Vertex Pharmaceuticals (VRTX) Research & Development (2009 - 2026)
Vertex Pharmaceuticals' Research & Development came in at $993.8 million for Q2 2026, up 1.6% from $978.4 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Research & Development (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vertex Pharmaceuticals reported Research & Development of $3.91 billion, up 1.9% year-over-year; for FY2025, it came in at $3.91 billion, up 7.7% from FY2024.
- Research & Development has increased in each of the last five years, with a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- Going back by year, Research & Development was $3.63 billion in FY2024 (+14.8%), $3.16 billion in FY2023 (+24.5%), $2.54 billion in FY2022 (+31.1%) and $1.94 billion in FY2021 (+17.8%).
- The Q2 2026 figure represents the highest quarterly Research & Development since Q4 2024.
- Year-over-year, Research & Development increased in six of the last eight quarters, with growth averaging 7.9%.
- The fastest year-over-year change in Research & Development over five years came in Q3 2022 (growth of 38.1%), and the weakest in Q3 2021 (a decline of 5.4%).
- Business Quant data shows VRTX's Research & Development at $961.6 million (Q1 2026), $973.7 million (Q4 2025) and $977.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,221.09 Bn | 1,194.71 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 656.38 Bn | 576.24 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 510.79 Bn | 478.80 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 363.00 Bn | 317.38 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 313.89 Bn | 287.12 Bn | - | - |
| 6 | Astrazeneca | 290.02 Bn | 263.91 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 249.59 Bn | 204.98 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 208.15 Bn | 183.26 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 170.74 Bn | 118.10 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Vertex Pharmaceuticals | 137.20 Bn | 109.19 Bn | 2.91 Bn | 1.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.32 Bn |
| Jun 30, 2026 | 993.80 Mn |
| Mar 31, 2026 | 961.60 Mn |
| Dec 31, 2025 | 973.70 Mn |
| Sep 30, 2025 | 977.70 Mn |
| Jun 30, 2025 | 978.40 Mn |
| Mar 31, 2025 | 979.70 Mn |
| Dec 31, 2024 | 998.70 Mn |
| Sep 30, 2024 | 875.90 Mn |
| Jun 30, 2024 | 966.60 Mn |
| Mar 31, 2024 | 789.10 Mn |
| Dec 31, 2023 | 824.60 Mn |
| Sep 30, 2023 | 810.00 Mn |
| Jun 30, 2023 | 785.70 Mn |
| Mar 31, 2023 | 742.60 Mn |
| Dec 31, 2022 | 694.10 Mn |
| Sep 30, 2022 | 645.00 Mn |
| Jun 30, 2022 | 600.10 Mn |
| Mar 31, 2022 | 601.10 Mn |
| Dec 31, 2021 | 567.80 Mn |
API Access
Vertex Pharmaceuticals Research & Development 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=research-and-development&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();