Viatris (VTRS) Cost of Revenue (2020 - 2026)
Viatris (VTRS) posted Cost of Revenue of $2.3 billion for Q2 2026, up 2.3% from $2.25 billion a year earlier but down 2.5% from the prior quarter.
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Analysis
Viatris (VTRS) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Viatris was $9.6 billion, up 7.3% year-over-year; for FY2025, it came in at $9.29 billion, up 1.9% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior years, Viatris' Cost of Revenue was $9.12 billion in FY2024 (+1.4%), $8.99 billion in FY2023 (-8.0%), $9.77 billion in FY2022 (-20.7%) and $12.31 billion in FY2021 (+51.1%).
- Quarterly Cost of Revenue has run from a low of $2.09 billion in Q1 2025 to a high of $2.96 billion in Q3 2021 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last four quarters, with growth averaging 3.4% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2026, with growth of 12.7%; the weakest was Q1 2022, with a decline of 26.7%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $2.36 billion (Q1 2026), $2.56 billion (Q4 2025) and $2.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Viatris | 20.22 Bn | 15.23 Bn | 1.46 Bn | 2.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Bn |
| Mar 31, 2026 | 2.36 Bn |
| Dec 31, 2025 | 2.56 Bn |
| Sep 30, 2025 | 2.39 Bn |
| Jun 30, 2025 | 2.25 Bn |
| Mar 31, 2025 | 2.09 Bn |
| Dec 31, 2024 | 2.31 Bn |
| Sep 30, 2024 | 2.29 Bn |
| Jun 30, 2024 | 2.35 Bn |
| Mar 31, 2024 | 2.16 Bn |
| Dec 31, 2023 | 2.24 Bn |
| Sep 30, 2023 | 2.25 Bn |
| Jun 30, 2023 | 2.31 Bn |
| Mar 31, 2023 | 2.19 Bn |
| Dec 31, 2022 | 2.60 Bn |
| Sep 30, 2022 | 2.33 Bn |
| Jun 30, 2022 | 2.41 Bn |
| Mar 31, 2022 | 2.42 Bn |
| Dec 31, 2021 | 2.80 Bn |
| Sep 30, 2021 | 2.96 Bn |
API Access
Viatris Cost of Revenue 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=cost-of-revenue&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();