Vertex Pharmaceuticals (VRTX) Total Non-Current Liabilities (2009 - 2026)
Vertex Pharmaceuticals' Total Non-Current Liabilities came in at $10.48 billion for Q3 2026, up 66.1% from $6.31 billion a year earlier and up 77.1% from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Vertex Pharmaceuticals' Total Non-Current Liabilities was $5.71 billion, up 11.7% from FY2024.
- Total Non-Current Liabilities has increased in each of the last eight years, with a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $5.11 billion in FY2024 (+19.6%), $4.27 billion in FY2023 (+20.3%), $3.55 billion in FY2022 (+17.3%) and $3.03 billion in FY2021 (+17.5%).
- The Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Year-over-year, Total Non-Current Liabilities has increased for 35 consecutive quarters, with growth averaging 21.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 4.4% in Q2 2026 to 66.1% in Q3 2026.
- Business Quant data shows VRTX's Total Non-Current Liabilities at $5.92 billion (Q2 2026), $5.87 billion (Q1 2026) and $5.71 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Vertex Pharmaceuticals | 138.78 Bn | 110.77 Bn | 2.91 Bn | 10.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.48 Bn |
| Jun 30, 2026 | 5.92 Bn |
| Mar 31, 2026 | 5.87 Bn |
| Dec 31, 2025 | 5.71 Bn |
| Sep 30, 2025 | 6.31 Bn |
| Jun 30, 2025 | 5.67 Bn |
| Mar 31, 2025 | 5.43 Bn |
| Dec 31, 2024 | 5.11 Bn |
| Sep 30, 2024 | 5.68 Bn |
| Jun 30, 2024 | 4.48 Bn |
| Mar 31, 2024 | 4.52 Bn |
| Dec 31, 2023 | 4.27 Bn |
| Sep 30, 2023 | 4.34 Bn |
| Jun 30, 2023 | 4.12 Bn |
| Mar 31, 2023 | 3.82 Bn |
| Dec 31, 2022 | 3.55 Bn |
| Sep 30, 2022 | 3.31 Bn |
| Jun 30, 2022 | 3.27 Bn |
| Mar 31, 2022 | 2.87 Bn |
| Dec 31, 2021 | 3.03 Bn |
API Access
Vertex Pharmaceuticals Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();