Vertex Pharmaceuticals (VRTX) Payables (2009 - 2026)
Vertex Pharmaceuticals (VRTX) posted Payables of $429.5 million for Q2 2026, down 2.9% from $442.3 million a year earlier and down 12.2% from the prior quarter.
Vertex Pharmaceuticals (VRTX) Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Vertex Pharmaceuticals' Payables came in at $461.7 million, up 11.8% from FY2024.
- Annual Payables has increased for six consecutive years, with a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- In prior years, Vertex Pharmaceuticals' Payables was $413 million in FY2024 (+13.2%), $364.9 million in FY2023 (+20.1%), $303.9 million in FY2022 (+55.8%) and $195 million in FY2021 (+25.7%).
- Quarterly Payables has run from a low of $126.9 million in Q3 2022 to a high of $489.3 million in Q1 2026 over five years.
- On a year-over-year basis, Payables increased in seven of the last eight quarters, with growth averaging 13.1%.
- The strongest year-over-year quarter for Payables in the past five years was Q3 2023, with growth of 196.2%; the weakest was Q2 2024, with a decline of 9.7%.
- According to Business Quant data, Payables for the three prior quarters was $489.3 million (Q1 2026), $461.7 million (Q4 2025) and $420.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 6.11 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 20.92 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 33.30 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 5.96 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 4.26 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 22.89 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 2.87 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 674.00 Mn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 7.03 Bn |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | 429.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 429.50 Mn |
| Mar 31, 2026 | 489.30 Mn |
| Dec 31, 2025 | 461.70 Mn |
| Sep 30, 2025 | 420.30 Mn |
| Jun 30, 2025 | 442.30 Mn |
| Mar 31, 2025 | 445.00 Mn |
| Dec 31, 2024 | 413.00 Mn |
| Sep 30, 2024 | 395.80 Mn |
| Jun 30, 2024 | 327.90 Mn |
| Mar 31, 2024 | 351.40 Mn |
| Dec 31, 2023 | 364.90 Mn |
| Sep 30, 2023 | 375.90 Mn |
| Jun 30, 2023 | 363.00 Mn |
| Mar 31, 2023 | 323.20 Mn |
| Dec 31, 2022 | 303.90 Mn |
| Sep 30, 2022 | 126.90 Mn |
| Jun 30, 2022 | 198.00 Mn |
| Mar 31, 2022 | 173.60 Mn |
| Dec 31, 2021 | 195.00 Mn |
| Sep 30, 2021 | 127.86 Mn |
Vertex Pharmaceuticals Payables 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=payables&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();