SELLAS Life Sciences (SLS) Total Non-Current Liabilities (2010 - 2022)
SELLAS Life Sciences (SLS) posted Total Non-Current Liabilities of $16.09 million for Q4 2022, up 185.7% from $5.63 million a year earlier and up 21.6% from the prior quarter.
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Analysis
SELLAS Life Sciences (SLS) Total Non-Current Liabilities (2010 - 2022) Analysis & Trends
Since Q4 2010, SELLAS Life Sciences has reported Total Non-Current Liabilities for 47 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -11.8% (FY2017 to FY2022).
- In prior years, SELLAS Life Sciences' Total Non-Current Liabilities was $5.63 million in FY2021 (-58.1%), $13.46 million in FY2020 (+140.1%), $5.6 million in FY2019 (-23.7%) and $7.34 million in FY2018 (-75.7%).
- Quarterly Total Non-Current Liabilities has run from a low of $3.91 million in Q1 2020 to a high of $30.1 million in Q1 2018 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 77.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2022, with growth of 185.7%; the weakest was Q2 2019, with a decline of 79.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $13.23 million (Q3 2022), $12.97 million (Q2 2022) and $17.11 million (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | SELLAS Life Sciences | 2.30 Bn | 1.94 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 16.09 Mn |
| Sep 30, 2022 | 13.23 Mn |
| Jun 30, 2022 | 12.97 Mn |
| Mar 31, 2022 | 17.11 Mn |
| Dec 31, 2021 | 5.63 Mn |
| Sep 30, 2021 | 6.31 Mn |
| Jun 30, 2021 | 5.31 Mn |
| Mar 31, 2021 | 7.07 Mn |
| Dec 31, 2020 | 13.46 Mn |
| Sep 30, 2020 | 5.38 Mn |
| Jun 30, 2020 | 5.54 Mn |
| Mar 31, 2020 | 3.91 Mn |
| Dec 31, 2019 | 5.60 Mn |
| Sep 30, 2019 | 6.01 Mn |
| Jun 30, 2019 | 5.89 Mn |
| Mar 31, 2019 | 7.26 Mn |
| Dec 31, 2018 | 7.34 Mn |
| Sep 30, 2018 | 14.69 Mn |
| Jun 30, 2018 | 29.30 Mn |
| Mar 31, 2018 | 30.10 Mn |
API Access
SELLAS Life Sciences Total Non-Current Liabilities 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-non-current-liabilities&ticker=SLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();