Vertex Pharmaceuticals (VRTX) Other Accumulated Expenses (2009 - 2026)
Vertex Pharmaceuticals (VRTX) posted Other Accumulated Expenses of $329.4 million for Q2 2026, down 22.6% from $425.4 million a year earlier and down 19.1% from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Vertex Pharmaceuticals' Other Accumulated Expenses came in at $428.3 million, up 18.0% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Vertex Pharmaceuticals' Other Accumulated Expenses was $363 million in FY2024 (-31.1%), $527.2 million in FY2023 (+69.2%), $311.5 million in FY2022 (+16.1%) and $268.4 million in FY2021 (-15.4%).
- The Q2 2026 figure stands as the lowest quarterly Other Accumulated Expenses since Q2 2024.
- On a year-over-year basis, Other Accumulated Expenses increased in five of the last eight quarters, with growth averaging 2.3%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2024, with growth of 72.0%; the weakest was Q1 2025, with a decline of 40.4%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $407.1 million (Q1 2026), $428.3 million (Q4 2025) and $441.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 329.40 Mn |
| Mar 31, 2026 | 407.10 Mn |
| Dec 31, 2025 | 428.30 Mn |
| Sep 30, 2025 | 441.50 Mn |
| Jun 30, 2025 | 425.40 Mn |
| Mar 31, 2025 | 386.40 Mn |
| Dec 31, 2024 | 363.00 Mn |
| Sep 30, 2024 | 357.60 Mn |
| Jun 30, 2024 | 279.30 Mn |
| Mar 31, 2024 | 648.60 Mn |
| Dec 31, 2023 | 527.20 Mn |
| Sep 30, 2023 | 316.20 Mn |
| Jun 30, 2023 | 391.00 Mn |
| Mar 31, 2023 | 377.00 Mn |
| Dec 31, 2022 | 311.50 Mn |
| Sep 30, 2022 | 218.00 Mn |
| Jun 30, 2022 | 238.70 Mn |
| Mar 31, 2022 | 286.10 Mn |
| Dec 31, 2021 | 268.40 Mn |
| Sep 30, 2021 | 201.41 Mn |
API Access
Vertex Pharmaceuticals Other 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=other-accumulated-expenses&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();