Vertex Pharmaceuticals (VRTX) Price to Book (2009 - 2026)
Vertex Pharmaceuticals (VRTX) posted Price to Book of 6.22 for Q2 2026, up 6.03% on a QoQ basis from 5.86 in Q1 2026, and down 6.44% year-over-year from 6.64 in Q2 2025.
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Analysis
Vertex Pharmaceuticals (VRTX) Price to Book (2009 - 2026) Analysis & Trends
Vertex Pharmaceuticals has reported Price to Book for 18 years, with the latest figure at 6.22 in Q2 2026.
- On a quarterly basis, Price to Book fell 6.44% year-over-year to 6.22 in Q2 2026; TTM through Jun 2026 was 6.22, a 6.44% decrease from a year earlier, with the FY2025 full-year figure at 6.17, down 2.16% from the prior year.
- Price to Book was 6.22 for Q2 2026 at Vertex Pharmaceuticals, up from 5.86 in the prior quarter.
- The five-year high for Price to Book was 8.19 in Q2 2024, with the low at 5.33 in Q4 2022.
- Average Price to Book over 5 years is 6.24, with a median of 6.0 recorded in 2022.
- The sharpest annual moves came in 2024 and 2025: Price to Book surged 41.24% in 2024, then slipped 25.11% in 2025.
- Over 5 years, Price to Book stood at 5.33 in 2022, then gained by 11.8% to 5.96 in 2023, then gained by 5.72% to 6.31 in 2024, then fell by 2.16% to 6.17 in 2025, then increased by 0.75% to 6.22 in 2026.
- The last three Price to Book figures came in at 6.22 (Q2 2026), 5.86 (Q1 2026), and 6.17 (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 | 6.22 |
| Mar 31, 2026 | 5.86 |
| Dec 31, 2025 | 6.17 |
| Sep 30, 2025 | 5.74 |
| Jun 30, 2025 | 6.64 |
| Mar 31, 2025 | 7.55 |
| Dec 31, 2024 | 6.31 |
| Sep 30, 2024 | 7.67 |
| Jun 30, 2024 | 8.19 |
| Mar 31, 2024 | 5.82 |
| Dec 31, 2023 | 5.96 |
| Sep 30, 2023 | 5.43 |
| Jun 30, 2023 | 5.86 |
| Mar 31, 2023 | 5.62 |
| Dec 31, 2022 | 5.33 |
| Sep 30, 2022 | 5.70 |
| Jun 30, 2022 | 6.05 |
| Mar 31, 2022 | 6.12 |
| Dec 31, 2021 | 5.53 |
| Sep 30, 2021 | 4.88 |
API Access
Vertex Pharmaceuticals Price to Book 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-book&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();