Viatris (VTRS) Gains from Sales and Divestitures (2023 - 2026)
Viatris' Gains from Sales and Divestitures came in at -$13.9 million for Q1 2026, compared with -$36.9 million a year earlier.
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Analysis
Viatris (VTRS) Gains from Sales and Divestitures (2023 - 2026) Analysis & Trends
For FY2025, Viatris' Gains from Sales and Divestitures was -$101 million.
- Going back by year, Gains from Sales and Divestitures was -$399.5 million in FY2024, -$239.9 million in FY2023 and $1.75 billion in FY2022.
- The five-year range for quarterly Gains from Sales and Divestitures is -$258.8 million (Q2 2024) to $70.4 million (Q1 2024).
- Business Quant data shows VTRS's Gains from Sales and Divestitures at -$21.9 million (Q4 2025), $1.6 million (Q3 2025) and -$43.8 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Viatris | 20.22 Bn | 15.23 Bn | 1.46 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -13.90 Mn |
| Dec 31, 2025 | -21.90 Mn |
| Sep 30, 2025 | 1.60 Mn |
| Jun 30, 2025 | -43.80 Mn |
| Mar 31, 2025 | -36.90 Mn |
| Dec 31, 2024 | -103.70 Mn |
| Sep 30, 2024 | -107.40 Mn |
| Jun 30, 2024 | -258.80 Mn |
| Mar 31, 2024 | 70.40 Mn |
| Dec 31, 2023 | -239.90 Mn |
API Access
Viatris Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();