Vertex Pharmaceuticals (VRTX) EV to EBITDA (2009 - 2026)
Vertex Pharmaceuticals (VRTX) posted EV to EBITDA of 94.63 for Q2 2026, up 1.36% on a QoQ basis from 93.36 in Q1 2026, and up 1.12% year-over-year from 93.58 in Q2 2025.
Vertex Pharmaceuticals (VRTX) EV to EBITDA (2009 - 2026) Analysis & Trends
Vertex Pharmaceuticals has reported EV to EBITDA for 18 years, with the latest figure at 94.63 in Q2 2026.
- On a quarterly basis, EV to EBITDA rose 1.12% year-over-year to 94.63 in Q2 2026; TTM through Jun 2026 was 24.7, a 10.04% decrease from a year earlier, with the FY2025 full-year figure at 26.01, up 106.22% from the prior year.
- EV to EBITDA was 94.63 for Q2 2026 at Vertex Pharmaceuticals, up from 93.36 in the prior quarter.
- The five-year high for EV to EBITDA was 187.88 in Q1 2025, with the low at 32.76 in Q2 2024.
- Average EV to EBITDA over 5 years is 80.94, with a median of 87.92 recorded in 2024.
- The sharpest annual moves came in 2024 and 2025: EV to EBITDA tumbled 142.3% in 2024, then soared 385.65% in 2025.
- Over 5 years, EV to EBITDA stood at 61.38 in 2022, then jumped by 54.31% to 94.72 in 2023, then advanced by 0.17% to 94.89 in 2024, then slipped by 5.14% to 90.01 in 2025, then rose by 5.13% to 94.63 in 2026.
- The last three EV to EBITDA figures came in at 94.63 (Q2 2026), 93.36 (Q1 2026), and 90.01 (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.63 |
| Mar 31, 2026 | 93.36 |
| Dec 31, 2025 | 90.01 |
| Sep 30, 2025 | 78.55 |
| Jun 30, 2025 | 93.58 |
| Mar 31, 2025 | 187.88 |
| Dec 31, 2024 | 94.89 |
| Sep 30, 2024 | 101.54 |
| Jun 30, 2024 | -32.76 |
| Mar 31, 2024 | 85.83 |
| Dec 31, 2023 | 94.72 |
| Sep 30, 2023 | 74.88 |
| Jun 30, 2023 | 77.44 |
| Mar 31, 2023 | 90.78 |
| Dec 31, 2022 | 61.38 |
| Sep 30, 2022 | 57.28 |
| Jun 30, 2022 | 56.85 |
| Mar 31, 2022 | 56.16 |
| Dec 31, 2021 | 55.10 |
| Sep 30, 2021 | 37.47 |
Vertex Pharmaceuticals EV to EBITDA 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=ev-to-ebitda&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();