Siga Technologies (SIGA) Non-Current Deffered Revenue (2011 - 2018)
Siga Technologies' Non-Current Deffered Revenue came in at $376.03 million for Q1 2018, unchanged from $376.2 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Siga Technologies (SIGA) Non-Current Deffered Revenue (2011 - 2018) Analysis & Trends
At the end of FY2017, Siga Technologies' Non-Current Deffered Revenue was $377.64 million, up 2.8% from FY2016.
- Non-Current Deffered Revenue carries a five-year compound annual growth rate of 45.9% (FY2012 to FY2017).
- Going back by year, Non-Current Deffered Revenue was $367.48 million in FY2016 (+44.0%), $255.26 million in FY2015, $81,799 in FY2014 (-99.9%) and $162.22 million in FY2013 (+184.3%).
- The Q1 2018 figure represents the lowest quarterly Non-Current Deffered Revenue since Q4 2016.
- Year-over-year, Non-Current Deffered Revenue increased in seven of the last eight quarters, with growth averaging 24.3%.
- The fastest year-over-year change in Non-Current Deffered Revenue over five years came in Q3 2013 (growth of 271.7%), and the weakest in Q4 2014 (a decline of 99.9%).
- Business Quant data shows SIGA's Non-Current Deffered Revenue at $377.64 million (Q4 2017), $377.45 million (Q3 2017) and $376.48 million (Q2 2017) in the three quarters before Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | - |
| 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 | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | - |
| 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, 2018 | 376.03 Mn |
| Dec 31, 2017 | 377.64 Mn |
| Sep 30, 2017 | 377.45 Mn |
| Jun 30, 2017 | 376.48 Mn |
| Mar 31, 2017 | 376.20 Mn |
| Dec 31, 2016 | 367.48 Mn |
| Sep 30, 2016 | 367.12 Mn |
| Jun 30, 2016 | 288.29 Mn |
| Mar 31, 2016 | 255.47 Mn |
| Dec 31, 2015 | 255.26 Mn |
| Sep 30, 2015 | 255.09 Mn |
| Jun 30, 2015 | 233.74 Mn |
| Mar 31, 2015 | 13.53 Mn |
| Dec 31, 2014 | 81,799.00 |
| Jun 30, 2014 | 188.08 Mn |
| Mar 31, 2014 | 187.78 Mn |
| Dec 31, 2013 | 162.22 Mn |
| Sep 30, 2013 | 162.06 Mn |
| Jun 30, 2013 | 119.07 Mn |
| Mar 31, 2013 | 83.51 Mn |
API Access
Siga Technologies Non-Current Deffered Revenue 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-deffered-revenue&ticker=SIGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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-deffered-revenue&ticker=SIGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();