Viatris (VTRS) Return on Sales [ROS] (2019 - 2026)
Viatris (VTRS) posted Return on Sales [ROS] of 0.17% for Q2 2026, down 6.34 percentage points from 6.50% a year earlier but up 2.43 percentage points from the prior quarter.
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Analysis
Viatris (VTRS) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Viatris was -0.59%, up 17.85 percentage points year-over-year; for FY2025, it came in at -18.62%, down 18.69 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -16.86 percentage points (FY2020 to FY2025).
- In prior years, Viatris' Return on Sales [ROS] was 0.07% in FY2024 (-4.90 pp), 4.97% in FY2023 (-4.96 pp), 9.93% in FY2022 (+10.12 pp) and -0.19% in FY2021 (+1.57 pp).
- Quarterly Return on Sales [ROS] has run from a low of -88.57% in Q1 2025 to a high of 16.88% in Q1 2022 over five years.
- 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 -0.18 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 86.30 percentage points; the weakest was Q1 2025, with a drop of 94.13 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -2.27% (Q1 2026), -5.20% (Q4 2025) and 4.76% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Viatris | 20.22 Bn | 15.23 Bn | 1.46 Bn | 0.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.17% |
| Mar 31, 2026 | -2.27% |
| Dec 31, 2025 | -5.20% |
| Sep 30, 2025 | 4.76% |
| Jun 30, 2025 | 6.50% |
| Mar 31, 2025 | -88.57% |
| Dec 31, 2024 | -5.10% |
| Sep 30, 2024 | 6.02% |
| Jun 30, 2024 | -6.32% |
| Mar 31, 2024 | 5.57% |
| Dec 31, 2023 | -11.84% |
| Sep 30, 2023 | 11.46% |
| Jun 30, 2023 | 9.42% |
| Mar 31, 2023 | 10.72% |
| Dec 31, 2022 | -5.19% |
| Sep 30, 2022 | 13.73% |
| Jun 30, 2022 | 13.33% |
| Mar 31, 2022 | 16.88% |
| Dec 31, 2021 | -1.79% |
| Sep 30, 2021 | 7.88% |
API Access
Viatris 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=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VTRS", "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=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();