Vertex Pharmaceuticals (VRTX) Cash & Equivalents (2009 - 2026)
Vertex Pharmaceuticals' Cash & Equivalents was $6.14 billion in Q2 2026, up 23.6% from $4.97 billion a year earlier and up 11.8% 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%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q1 2024.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with an average decline of 12.8% 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 Q2 2026 was $5.49 billion (Q1 2026), $5.08 billion (Q4 2025) and $4.94 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 8.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 6.28 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();