Vertex Pharmaceuticals (VRTX) Cash & Equivalents (2009 - 2026)
Vertex Pharmaceuticals' Cash & Equivalents was $4.98 billion in Q3 2026, up 0.8% from $4.94 billion a year earlier but down 19.0% from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Vertex Pharmaceuticals came in at $5.08 billion, up 11.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $4.57 billion in FY2024 (-55.9%), $10.37 billion in FY2023 (-1.3%), $10.5 billion in FY2022 (+54.6%) and $6.8 billion in FY2021 (+13.5%).
- Quarterly Cash & Equivalents has moved between $4.57 billion (Q4 2024) and $11.11 billion (Q3 2023) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with an average decline of 6.1% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2022 (growth of 54.6%); the worst was Q4 2024 (a decline of 55.9%).
- Per Business Quant data, VRTX's Cash & Equivalents in the three quarters before Q3 2026 was $6.14 billion (Q2 2026), $5.49 billion (Q1 2026) and $5.08 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn | 4.98 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.98 Bn |
| Jun 30, 2026 | 6.14 Bn |
| Mar 31, 2026 | 5.49 Bn |
| Dec 31, 2025 | 5.08 Bn |
| Sep 30, 2025 | 4.94 Bn |
| Jun 30, 2025 | 4.97 Bn |
| Mar 31, 2025 | 4.67 Bn |
| Dec 31, 2024 | 4.57 Bn |
| Sep 30, 2024 | 5.24 Bn |
| Jun 30, 2024 | 4.58 Bn |
| Mar 31, 2024 | 9.16 Bn |
| Dec 31, 2023 | 10.37 Bn |
| Sep 30, 2023 | 11.11 Bn |
| Jun 30, 2023 | 10.15 Bn |
| Mar 31, 2023 | 9.29 Bn |
| Dec 31, 2022 | 10.50 Bn |
| Sep 30, 2022 | 9.17 Bn |
| Jun 30, 2022 | 8.70 Bn |
| Mar 31, 2022 | 7.60 Bn |
| Dec 31, 2021 | 6.80 Bn |
API Access
Vertex Pharmaceuticals Cash & Equivalents 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=cash-and-equivalents&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();