Vertex Pharmaceuticals (VRTX) Cost of Revenue (2011 - 2026)
Vertex Pharmaceuticals' Cost of Revenue came in at $489.2 million for Q2 2026, up 20.0% from $407.5 million a year earlier and up 24.5% from the prior quarter.
Vertex Pharmaceuticals (VRTX) Cost of Revenue (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vertex Pharmaceuticals reported Cost of Revenue of $1.76 billion, up 11.1% year-over-year; for FY2025, it came in at $1.65 billion, up 7.9% from FY2024.
- Cost of Revenue has increased in each of the last 11 years, with a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $1.53 billion in FY2024 (+21.3%), $1.26 billion in FY2023 (+16.8%), $1.08 billion in FY2022 (+19.5%) and $904.2 million in FY2021 (+22.8%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q3 2011.
- Year-over-year, Cost of Revenue has increased for 37 consecutive quarters, with growth averaging 12.2% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 5.7% (Q3 2025) and 29.9% (Q4 2023) over the last five years.
- Business Quant data shows VRTX's Cost of Revenue at $392.8 million (Q1 2026), $466 million (Q4 2025) and $414.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | 489.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 489.20 Mn |
| Mar 31, 2026 | 392.80 Mn |
| Dec 31, 2025 | 466.00 Mn |
| Sep 30, 2025 | 414.80 Mn |
| Jun 30, 2025 | 407.50 Mn |
| Mar 31, 2025 | 363.00 Mn |
| Dec 31, 2024 | 423.40 Mn |
| Sep 30, 2024 | 392.60 Mn |
| Jun 30, 2024 | 371.90 Mn |
| Mar 31, 2024 | 342.60 Mn |
| Dec 31, 2023 | 368.00 Mn |
| Sep 30, 2023 | 318.70 Mn |
| Jun 30, 2023 | 308.60 Mn |
| Mar 31, 2023 | 266.90 Mn |
| Dec 31, 2022 | 283.30 Mn |
| Sep 30, 2022 | 289.40 Mn |
| Jun 30, 2022 | 261.80 Mn |
| Mar 31, 2022 | 245.80 Mn |
| Dec 31, 2021 | 247.40 Mn |
| Sep 30, 2021 | 236.50 Mn |
Vertex Pharmaceuticals Cost of Revenue 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=cost-of-revenue&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();