Vertex Pharmaceuticals (VRTX) Total Debt (2009 - 2018)
Vertex Pharmaceuticals (VRTX) posted Total Debt of $561.89 million for Q4 2018, down 0.3% from $563.41 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Total Debt (2009 - 2018) Analysis & Trends
Since Q4 2009, Vertex Pharmaceuticals has reported Total Debt for 32 quarters.
- Annual Total Debt shows a five-year compound annual growth rate of 5.0% (FY2013 to FY2018).
- In prior years, Vertex Pharmaceuticals' Total Debt was $563.41 million in FY2017 (-28.4%), $786.36 million in FY2016 (+44.6%), $543.91 million in FY2015 (+11.6%) and $487.28 million in FY2014 (+10.5%).
- Quarterly Total Debt has run from a low of $472.72 million in Q3 2015 to a high of $786.36 million in Q4 2016 over five years.
- On a year-over-year basis, Total Debt increased in three of the last eight quarters, with an average decline of 9.9%.
- The strongest year-over-year quarter for Total Debt in the past five years was Q3 2016, with growth of 63.1%; the weakest was Q3 2017, with a decline of 29.0%.
- According to Business Quant data, Total Debt for the three prior quarters was $561.39 million (Q3 2018), $562.65 million (Q2 2018) and $561.3 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | - |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 43.12 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 | 786.36 Mn |
| Sep 30, 2016 | 770.82 Mn |
| Jun 30, 2016 | 693.95 Mn |
| Mar 31, 2016 | 618.75 Mn |
| Dec 31, 2015 | 543.91 Mn |
| Sep 30, 2015 | 472.72 Mn |
| Jun 30, 2015 | 515.71 Mn |
| Mar 31, 2015 | 501.50 Mn |
| Dec 31, 2014 | 487.28 Mn |
| Sep 30, 2014 | 473.17 Mn |
| Jun 30, 2014 | 473.27 Mn |
| Mar 31, 2014 | 473.36 Mn |
API Access
Vertex Pharmaceuticals Total 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=total-debt&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();