Viatris (VTRS) Cash & Equivalents (2019 - 2026)
Viatris (VTRS) reported Cash & Equivalents of $886.5 million for Q2 2026, up 56.5% from $566.4 million a year earlier but down 50.9% from the prior quarter.
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Analysis
Viatris (VTRS) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Viatris posted Cash & Equivalents of $1.32 billion, up 79.6% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $736.1 million in FY2024 (-25.8%), $991.9 million in FY2023 (-21.4%), $1.26 billion in FY2022 (+78.8%) and $706.2 million in FY2021 (-16.9%).
- Five-year quarterly Cash & Equivalents spans a low of $506.6 million in Q1 2023 and a high of $1.88 billion in Q3 2024.
- Year over year, Cash & Equivalents has now increased in each of the last three quarters, with growth averaging 22.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2026 (growth of 139.0%); the low point was Q3 2025 (a decline of 48.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.8 billion (Q1 2026), $1.32 billion (Q4 2025) and $975.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Viatris | 20.05 Bn | 15.07 Bn | 1.46 Bn | 886.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 886.50 Mn |
| Mar 31, 2026 | 1.80 Bn |
| Dec 31, 2025 | 1.32 Bn |
| Sep 30, 2025 | 975.30 Mn |
| Jun 30, 2025 | 566.40 Mn |
| Mar 31, 2025 | 755.00 Mn |
| Dec 31, 2024 | 736.10 Mn |
| Sep 30, 2024 | 1.88 Bn |
| Jun 30, 2024 | 917.20 Mn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 991.90 Mn |
| Sep 30, 2023 | 1.31 Bn |
| Jun 30, 2023 | 629.20 Mn |
| Mar 31, 2023 | 506.60 Mn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 646.70 Mn |
| Jun 30, 2022 | 664.70 Mn |
| Mar 31, 2022 | 752.40 Mn |
| Dec 31, 2021 | 706.20 Mn |
| Sep 30, 2021 | 756.60 Mn |
API Access
Viatris Cash & Equivalents 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-and-equivalents&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();