Vertex Pharmaceuticals (VRTX) Capital Expenditures (2009 - 2026)
Vertex Pharmaceuticals' Capital Expenditures came in at $112.2 million for Q2 2026, down 23.0% from $145.7 million a year earlier and down 15.9% from the prior quarter.
Vertex Pharmaceuticals (VRTX) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vertex Pharmaceuticals reported Capital Expenditures of $496.8 million, up 43.3% year-over-year; for FY2025, it was $437.6 million, up 47.0% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $297.7 million in FY2024 (+48.6%), $200.4 million in FY2023 (-2.1%), $204.7 million in FY2022 (-12.9%) and $235 million in FY2021 (-9.5%).
- The five-year range for quarterly Capital Expenditures is $33.6 million (Q4 2022) to $149.4 million (Q4 2025).
- Year-over-year, Capital Expenditures increased in six of the last eight quarters, with growth averaging 64.2%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q1 2026 (growth of 227.8%), and the weakest in Q3 2021 (a decline of 70.0%).
- Business Quant data shows VRTX's Capital Expenditures at $133.4 million (Q1 2026), $149.4 million (Q4 2025) and $101.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 305.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.20 Mn |
| Mar 31, 2026 | 133.40 Mn |
| Dec 31, 2025 | 149.40 Mn |
| Sep 30, 2025 | 101.80 Mn |
| Jun 30, 2025 | 145.70 Mn |
| Mar 31, 2025 | 40.70 Mn |
| Dec 31, 2024 | 92.60 Mn |
| Sep 30, 2024 | 67.70 Mn |
| Jun 30, 2024 | 69.00 Mn |
| Mar 31, 2024 | 68.40 Mn |
| Dec 31, 2023 | 58.10 Mn |
| Sep 30, 2023 | 40.60 Mn |
| Jun 30, 2023 | 59.60 Mn |
| Mar 31, 2023 | 42.10 Mn |
| Dec 31, 2022 | 33.60 Mn |
| Sep 30, 2022 | 54.20 Mn |
| Jun 30, 2022 | 53.30 Mn |
| Mar 31, 2022 | 63.60 Mn |
| Dec 31, 2021 | 61.80 Mn |
| Sep 30, 2021 | 52.40 Mn |
Vertex Pharmaceuticals Capital Expenditures 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=capital-expenditures&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();