Viatris (VTRS) Cash from Operations (2019 - 2026)
Viatris (VTRS) posted Cash from Operations of $381.8 million for Q2 2026, up 73.8% from $219.7 million a year earlier but down 1.7% from the prior quarter.
Viatris (VTRS) Cash from Operations (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Viatris was $2.33 billion, up 12.9% year-over-year; for FY2025, it was $2.32 billion, up 0.6% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In prior years, Viatris' Cash from Operations was $2.3 billion in FY2024 (-20.6%), $2.9 billion in FY2023 (-3.3%), $3 billion in FY2022 (-0.6%) and $3.02 billion in FY2021 (+144.9%).
- Quarterly Cash from Operations has run from a low of $189 million in Q4 2022 to a high of $1.14 billion in Q1 2022 over five years.
- On a year-over-year basis, Cash from Operations increased in two of the last eight quarters, with growth averaging 4.3%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q4 2023, with growth of 200.8%; the weakest was Q4 2022, with a decline of 63.9%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $388.3 million (Q1 2026), $815.8 million (Q4 2025) and $744.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 10.69 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 8.62 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.44 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 5.37 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 5.88 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.58 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 4.00 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.57 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 835.00 Mn |
| 10 | Viatris | 20.05 Bn | 15.07 Bn | 1.46 Bn | 381.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 381.80 Mn |
| Mar 31, 2026 | 388.30 Mn |
| Dec 31, 2025 | 815.80 Mn |
| Sep 30, 2025 | 744.90 Mn |
| Jun 30, 2025 | 219.70 Mn |
| Mar 31, 2025 | 535.50 Mn |
| Dec 31, 2024 | 482.70 Mn |
| Sep 30, 2024 | 826.50 Mn |
| Jun 30, 2024 | 379.10 Mn |
| Mar 31, 2024 | 614.60 Mn |
| Dec 31, 2023 | 568.50 Mn |
| Sep 30, 2023 | 835.20 Mn |
| Jun 30, 2023 | 525.10 Mn |
| Mar 31, 2023 | 971.20 Mn |
| Dec 31, 2022 | 189.00 Mn |
| Sep 30, 2022 | 869.00 Mn |
| Jun 30, 2022 | 802.50 Mn |
| Mar 31, 2022 | 1.14 Bn |
| Dec 31, 2021 | 523.10 Mn |
| Sep 30, 2021 | 1.09 Bn |
Viatris Cash from Operations 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=cash-from-operations&ticker=VTRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();