Vertex Pharmaceuticals (VRTX) Total Current Liabilities (2009 - 2026)
Vertex Pharmaceuticals (VRTX) posted Total Current Liabilities of $3.94 billion for Q2 2026, down 4.8% from $4.14 billion a year earlier but up 1.5% from the prior quarter.
Vertex Pharmaceuticals (VRTX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Vertex Pharmaceuticals' Total Current Liabilities came in at $3.86 billion, up 8.3% from FY2024.
- Annual Total Current Liabilities has increased for 11 consecutive years, with a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- In prior years, Vertex Pharmaceuticals' Total Current Liabilities was $3.56 billion in FY2024 (+0.5%), $3.55 billion in FY2023 (+29.4%), $2.74 billion in FY2022 (+28.0%) and $2.14 billion in FY2021 (+14.1%).
- Quarterly Total Current Liabilities has run from a low of $1.91 billion in Q3 2021 to a high of $4.48 billion in Q3 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2022, with growth of 39.2%; the weakest was Q2 2026, with a decline of 4.8%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $3.88 billion (Q1 2026), $3.86 billion (Q4 2025) and $4.48 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,221.09 Bn | 1,194.71 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 656.38 Bn | 576.24 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 510.79 Bn | 478.80 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 363.00 Bn | 317.38 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 313.89 Bn | 287.12 Bn | - | - |
| 6 | Astrazeneca | 290.02 Bn | 263.91 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 249.59 Bn | 204.98 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 208.15 Bn | 183.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 170.74 Bn | 118.10 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Vertex Pharmaceuticals | 137.20 Bn | 109.19 Bn | 2.91 Bn | 5.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.00 Bn |
| Jun 30, 2026 | 3.94 Bn |
| Mar 31, 2026 | 3.88 Bn |
| Dec 31, 2025 | 3.86 Bn |
| Sep 30, 2025 | 4.48 Bn |
| Jun 30, 2025 | 4.14 Bn |
| Mar 31, 2025 | 3.78 Bn |
| Dec 31, 2024 | 3.56 Bn |
| Sep 30, 2024 | 3.97 Bn |
| Jun 30, 2024 | 3.55 Bn |
| Mar 31, 2024 | 3.80 Bn |
| Dec 31, 2023 | 3.55 Bn |
| Sep 30, 2023 | 3.60 Bn |
| Jun 30, 2023 | 3.35 Bn |
| Mar 31, 2023 | 3.03 Bn |
| Dec 31, 2022 | 2.74 Bn |
| Sep 30, 2022 | 2.61 Bn |
| Jun 30, 2022 | 2.56 Bn |
| Mar 31, 2022 | 2.18 Bn |
| Dec 31, 2021 | 2.14 Bn |
Vertex Pharmaceuticals Total 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-current-liabilities&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();