Vertex Pharmaceuticals (VRTX) Return on Assets [ROA] (2010 - 2026)
Vertex Pharmaceuticals' Return on Assets [ROA] came in at 16.34% for Q2 2026, up 0.84 percentage points from 15.51% a year earlier but down 0.30 percentage points from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025, Vertex Pharmaceuticals' Return on Assets [ROA] was 16.41%, up 18.78 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of -10.61 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -2.37% in FY2024 (-20.07 pp), 17.71% in FY2023 (-3.33 pp), 21.04% in FY2022 (+2.44 pp) and 18.60% in FY2021 (-8.42 pp).
- The five-year range for quarterly Return on Assets [ROA] is -4.36% (Q1 2025) to 21.41% (Q2 2022).
- Year-over-year, Return on Assets [ROA] has increased for five consecutive quarters, with an average year-over-year change of +1.99 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q1 2026 (a gain of 21.00 percentage points), and the weakest in Q1 2025 (a drop of 21.59 percentage points).
- Business Quant data shows VRTX's Return on Assets [ROA] at 16.64% (Q1 2026), 15.65% (Q4 2025) and 15.03% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,221.09 Bn | 1,194.71 Bn | 20.46 Bn | 19.00% |
| 2 | Johnson & Johnson | 656.38 Bn | 576.24 Bn | 17.30 Bn | 8.08% |
| 3 | AbbVie | 510.79 Bn | 478.80 Bn | 13.12 Bn | 7.32% |
| 4 | Merck | 363.00 Bn | 317.38 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 313.89 Bn | 287.12 Bn | - | - |
| 6 | Astrazeneca | 290.02 Bn | 263.91 Bn | 13.26 Bn | 9.36% |
| 7 | Amgen | 249.59 Bn | 204.98 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 208.15 Bn | 183.26 Bn | 6.73 Bn | -7.67% |
| 9 | Pfizer | 170.74 Bn | 118.10 Bn | 12.56 Bn | 2.00% |
| 10 | Vertex Pharmaceuticals | 137.20 Bn | 109.19 Bn | 2.91 Bn | 13.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.22% |
| Jun 30, 2026 | 16.34% |
| Mar 31, 2026 | 16.64% |
| Dec 31, 2025 | 15.65% |
| Sep 30, 2025 | 15.03% |
| Jun 30, 2025 | 15.51% |
| Mar 31, 2025 | -4.36% |
| Dec 31, 2024 | -2.39% |
| Sep 30, 2024 | -2.26% |
| Jun 30, 2024 | -2.22% |
| Mar 31, 2024 | 17.23% |
| Dec 31, 2023 | 16.28% |
| Sep 30, 2023 | 16.49% |
| Jun 30, 2023 | 17.11% |
| Mar 31, 2023 | 17.56% |
| Dec 31, 2022 | 19.06% |
| Sep 30, 2022 | 20.27% |
| Jun 30, 2022 | 21.41% |
| Mar 31, 2022 | 17.70% |
| Dec 31, 2021 | 17.98% |
API Access
Vertex Pharmaceuticals Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();