Vertex Pharmaceuticals (VRTX) Price to Earnings (2009 - 2026)
Vertex Pharmaceuticals (VRTX) posted Price to Earnings of 114.43 for Q2 2026, up 3.99% on a QoQ basis from 110.04 in Q1 2026, and up 3.58% year-over-year from 110.47 in Q2 2025.
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Analysis
Vertex Pharmaceuticals (VRTX) Price to Earnings (2009 - 2026) Analysis & Trends
Vertex Pharmaceuticals has reported Price to Earnings for 18 years, with the latest figure at 114.43 in Q2 2026.
- On a quarterly basis, Price to Earnings rose 3.58% year-over-year to 114.43 in Q2 2026; TTM through Jun 2026 was 28.57, a 8.93% decrease from a year earlier, with the FY2025 full-year figure at 29.13, up 115.08% from the prior year.
- Price to Earnings was 114.43 for Q2 2026 at Vertex Pharmaceuticals, up from 110.04 in the prior quarter.
- The five-year high for Price to Earnings was 192.76 in Q1 2025, with the low at 33.65 in Q2 2024.
- Average Price to Earnings over 5 years is 98.09, with a median of 98.63 recorded in 2023.
- The sharpest annual moves came in 2024 and 2025: Price to Earnings plunged 133.97% in 2024, then soared 428.25% in 2025.
- Over 5 years, Price to Earnings stood at 90.63 in 2022, then grew by 19.42% to 108.23 in 2023, then advanced by 4.71% to 113.33 in 2024, then fell by 14.7% to 96.67 in 2025, then increased by 18.36% to 114.43 in 2026.
- The last three Price to Earnings figures came in at 114.43 (Q2 2026), 110.04 (Q1 2026), and 96.67 (Q4 2025), 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 |
|---|---|
| Jun 30, 2026 | 114.43 |
| Mar 31, 2026 | 110.04 |
| Dec 31, 2025 | 96.67 |
| Sep 30, 2025 | 91.84 |
| Jun 30, 2025 | 110.47 |
| Mar 31, 2025 | 192.76 |
| Dec 31, 2024 | 113.33 |
| Sep 30, 2024 | 114.66 |
| Jun 30, 2024 | -33.65 |
| Mar 31, 2024 | 98.19 |
| Dec 31, 2023 | 108.23 |
| Sep 30, 2023 | 86.60 |
| Jun 30, 2023 | 99.07 |
| Mar 31, 2023 | 115.94 |
| Dec 31, 2022 | 90.63 |
| Sep 30, 2022 | 79.86 |
| Jun 30, 2022 | 89.01 |
| Mar 31, 2022 | 87.52 |
| Dec 31, 2021 | 72.57 |
| Sep 30, 2021 | 54.55 |
API Access
Vertex Pharmaceuticals Price to Earnings 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=price-to-earnings&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();