Voyager Therapeutics (VYGR) Times Interest Earned (2014 - 2016)
Voyager Therapeutics' Times Interest Earned came in at -33.99 for Q2 2016, compared with -55.10 a year earlier.
Voyager Therapeutics (VYGR) Times Interest Earned (2014 - 2016) Analysis & Trends
Over the trailing twelve months to Jun 30, 2016, Voyager Therapeutics reported Times Interest Earned of -34.77; for FY2015, it was -1.06.
- Going back by year, Times Interest Earned was -3.68 in FY2014 and -56.21 in FY2013.
- The five-year range for quarterly Times Interest Earned is -55.10 (Q2 2015) to -0.50 (Q1 2015).
- Business Quant data shows VYGR's Times Interest Earned at -26.76 (Q1 2016), -47.39 (Q4 2015) and -39.40 (Q3 2015) in the three quarters before Q2 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 25.41 |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 10.28 |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 7.27 |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 5.22 |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -42.08 |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Voyager Therapeutics | 122.00 Mn | -541.19 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | -33.99 |
| Mar 31, 2016 | -26.76 |
| Dec 31, 2015 | -47.39 |
| Sep 30, 2015 | -39.40 |
| Jun 30, 2015 | -55.10 |
| Mar 31, 2015 | -0.50 |
| Dec 31, 2014 | -11.56 |
| Sep 30, 2014 | -5.24 |
Voyager Therapeutics 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=VYGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "VYGR", "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=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();