Vertex Pharmaceuticals (VRTX) Short term Debt (2009 - 2016)
Vertex Pharmaceuticals' Short term Debt came in at $300 million for Q4 2016, up 320.8% from $71.3 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Short term Debt (2009 - 2016) Analysis & Trends
Going back to Q4 2009, Vertex Pharmaceuticals' Short term Debt data covers 9 quarters.
- Going back by year, Short term Debt was $71.3 million in FY2015 (+401.9%) and $14.21 million in FY2014.
- The Q4 2016 figure represents the highest quarterly Short term Debt in data going back to Q4 2009.
- Business Quant data shows VRTX's Short term Debt at $297.75 million (Q3 2016), $221.58 million (Q2 2016) and $146.25 million (Q1 2016) in the three quarters before Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 300.00 Mn |
| Sep 30, 2016 | 297.75 Mn |
| Jun 30, 2016 | 221.58 Mn |
| Mar 31, 2016 | 146.25 Mn |
| Dec 31, 2015 | 71.30 Mn |
| Jun 30, 2015 | 42.87 Mn |
| Mar 31, 2015 | 28.53 Mn |
| Dec 31, 2014 | 14.21 Mn |
| Dec 31, 2009 | 32.07 Mn |
API Access
Vertex Pharmaceuticals Short term Debt 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=short-term-debt&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "VRTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();