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 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Viatris | 20.35 Bn | 15.36 Bn | 1.46 Bn | 52.80 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 121.00 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();