Vertex Pharmaceuticals (VRTX) Return on Sales [ROS] (2009 - 2026)
Vertex Pharmaceuticals (VRTX) posted Return on Sales [ROS] of 37.40% for Q2 2026, down 1.43 percentage points from 38.83% a year earlier and down 0.70 percentage points from the prior quarter.
Vertex Pharmaceuticals (VRTX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Vertex Pharmaceuticals was 37.95%, up 3.59 percentage points year-over-year; for FY2025, it came in at 34.77%, up 36.89 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -11.25 percentage points (FY2020 to FY2025).
- In prior years, Vertex Pharmaceuticals' Return on Sales [ROS] was -2.11% in FY2024 (-40.94 pp), 38.83% in FY2023 (-9.40 pp), 48.23% in FY2022 (+11.50 pp) and 36.73% in FY2021 (-9.30 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +20.16 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2025, with a gain of 171.68 percentage points; the weakest was Q2 2024, with a drop of 174.02 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 38.10% (Q1 2026), 37.80% (Q4 2025) and 38.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 28.37% |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | 37.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.40% |
| Mar 31, 2026 | 38.10% |
| Dec 31, 2025 | 37.80% |
| Sep 30, 2025 | 38.56% |
| Jun 30, 2025 | 38.83% |
| Mar 31, 2025 | 22.75% |
| Dec 31, 2024 | 35.23% |
| Sep 30, 2024 | 40.27% |
| Jun 30, 2024 | -132.85% |
| Mar 31, 2024 | 42.35% |
| Dec 31, 2023 | 39.26% |
| Sep 30, 2023 | 41.80% |
| Jun 30, 2023 | 41.17% |
| Mar 31, 2023 | 32.80% |
| Dec 31, 2022 | 44.88% |
| Sep 30, 2022 | 48.27% |
| Jun 30, 2022 | 50.37% |
| Mar 31, 2022 | 49.63% |
| Dec 31, 2021 | 42.35% |
| Sep 30, 2021 | 53.15% |
Vertex Pharmaceuticals Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();