Viatris (VTRS) Return on Capital Employed [ROCE] (2020 - 2026)
Viatris (VTRS) posted Return on Capital Employed [ROCE] of -0.29% for Q2 2026, up 8.02 percentage points from -8.31% a year earlier but down 0.76 percentage points from the prior quarter.
Viatris (VTRS) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Viatris' Return on Capital Employed [ROCE] came in at -8.26%, down 8.28 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three consecutive years, with a five-year change of -7.67 percentage points (FY2020 to FY2025).
- In prior years, Viatris' Return on Capital Employed [ROCE] was 0.03% in FY2024 (-1.84 pp), 1.87% in FY2023 (-1.67 pp), 3.53% in FY2022 (+3.61 pp) and -0.07% in FY2021 (+0.52 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -8.98% in Q1 2025 to a high of 4.01% in Q3 2022 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -2.86 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2026, with a gain of 9.44 percentage points; the weakest was Q1 2025, with a drop of 10.41 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 0.46% (Q1 2026), -8.74% (Q4 2025) and -8.60% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Viatris | 20.22 Bn | 15.23 Bn | 1.46 Bn | -0.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.29% |
| Mar 31, 2026 | 0.46% |
| Dec 31, 2025 | -8.74% |
| Sep 30, 2025 | -8.60% |
| Jun 30, 2025 | -8.31% |
| Mar 31, 2025 | -8.98% |
| Dec 31, 2024 | 0.03% |
| Sep 30, 2024 | -0.71% |
| Jun 30, 2024 | -0.10% |
| Mar 31, 2024 | 1.43% |
| Dec 31, 2023 | 1.89% |
| Sep 30, 2023 | 2.43% |
| Jun 30, 2023 | 2.66% |
| Mar 31, 2023 | 3.00% |
| Dec 31, 2022 | 3.79% |
| Sep 30, 2022 | 4.01% |
| Jun 30, 2022 | 3.44% |
| Mar 31, 2022 | 2.11% |
| Dec 31, 2021 | -0.07% |
| Sep 30, 2021 | -1.78% |
Viatris Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=VTRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();