Vertex Pharmaceuticals (VRTX) Restructuring Costs (2009 - 2018)
Vertex Pharmaceuticals (VRTX) posted Restructuring Costs of -$4000.0 for Q4 2018, down 102.3% on a QoQ basis from $174000.0 in Q3 2018, and down 101.03% year-over-year from $387000.0 in Q4 2017.
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Analysis
Vertex Pharmaceuticals (VRTX) Restructuring Costs (2009 - 2018) Analysis & Trends
Vertex Pharmaceuticals has reported Restructuring Costs for 10 years, with the latest figure at -$4000.0 in Q4 2018.
- On a quarterly basis, Restructuring Costs fell 101.03% year-over-year to -$4000.0 in Q4 2018; TTM through Sep 2019 was -$4000.0, a 100.7% decrease from a year earlier, with the FY2018 full-year figure at -$184000.0, down 101.29% from the prior year.
- Restructuring Costs was -$4000.0 for Q4 2018 at Vertex Pharmaceuticals, down from $174000.0 in the prior quarter.
- The five-year high for Restructuring Costs was $40.8 million in Q3 2014, with the low at -$3.3 million in Q1 2015.
- Average Restructuring Costs over 5 years is $3.4 million, with a median of $365000.0 recorded in 2016.
- The sharpest annual moves came in 2014 and 2015: Restructuring Costs surged 15766.67% in 2014, then sank 152.88% in 2015.
- Over 5 years, Restructuring Costs stood at $4.2 million in 2014, then sank by 63.4% to $1.5 million in 2015, then tumbled by 85.3% to $224000.0 in 2016, then surged by 72.77% to $387000.0 in 2017, then slumped by 101.03% to -$4000.0 in 2018.
- The last three Restructuring Costs figures came in at -$4000.0 (Q4 2018), $174000.0 (Q3 2018), and -$62000.0 (Q2 2018), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -4,000.00 |
| Sep 30, 2018 | 174,000.00 |
| Jun 30, 2018 | -62,000.00 |
| Mar 31, 2018 | 76,000.00 |
| Dec 31, 2017 | 387,000.00 |
| Sep 30, 2017 | 337,000.00 |
| Jun 30, 2017 | 3.52 Mn |
| Mar 31, 2017 | 10.00 Mn |
| Dec 31, 2016 | 224,000.00 |
| Sep 30, 2016 | 8,000.00 |
| Jun 30, 2016 | 343,000.00 |
| Mar 31, 2016 | 687,000.00 |
| Dec 31, 2015 | 1.52 Mn |
| Sep 30, 2015 | 1.83 Mn |
| Jun 30, 2015 | 2.13 Mn |
| Mar 31, 2015 | -3.27 Mn |
| Dec 31, 2014 | 4.16 Mn |
| Sep 30, 2014 | 40.84 Mn |
| Jun 30, 2014 | -270,000.00 |
| Mar 31, 2014 | 6.19 Mn |
API Access
Vertex Pharmaceuticals Restructuring Costs 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=restructuring-costs&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();