Vertex Pharmaceuticals (VRTX) Tax Provisions (2011 - 2026)
Vertex Pharmaceuticals (VRTX) posted Tax Provisions of $292 million for Q2 2026, up 16.8% from $250.1 million a year earlier and up 31.8% from the prior quarter.
Vertex Pharmaceuticals (VRTX) Tax Provisions (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Vertex Pharmaceuticals was $869.3 million, up 18.0% year-over-year; for FY2025, it was $690 million, down 12.0% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In prior years, Vertex Pharmaceuticals' Tax Provisions was $784.1 million in FY2024 (+3.1%), $760.2 million in FY2023 (-16.5%), $910.4 million in FY2022 (+134.5%) and $388.3 million in FY2021 (-4.2%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions in data going back to Q3 2011.
- On a year-over-year basis, Tax Provisions increased in six of the last eight quarters, with growth averaging 22.9%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2021, with growth of 194.4%; the weakest was Q4 2021, with a decline of 64.6%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $221.5 million (Q1 2026), $139.9 million (Q4 2025) and $215.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 292.00 Mn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 770.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.00 Mn |
| Mar 31, 2026 | 221.50 Mn |
| Dec 31, 2025 | 139.90 Mn |
| Sep 30, 2025 | 215.90 Mn |
| Jun 30, 2025 | 250.10 Mn |
| Mar 31, 2025 | 84.10 Mn |
| Dec 31, 2024 | 223.50 Mn |
| Sep 30, 2024 | 178.70 Mn |
| Jun 30, 2024 | 202.40 Mn |
| Mar 31, 2024 | 179.50 Mn |
| Dec 31, 2023 | 178.80 Mn |
| Sep 30, 2023 | 143.90 Mn |
| Jun 30, 2023 | 245.80 Mn |
| Mar 31, 2023 | 191.70 Mn |
| Dec 31, 2022 | 257.90 Mn |
| Sep 30, 2022 | 245.90 Mn |
| Jun 30, 2022 | 213.90 Mn |
| Mar 31, 2022 | 192.70 Mn |
| Dec 31, 2021 | 100.80 Mn |
| Sep 30, 2021 | 230.90 Mn |
Vertex Pharmaceuticals Tax Provisions 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=tax-provisions&ticker=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();