Vertex Pharmaceuticals (VRTX) Consolidated Net Income (2009 - 2026)
Vertex Pharmaceuticals' Consolidated Net Income was $1.1 billion in Q2 2026, up 6.5% from $1.03 billion a year earlier and up 6.6% from the prior quarter.
Vertex Pharmaceuticals (VRTX) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vertex Pharmaceuticals' Consolidated Net Income was $4.41 billion through Jun 30, 2026, up 21.1% year-over-year; for FY2025, it came in at $3.95 billion.
- Consolidated Net Income shows a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- In earlier years, Consolidated Net Income was -$535.6 million in FY2024, $3.62 billion in FY2023 (+9.0%), $3.32 billion in FY2022 (+41.8%) and $2.34 billion in FY2021 (-13.6%).
- Quarterly Consolidated Net Income has moved between -$3.59 billion (Q2 2024) and $1.19 billion (Q4 2025) over five years.
- Compared with a year earlier, Consolidated Net Income has increased for four straight quarters, with growth averaging 7.7% over the last seven quarters.
- The best year-over-year quarter for Consolidated Net Income over five years was Q1 2026 (growth of 59.6%); the worst was Q1 2025 (a decline of 41.2%).
- Per Business Quant data, VRTX's Consolidated Net Income in the three quarters before Q2 2026 was $1.03 billion (Q1 2026), $1.19 billion (Q4 2025) and $1.08 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,221.09 Bn | 1,194.71 Bn | 20.46 Bn | 6.45 Bn |
| 2 | Johnson & Johnson | 656.38 Bn | 576.24 Bn | 17.30 Bn | 210.00 Mn |
| 3 | AbbVie | 510.79 Bn | 478.80 Bn | 13.12 Bn | 4.22 Bn |
| 4 | Merck | 363.00 Bn | 317.38 Bn | 12.21 Bn | -1.34 Bn |
| 5 | Novartis Ag | 313.89 Bn | 287.12 Bn | - | - |
| 6 | Astrazeneca | 290.02 Bn | 263.91 Bn | 13.26 Bn | 3.12 Bn |
| 7 | Amgen | 249.59 Bn | 204.98 Bn | 7.24 Bn | 2.38 Bn |
| 8 | Gilead Sciences | 208.15 Bn | 183.26 Bn | 6.73 Bn | 2.43 Bn |
| 9 | Pfizer | 170.74 Bn | 118.10 Bn | 12.56 Bn | 3.25 Bn |
| 10 | Vertex Pharmaceuticals | 137.20 Bn | 109.19 Bn | 2.91 Bn | 653.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 653.60 Mn |
| Jun 30, 2026 | 1.10 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 1.19 Bn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 646.30 Mn |
| Dec 31, 2024 | 913.00 Mn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 30, 2024 | -3.59 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 968.80 Mn |
| Sep 30, 2023 | 1.04 Bn |
| Jun 30, 2023 | 915.70 Mn |
| Mar 31, 2023 | 699.80 Mn |
| Dec 31, 2022 | 818.90 Mn |
| Sep 30, 2022 | 930.50 Mn |
| Jun 30, 2022 | 810.50 Mn |
| Mar 31, 2022 | 762.10 Mn |
| Dec 31, 2021 | 770.10 Mn |
Vertex Pharmaceuticals Consolidated Net Income 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=consolidated-net-income&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();