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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 28.50 |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.20 |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 5.68 |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.87 |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Voyager Therapeutics | 113.78 Mn | -447.29 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | -22.21 |
| Mar 31, 2016 | -16.06 |
| Dec 31, 2015 | -47.39 |
| Sep 30, 2015 | -0.21 |
| Jun 30, 2015 | -54.34 |
| Dec 31, 2014 | -11.56 |
| Sep 30, 2014 | -5.24 |
API Access
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_KEYimport 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();