Vertex Pharmaceuticals (VRTX) Operating Expenses (2009 - 2026)
Vertex Pharmaceuticals (VRTX) reported Operating Expenses of $2.09 billion for Q2 2026, up 15.1% from $1.81 billion a year earlier and up 12.9% from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vertex Pharmaceuticals' Operating Expenses came in at $7.81 billion, up 4.2% year-over-year; for FY2025, it was $7.83 billion, down 30.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $11.25 billion in FY2024 (+86.4%), $6.04 billion in FY2023 (+30.6%), $4.62 billion in FY2022 (-3.5%) and $4.79 billion in FY2021 (+43.1%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 3.3%.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 320.0%); the low point was Q2 2025 (a decline of 70.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.85 billion (Q1 2026), $1.98 billion (Q4 2025) and $1.89 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | 2.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.09 Bn |
| Mar 31, 2026 | 1.85 Bn |
| Dec 31, 2025 | 1.98 Bn |
| Sep 30, 2025 | 1.89 Bn |
| Jun 30, 2025 | 1.81 Bn |
| Mar 31, 2025 | 2.14 Bn |
| Dec 31, 2024 | 1.89 Bn |
| Sep 30, 2024 | 1.66 Bn |
| Jun 30, 2024 | 6.16 Bn |
| Mar 31, 2024 | 1.55 Bn |
| Dec 31, 2023 | 1.53 Bn |
| Sep 30, 2023 | 1.45 Bn |
| Jun 30, 2023 | 1.47 Bn |
| Mar 31, 2023 | 1.60 Bn |
| Dec 31, 2022 | 1.27 Bn |
| Sep 30, 2022 | 1.21 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 1.19 Bn |
| Sep 30, 2021 | 929.60 Mn |
API Access
Vertex Pharmaceuticals Operating Expenses 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=operating-expenses&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();