Siga Technologies (SIGA) Times Interest Earned (2012 - 2020)
Siga Technologies' (SIGA) Times Interest Earned came in at 28.01 for FY2020, compared with -0.15 in FY2019.
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Analysis
Siga Technologies (SIGA) Times Interest Earned (2012 - 2020) Analysis & Trends
Since FY2012, Siga Technologies has reported Times Interest Earned for 9 years.
- The FY2020 figure stands as the highest annual Times Interest Earned in data going back to FY2012.
- Business Quant data shows SIGA's Times Interest Earned at -0.15 in FY2019, 22.94 in FY2018, -1.28 in FY2017 and -12.95 in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.41 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 10.28 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 7.27 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 5.22 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -42.08 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Siga Technologies | 243.48 Mn | -428.18 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | -1.33 |
| Dec 31, 2019 | -0.89 |
| Sep 30, 2019 | 0.17 |
| Jun 30, 2019 | -0.43 |
| Mar 31, 2019 | 0.56 |
| Dec 31, 2018 | -1.40 |
| Sep 30, 2018 | 94.00 |
| Jun 30, 2018 | -0.97 |
| Mar 31, 2018 | -1.21 |
| Dec 31, 2017 | -1.29 |
| Sep 30, 2017 | -1.51 |
| Jun 30, 2017 | -1.11 |
| Mar 31, 2017 | -1.18 |
| Dec 31, 2016 | -2.89 |
| Sep 30, 2016 | -85.06 |
| Jun 30, 2016 | -909.05 |
| Jun 30, 2015 | -325.35 |
| Mar 31, 2015 | -19.89 |
| Dec 31, 2014 | -203.59 |
| Sep 30, 2014 | -1,728.29 |
API Access
Siga Technologies Times Interest Earned 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=times-interest-earned&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();