Voyager Therapeutics (VYGR) Interest Expenses (2014 - 2016)
Voyager Therapeutics' Interest Expenses came in at -$283,000 for Q2 2016, compared with -$72,000 a year earlier.
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Analysis
Voyager Therapeutics (VYGR) Interest Expenses (2014 - 2016) Analysis & Trends
Over the trailing twelve months to Jun 30, 2016, Voyager Therapeutics reported Interest Expenses of -$821,000; for FY2015, it came in at $19.17 million, up 391.6% from FY2014.
- Going back by year, Interest Expenses was $3.9 million in FY2014 and $67,000 in FY2013.
- The Q2 2016 figure represents the lowest quarterly Interest Expenses in data going back to Q3 2014.
- Business Quant data shows VYGR's Interest Expenses at -$279,000 (Q1 2016), -$157,000 (Q4 2015) and -$102,000 (Q3 2015) in the three quarters before Q2 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 281.00 Mn |
| 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 | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Voyager Therapeutics | 122.00 Mn | -541.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | -283,000.00 |
| Mar 31, 2016 | -279,000.00 |
| Dec 31, 2015 | -157,000.00 |
| Sep 30, 2015 | -102,000.00 |
| Jun 30, 2015 | -72,000.00 |
| Mar 31, 2015 | 9.75 Mn |
| Dec 31, 2014 | 389,000.00 |
| Sep 30, 2014 | 698,000.00 |
API Access
Voyager Therapeutics Interest Expenses 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=interest-expenses&ticker=VYGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=VYGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();