Viatris (VTRS) Operating Expenses (2019 - 2026)
Viatris (VTRS) reported Operating Expenses of $1.45 billion for Q2 2026, up 31.8% from $1.1 billion a year earlier and up 17.2% from the prior quarter.
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Analysis
Viatris (VTRS) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Viatris' Operating Expenses came in at $5.22 billion, down 32.8% year-over-year; for FY2025, it was $7.68 billion, up 36.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $5.61 billion in FY2024 (-1.0%), $5.67 billion in FY2023 (+16.2%), $4.88 billion in FY2022 (-13.0%) and $5.61 billion in FY2021 (+40.0%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in two of the last eight quarters, with growth averaging 12.4%.
- The high point for year-over-year Operating Expenses in five years was Q1 2025 (growth of 211.0%); the low point was Q1 2026 (a decline of 69.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.24 billion (Q1 2026), $1.34 billion (Q4 2025) and $1.19 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Viatris | 20.35 Bn | 15.36 Bn | 1.46 Bn | 1.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.45 Bn |
| Mar 31, 2026 | 1.24 Bn |
| Dec 31, 2025 | 1.34 Bn |
| Sep 30, 2025 | 1.19 Bn |
| Jun 30, 2025 | 1.10 Bn |
| Mar 31, 2025 | 4.04 Bn |
| Dec 31, 2024 | 1.39 Bn |
| Sep 30, 2024 | 1.23 Bn |
| Jun 30, 2024 | 1.69 Bn |
| Mar 31, 2024 | 1.30 Bn |
| Dec 31, 2023 | 2.05 Bn |
| Sep 30, 2023 | 1.24 Bn |
| Jun 30, 2023 | 1.24 Bn |
| Mar 31, 2023 | 1.14 Bn |
| Dec 31, 2022 | 1.48 Bn |
| Sep 30, 2022 | 1.19 Bn |
| Jun 30, 2022 | 1.15 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 1.62 Bn |
| Sep 30, 2021 | 1.22 Bn |
API Access
Viatris Operating Expenses 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=operating-expenses&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();