Viatris (VTRS) Capital Expenditures (2020 - 2026)
Viatris (VTRS) posted Capital Expenditures of $52.8 million for Q2 2026, down 0.2% from $52.9 million a year earlier but up 32.3% from the prior quarter.
Viatris (VTRS) Capital Expenditures (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Viatris was $376 million, up 20.2% year-over-year; for FY2025, it came in at $378.8 million, up 16.2% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In prior years, Viatris' Capital Expenditures was $326 million in FY2024 (-13.5%), $377 million in FY2023 (-7.1%), $406 million in FY2022 (-11.2%) and $457.2 million in FY2021 (+88.1%).
- Quarterly Capital Expenditures has run from a low of $39.9 million in Q1 2026 to a high of $197.4 million in Q4 2021 over five years.
- On a year-over-year basis, Capital Expenditures increased in two of the last eight quarters, with an average decline of 1.7%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2021, with growth of 68.9%; the weakest was Q1 2023, with a decline of 25.9%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $39.9 million (Q1 2026), $196.5 million (Q4 2025) and $86.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.18 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 1.36 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 301.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.04 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -3.30 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 587.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 237.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 573.00 Mn |
| 10 | Viatris | 23.90 Bn | 17.07 Bn | 1.44 Bn | 85.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 85.70 Mn |
| Jun 30, 2026 | 52.80 Mn |
| Mar 31, 2026 | 39.90 Mn |
| Dec 31, 2025 | 196.50 Mn |
| Sep 30, 2025 | 86.80 Mn |
| Jun 30, 2025 | 52.90 Mn |
| Mar 31, 2025 | 42.60 Mn |
| Dec 31, 2024 | 140.40 Mn |
| Sep 30, 2024 | 77.00 Mn |
| Jun 30, 2024 | 58.80 Mn |
| Mar 31, 2024 | 49.80 Mn |
| Dec 31, 2023 | 165.50 Mn |
| Sep 30, 2023 | 95.90 Mn |
| Jun 30, 2023 | 67.80 Mn |
| Mar 31, 2023 | 47.80 Mn |
| Dec 31, 2022 | 153.70 Mn |
| Sep 30, 2022 | 103.90 Mn |
| Jun 30, 2022 | 83.90 Mn |
| Mar 31, 2022 | 64.50 Mn |
| Dec 31, 2021 | 197.40 Mn |
Viatris Capital Expenditures 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=capital-expenditures&ticker=VTRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();