Vertex Pharmaceuticals (VRTX) Non-Current Assets (2009 - 2026)
Vertex Pharmaceuticals' Non-Current Assets came in at $14.88 billion for Q2 2026, up 9.3% from $13.61 billion a year earlier and up 0.9% from the prior quarter.
Vertex Pharmaceuticals (VRTX) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Vertex Pharmaceuticals' Non-Current Assets was $14.44 billion, up 11.6% from FY2024.
- Non-Current Assets has increased in each of the last eight years, with a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $12.94 billion in FY2024 (+50.7%), $8.59 billion in FY2023 (+74.7%), $4.92 billion in FY2022 (+27.0%) and $3.87 billion in FY2021 (+7.0%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2009.
- Year-over-year, Non-Current Assets has increased for 19 consecutive quarters, with growth averaging 27.6% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2024 (growth of 76.9%), and the weakest in Q3 2021 (a decline of 2.0%).
- Business Quant data shows VRTX's Non-Current Assets at $14.75 billion (Q1 2026), $14.44 billion (Q4 2025) and $14.29 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | 14.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.88 Bn |
| Mar 31, 2026 | 14.75 Bn |
| Dec 31, 2025 | 14.44 Bn |
| Sep 30, 2025 | 14.29 Bn |
| Jun 30, 2025 | 13.61 Bn |
| Mar 31, 2025 | 12.87 Bn |
| Dec 31, 2024 | 12.94 Bn |
| Sep 30, 2024 | 12.44 Bn |
| Jun 30, 2024 | 11.19 Bn |
| Mar 31, 2024 | 10.63 Bn |
| Dec 31, 2023 | 8.59 Bn |
| Sep 30, 2023 | 7.03 Bn |
| Jun 30, 2023 | 6.48 Bn |
| Mar 31, 2023 | 6.01 Bn |
| Dec 31, 2022 | 4.92 Bn |
| Sep 30, 2022 | 4.44 Bn |
| Jun 30, 2022 | 4.08 Bn |
| Mar 31, 2022 | 3.89 Bn |
| Dec 31, 2021 | 3.87 Bn |
| Sep 30, 2021 | 3.77 Bn |
Vertex Pharmaceuticals Non-Current Assets 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=non-current-assets&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();