Vertex Pharmaceuticals (VRTX) Non-Current Debt (2009 - 2018)
Vertex Pharmaceuticals (VRTX) recorded Non-Current Debt of -$140,000 in Q4 2014.
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Analysis
Vertex Pharmaceuticals (VRTX) Non-Current Debt (2009 - 2018) Analysis & Trends
For FY2014, Vertex Pharmaceuticals reported Non-Current Debt of $294.24 million.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Vertex Pharmaceuticals | 130.00 Bn | 102.01 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 561.89 Mn |
| Sep 30, 2018 | 561.39 Mn |
| Jun 30, 2018 | 562.65 Mn |
| Mar 31, 2018 | 561.30 Mn |
| Dec 31, 2017 | 563.41 Mn |
| Sep 30, 2017 | 547.05 Mn |
| Jun 30, 2017 | 525.02 Mn |
| Mar 31, 2017 | 498.78 Mn |
| Dec 31, 2016 | 486.36 Mn |
| Sep 30, 2016 | 473.07 Mn |
| Jun 30, 2016 | 472.37 Mn |
| Mar 31, 2016 | 472.49 Mn |
| Dec 31, 2015 | 472.61 Mn |
| Sep 30, 2015 | 472.72 Mn |
| Jun 30, 2015 | 472.83 Mn |
| Mar 31, 2015 | 472.97 Mn |
| Dec 31, 2014 | 473.07 Mn |
| Sep 30, 2014 | 473.17 Mn |
| Jun 30, 2014 | 473.27 Mn |
| Mar 31, 2014 | 473.36 Mn |
API Access
Vertex Pharmaceuticals Non-Current 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=non-current-debt&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();