Vertex Pharmaceuticals (VRTX) Return on Sales [ROS] (2009 - 2026)
Vertex Pharmaceuticals (VRTX) posted Return on Sales [ROS] of 20.72% for Q3 2026, down 17.84 percentage points from 38.56% a year earlier and down 16.68 percentage points from the prior quarter.
Vertex Pharmaceuticals (VRTX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Vertex Pharmaceuticals was 33.23%, down 0.83 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 Q3 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q2 2024.
- 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 +18.12 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 37.40% (Q2 2026), 38.10% (Q1 2026) and 37.80% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 32.98% |
| 10 | Vertex Pharmaceuticals | 138.73 Bn | 110.72 Bn | 2.91 Bn | 20.72% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.72% |
| 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% |
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();