Siga Technologies (SIGA) Non-Current Debt (2012 - 2018)
Siga Technologies (SIGA) posted Non-Current Debt of $75.55 million for Q4 2018, up 6.3% from $71.05 million a year earlier.
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Analysis
Siga Technologies (SIGA) Non-Current Debt (2012 - 2018) Analysis & Trends
Since Q4 2012, Siga Technologies has reported Non-Current Debt for 12 quarters.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 107.0% (FY2013 to FY2018).
- In prior years, Siga Technologies' Non-Current Debt was $71.05 million in FY2017 (+6.8%) and $66.55 million in FY2016.
- The Q4 2018 figure stands as the highest quarterly Non-Current Debt in data going back to Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.04 Bn | 1,100.62 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 614.86 Bn | 533.39 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 503.32 Bn | 476.44 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 367.14 Bn | 321.52 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.69 Bn | 235.37 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 236.43 Bn | 191.82 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 190.71 Bn | 164.90 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 170.03 Bn | 116.68 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Siga Technologies | 226.27 Mn | -445.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 75.55 Mn |
| Dec 31, 2017 | 71.05 Mn |
| Mar 31, 2017 | 67.66 Mn |
| Dec 31, 2016 | 66.55 Mn |
| Sep 30, 2014 | 499,536.00 |
| Jun 30, 2014 | 997,693.00 |
| Mar 31, 2014 | 1.49 Mn |
| Dec 31, 2013 | 1.99 Mn |
| Sep 30, 2013 | 2.48 Mn |
| Jun 30, 2013 | 2.98 Mn |
| Mar 31, 2013 | 3.47 Mn |
| Dec 31, 2012 | 3.96 Mn |
API Access
Siga Technologies Non-Current 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=non-current-debt&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "SIGA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();