Vertex Pharmaceuticals (VRTX) Notes Payables (2010 - 2017)
Vertex Pharmaceuticals (VRTX) posted Notes Payables of $232.4 million for Q4 2017, up 22.14% on a QoQ basis from $190.3 million in Q3 2017, and up 216.55% year-over-year from $73.4 million in Q4 2016.
Vertex Pharmaceuticals (VRTX) Notes Payables (2010 - 2017) Analysis & Trends
Vertex Pharmaceuticals has reported Notes Payables for 4 years, with the latest figure at $232.4 million in Q4 2017.
- On a quarterly basis, Notes Payables rose 216.55% year-over-year to $232.4 million in Q4 2017; TTM through Dec 2017 was $232.4 million, a 216.55% increase from a year earlier, with the FY2017 full-year figure at $232.4 million, up 216.55% from the prior year.
- Notes Payables was $232.4 million for Q4 2017 at Vertex Pharmaceuticals, up from $190.3 million in the prior quarter.
- The five-year high for Notes Payables was $232.4 million in Q4 2017, with the low at $73.4 million in Q4 2016.
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, 2017 | 232.40 Mn |
| Sep 30, 2017 | 190.27 Mn |
| Jun 30, 2017 | 147.69 Mn |
| Mar 31, 2017 | 104.77 Mn |
| Dec 31, 2016 | 73.42 Mn |
| Sep 30, 2011 | 94.16 Mn |
| Mar 31, 2011 | 84.89 Mn |
| Dec 31, 2010 | 77.80 Mn |
Vertex Pharmaceuticals Notes Payables 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=notes-payables&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();