Vertex Pharmaceuticals (VRTX) Long-Term Debt Repayments (2011 - 2025)
Vertex Pharmaceuticals (VRTX) reported Long-Term Debt Repayments of $1.4 million for Q4 2025, up 7.7% from $1.3 million a year earlier and unchanged from the prior quarter.
Vertex Pharmaceuticals (VRTX) Long-Term Debt Repayments (2011 - 2025) Analysis & Trends
For FY2025, Vertex Pharmaceuticals posted Long-Term Debt Repayments of $5.4 million, down 83.9% from FY2024.
- Long-Term Debt Repayments has declined for three consecutive years, with a five-year compound annual growth rate of -33.7% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $33.6 million in FY2024 (-25.2%), $44.9 million in FY2023 (-47.5%), $85.5 million in FY2022 (+81.9%) and $47 million in FY2021 (+11.1%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $1.3 million in Q4 2024 and a high of $49.5 million in Q3 2022.
- Year over year, Long-Term Debt Repayments gained in three of the last eight quarters, with an average decline of 42.4%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2022 (growth of 309.1%); the low point was Q2 2025 (a decline of 90.5%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $1.4 million (Q3 2025), $1.3 million (Q2 2025) and $1.3 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 1.00 Mn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 2.00 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 5.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -2.45 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 17.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | - |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 1.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.40 Mn |
| Sep 30, 2025 | 1.40 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 5.40 Mn |
| Jun 30, 2024 | 13.70 Mn |
| Mar 31, 2024 | 13.20 Mn |
| Dec 31, 2023 | 12.00 Mn |
| Sep 30, 2023 | 11.30 Mn |
| Jun 30, 2023 | 11.00 Mn |
| Mar 31, 2023 | 10.60 Mn |
| Dec 31, 2022 | 10.40 Mn |
| Sep 30, 2022 | 49.50 Mn |
| Jun 30, 2022 | 12.70 Mn |
| Mar 31, 2022 | 12.90 Mn |
| Dec 31, 2021 | 12.40 Mn |
| Sep 30, 2021 | 12.10 Mn |
| Jun 30, 2021 | 10.30 Mn |
| Mar 31, 2021 | 12.20 Mn |
Vertex Pharmaceuticals Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();