Vertex Pharmaceuticals (VRTX) Enterprise Value (2009 - 2026)
Vertex Pharmaceuticals' Enterprise Value came in at $117.99 billion for Q2 2026, up 9.5% from $107.72 billion a year earlier and up 11.1% from the prior quarter.
Powered by 
Analysis
Vertex Pharmaceuticals (VRTX) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vertex Pharmaceuticals reported Enterprise Value of $97.85 billion, up 10.1% year-over-year; for FY2025, it was $108.54 billion, up 11.5% from FY2024.
- Enterprise Value has increased in each of the last four years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $97.35 billion in FY2024 (+4.0%), $93.64 billion in FY2023 (+47.6%), $63.44 billion in FY2022 (+31.2%) and $48.36 billion in FY2021 (-11.7%).
- The Q2 2026 figure represents the highest quarterly Enterprise Value since Q1 2025.
- Year-over-year, Enterprise Value increased in five of the last eight quarters, with growth averaging 7.2%.
- The fastest year-over-year change in Enterprise Value over five years came in Q3 2022 (growth of 63.3%), and the weakest in Q3 2021 (a decline of 38.9%).
- Business Quant data shows VRTX's Enterprise Value at $106.25 billion (Q1 2026), $108.54 billion (Q4 2025) and $93.17 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,221.09 Bn | 1,194.71 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 656.38 Bn | 576.24 Bn | 17.30 Bn |
| 3 | AbbVie | 510.79 Bn | 478.80 Bn | 13.12 Bn |
| 4 | Merck | 363.00 Bn | 317.38 Bn | 12.21 Bn |
| 5 | Novartis Ag | 313.89 Bn | 287.12 Bn | - |
| 6 | Astrazeneca | 290.02 Bn | 263.91 Bn | 13.26 Bn |
| 7 | Amgen | 249.59 Bn | 204.98 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 208.15 Bn | 183.26 Bn | 6.73 Bn |
| 9 | Pfizer | 170.74 Bn | 118.10 Bn | 12.56 Bn |
| 10 | Vertex Pharmaceuticals | 137.20 Bn | 109.19 Bn | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.24 Bn |
| Jun 30, 2026 | 117.99 Bn |
| Mar 31, 2026 | 106.25 Bn |
| Dec 31, 2025 | 108.54 Bn |
| Sep 30, 2025 | 93.17 Bn |
| Jun 30, 2025 | 107.72 Bn |
| Mar 31, 2025 | 118.38 Bn |
| Dec 31, 2024 | 97.35 Bn |
| Sep 30, 2024 | 113.35 Bn |
| Jun 30, 2024 | 115.14 Bn |
| Mar 31, 2024 | 97.80 Bn |
| Dec 31, 2023 | 93.64 Bn |
| Sep 30, 2023 | 77.73 Bn |
| Jun 30, 2023 | 79.48 Bn |
| Mar 31, 2023 | 70.72 Bn |
| Dec 31, 2022 | 63.44 Bn |
| Sep 30, 2022 | 64.54 Bn |
| Jun 30, 2022 | 62.89 Bn |
| Mar 31, 2022 | 58.46 Bn |
| Dec 31, 2021 | 48.36 Bn |
API Access
Vertex Pharmaceuticals Enterprise Value 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=enterprise-value&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();