analysis & Trends
At the end of FY2017, SELLAS Life Sciences reported Total Debt of $10.99 million, up 542.9% from FY2016.
- Annual Total Debt has a four-year compound annual growth rate of 2.7% (FY2013 to FY2017).
- Across earlier years, Total Debt came in at $1.71 million in FY2016 (-63.9%), $4.74 million in FY2015 (-43.6%), $8.4 million in FY2014 (-15.1%) and $9.89 million in FY2013.
- The Q3 2018 figure is the lowest quarterly Total Debt in data going back to Q3 2011.
- On a year-over-year basis, Total Debt has declined for three consecutive quarters, with growth averaging 57.6% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 542.9% in Q4 2017, against a decline of 99.4% in Q3 2018 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.78 million (Q2 2018), $9.68 million (Q1 2018) and $10.99 million (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.76 Bn | 1,105.35 Bn | 19.71 Bn | 54.91 Bn |
| 2 | Johnson & Johnson | 618.64 Bn | 537.17 Bn | 17.26 Bn | 49.04 Bn |
| 3 | AbbVie | 502.02 Bn | 475.13 Bn | 12.70 Bn | 70.82 Bn |
| 4 | Merck | 368.10 Bn | 322.48 Bn | 12.21 Bn | 53.91 Bn |
| 5 | Novartis Ag | 297.96 Bn | 261.95 Bn | 11.24 Bn | 9.59 Bn |
| 6 | Astrazeneca | 261.11 Bn | 234.80 Bn | 12.86 Bn | 32.35 Bn |
| 7 | Amgen | 236.64 Bn | 192.04 Bn | 7.24 Bn | 57.30 Bn |
| 8 | Gilead Sciences | 191.15 Bn | 165.35 Bn | 6.22 Bn | 26.25 Bn |
| 9 | Pfizer | 169.69 Bn | 116.33 Bn | 10.94 Bn | 63.19 Bn |
| 10 | SELLAS Life Sciences | 2.32 Bn | 1.96 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 76,000.00 |
| Jun 30, 2018 | 7.78 Mn |
| Mar 31, 2018 | 9.68 Mn |
| Dec 31, 2017 | 10.99 Mn |
| Sep 30, 2017 | 12.17 Mn |
| Jun 30, 2017 | 13.03 Mn |
| Mar 31, 2017 | 12.60 Mn |
| Dec 31, 2016 | 1.71 Mn |
| Sep 30, 2016 | 23.72 Mn |
| Jun 30, 2016 | 23.16 Mn |
| Mar 31, 2016 | 3.74 Mn |
| Dec 31, 2015 | 4.74 Mn |
| Sep 30, 2015 | 5.69 Mn |
| Jun 30, 2015 | 6.63 Mn |
| Mar 31, 2015 | 7.53 Mn |
| Dec 31, 2014 | 8.40 Mn |
| Sep 30, 2014 | 9.26 Mn |
| Jun 30, 2014 | 10.08 Mn |
| Mar 31, 2014 | 9.99 Mn |
| Dec 31, 2013 | 9.89 Mn |
SELLAS Life Sciences Total Debt 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=total-debt&ticker=SLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();