Viatris (VTRS) Total Liabilities (2019 - 2026)
Viatris' Total Liabilities came in at $20.78 billion for Q2 2026, down 9.0% from $22.84 billion a year earlier and down 6.3% from the prior quarter.
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Analysis
Viatris (VTRS) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Viatris' Total Liabilities was $22.48 billion, down 1.7% from FY2024.
- Total Liabilities has declined in each of the last five years, with a five-year compound annual growth rate of -10.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $22.87 billion in FY2024 (-16.0%), $27.22 billion in FY2023 (-6.0%), $28.95 billion in FY2022 (-15.7%) and $34.35 billion in FY2021 (-11.0%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q3 2020.
- Year-over-year, Total Liabilities has declined for 19 consecutive quarters, with an average decline of 9.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2021 (growth of 200.7%), and the weakest in Q1 2025 (a decline of 16.5%).
- Business Quant data shows VTRS's Total Liabilities at $22.18 billion (Q1 2026), $22.48 billion (Q4 2025) and $22.7 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.62 Bn | 1,103.20 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 616.94 Bn | 535.47 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.32 Bn | 474.43 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 367.44 Bn | 321.82 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.20 Bn | 262.19 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.78 Bn | 235.47 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 235.70 Bn | 191.10 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 190.88 Bn | 165.07 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.72 Bn | 116.36 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Viatris | 21.68 Bn | 16.69 Bn | 1.46 Bn | 20.78 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.78 Bn |
| Mar 31, 2026 | 22.18 Bn |
| Dec 31, 2025 | 22.48 Bn |
| Sep 30, 2025 | 22.70 Bn |
| Jun 30, 2025 | 22.84 Bn |
| Mar 31, 2025 | 22.82 Bn |
| Dec 31, 2024 | 22.87 Bn |
| Sep 30, 2024 | 24.96 Bn |
| Jun 30, 2024 | 25.81 Bn |
| Mar 31, 2024 | 27.33 Bn |
| Dec 31, 2023 | 27.22 Bn |
| Sep 30, 2023 | 27.88 Bn |
| Jun 30, 2023 | 27.85 Bn |
| Mar 31, 2023 | 28.36 Bn |
| Dec 31, 2022 | 28.95 Bn |
| Sep 30, 2022 | 29.48 Bn |
| Jun 30, 2022 | 31.32 Bn |
| Mar 31, 2022 | 33.02 Bn |
| Dec 31, 2021 | 34.35 Bn |
| Sep 30, 2021 | 34.93 Bn |
API Access
Viatris Total Liabilities 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=total-liabilities&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();