Vertex Pharmaceuticals (VRTX) Non-Current Assets (2009 - 2026)
Vertex Pharmaceuticals' Non-Current Assets came in at $21.05 billion for Q3 2026, up 47.3% from $14.29 billion a year earlier and up 41.5% from the prior quarter.
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Analysis
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 Q3 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 20 consecutive quarters, with growth averaging 23.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Non-Current Assets ranged from 7.0% (Q4 2021) to 76.9% (Q1 2024).
- Business Quant data shows VRTX's Non-Current Assets at $14.88 billion (Q2 2026), $14.75 billion (Q1 2026) and $14.44 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 159.99 Bn |
| 10 | Vertex Pharmaceuticals | 138.78 Bn | 110.77 Bn | 2.91 Bn | 21.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.05 Bn |
| 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 |
API Access
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_KEYimport 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();