Vertex Pharmaceuticals (VRTX) Short term Debt (2009 - 2016)
Vertex Pharmaceuticals (VRTX) posted Short term Debt of $300.0 million for Q4 2016, up 0.76% on a QoQ basis from $297.8 million in Q3 2016, and up 320.78% year-over-year from $71.3 million in Q1 2016.
Vertex Pharmaceuticals (VRTX) Short term Debt (2009 - 2016) Analysis & Trends
Vertex Pharmaceuticals has reported Short term Debt for 6 years, with the latest figure at $300.0 million in Q4 2016.
- On a quarterly basis, Short term Debt rose 320.78% year-over-year to $300.0 million in Q4 2016; TTM through Dec 2016 was $300.0 million, a 320.78% increase from a year earlier, with the FY2016 full-year figure at $300.0 million, up 320.78% from the prior year.
- Short term Debt was $300.0 million for Q4 2016 at Vertex Pharmaceuticals, up from $297.8 million in the prior quarter.
- The five-year high for Short term Debt was $300.0 million in Q4 2016, with the low at $14.2 million in Q4 2014.
- Average Short term Debt over 3 years is $140.3 million, with a median of $108.8 million recorded in 2015.
- The largest YoY upside for Short term Debt was 416.82% in 2016 against a maximum downside of 320.78% in 2016.
- Over 3 years, Short term Debt stood at $14.2 million in 2014, then jumped by 401.87% to $71.3 million in 2015, then surged by 320.78% to $300.0 million in 2016.
- The last three Short term Debt figures came in at $300.0 million (Q4 2016), $297.8 million (Q3 2016), and $221.6 million (Q2 2016), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn |
| 10 | Bristol Myers Squibb | 124.95 Bn | 113.89 Bn | 9.25 Bn |
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 |
| Sep 30, 2011 | 98.42 Mn |
| Mar 31, 2011 | 92.10 Mn |
| Dec 31, 2010 | 136.99 Mn |
| Sep 30, 2010 | 45.28 Mn |
| Jun 30, 2010 | 45.78 Mn |
| Dec 31, 2009 | 32.07 Mn |
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_KEY
import 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();