Vertex Pharmaceuticals (VRTX) Accumulated Expenses (2009 - 2026)
Vertex Pharmaceuticals' Accumulated Expenses came in at $3.18 billion for Q2 2026, down 2.8% from $3.27 billion a year earlier but up 6.5% from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Vertex Pharmaceuticals' Accumulated Expenses was $2.97 billion, up 6.5% from FY2024.
- Accumulated Expenses has increased in each of the last 11 years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $2.79 billion in FY2024 (+5.0%), $2.66 billion in FY2023 (+24.9%), $2.13 billion in FY2022 (+26.7%) and $1.68 billion in FY2021 (+19.5%).
- The five-year range for quarterly Accumulated Expenses is $1.58 billion (Q3 2021) to $3.61 billion (Q3 2025).
- Year-over-year, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 6.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2022 (growth of 43.0%), and the weakest in Q3 2021 (a decline of 7.0%).
- Business Quant data shows VRTX's Accumulated Expenses at $2.98 billion (Q1 2026), $2.97 billion (Q4 2025) and $3.61 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.18 Bn |
| Mar 31, 2026 | 2.98 Bn |
| Dec 31, 2025 | 2.97 Bn |
| Sep 30, 2025 | 3.61 Bn |
| Jun 30, 2025 | 3.27 Bn |
| Mar 31, 2025 | 2.95 Bn |
| Dec 31, 2024 | 2.79 Bn |
| Sep 30, 2024 | 3.22 Bn |
| Jun 30, 2024 | 2.94 Bn |
| Mar 31, 2024 | 2.80 Bn |
| Dec 31, 2023 | 2.66 Bn |
| Sep 30, 2023 | 2.91 Bn |
| Jun 30, 2023 | 2.60 Bn |
| Mar 31, 2023 | 2.33 Bn |
| Dec 31, 2022 | 2.13 Bn |
| Sep 30, 2022 | 2.26 Bn |
| Jun 30, 2022 | 2.12 Bn |
| Mar 31, 2022 | 1.72 Bn |
| Dec 31, 2021 | 1.68 Bn |
| Sep 30, 2021 | 1.58 Bn |
API Access
Vertex Pharmaceuticals Accumulated Expenses 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=accumulated-expenses&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();