Viatris (VTRS) Property, Plant & Equipment (Net) (2019 - 2026)
Viatris (VTRS) reported Property, Plant & Equipment (Net) of $2.44 billion for Q2 2026, down 7.7% from $2.64 billion a year earlier and down 3.5% from the prior quarter.
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Analysis
Viatris (VTRS) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Viatris posted Property, Plant & Equipment (Net) of $2.61 billion, down 2.0% from FY2024.
- Property, Plant & Equipment (Net) has declined for five consecutive years, with a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $2.67 billion in FY2024 (-3.4%), $2.76 billion in FY2023 (-8.8%), $3.02 billion in FY2022 (-5.1%) and $3.19 billion in FY2021 (-7.8%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2019.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 19 quarters, with an average decline of 3.9% over the last eight quarters.
- Over the past five years, the year-over-year decline in Property, Plant & Equipment (Net) ranged from 0.8% (Q2 2025) to 10.7% (Q2 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.53 billion (Q1 2026), $2.61 billion (Q4 2025) and $2.63 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 32.19 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.10 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 5.94 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 25.90 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 14.06 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 8.88 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 5.95 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 19.05 Bn |
| 10 | Viatris | 23.90 Bn | 17.07 Bn | 1.44 Bn | 2.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.42 Bn |
| Jun 30, 2026 | 2.44 Bn |
| Mar 31, 2026 | 2.53 Bn |
| Dec 31, 2025 | 2.61 Bn |
| Sep 30, 2025 | 2.63 Bn |
| Jun 30, 2025 | 2.64 Bn |
| Mar 31, 2025 | 2.64 Bn |
| Dec 31, 2024 | 2.67 Bn |
| Sep 30, 2024 | 2.68 Bn |
| Jun 30, 2024 | 2.66 Bn |
| Mar 31, 2024 | 2.71 Bn |
| Dec 31, 2023 | 2.76 Bn |
| Sep 30, 2023 | 2.93 Bn |
| Jun 30, 2023 | 2.98 Bn |
| Mar 31, 2023 | 3.01 Bn |
| Dec 31, 2022 | 3.02 Bn |
| Sep 30, 2022 | 3.04 Bn |
| Jun 30, 2022 | 3.08 Bn |
| Mar 31, 2022 | 3.15 Bn |
| Dec 31, 2021 | 3.19 Bn |
API Access
Viatris Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();