Viatris (VTRS) Total Non-Current Liabilities (2019 - 2026)
Viatris (VTRS) recorded Total Non-Current Liabilities of $18.76 billion in Q2 2026, down 10.7% from $21.01 billion a year earlier and down 6.6% from the prior quarter.
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Analysis
Viatris (VTRS) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Viatris reported Total Non-Current Liabilities of $20.47 billion, down 2.2% from FY2024.
- Annual Total Non-Current Liabilities has declined for three straight years, though with a five-year compound annual growth rate of 547.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $20.93 billion in FY2024 (-18.6%), $25.7 billion in FY2023 (-5.5%) and $27.19 billion in FY2022.
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 14 consecutive quarters, with an average decline of 10.9% over the last eight quarters.
- The year-over-year decline in Total Non-Current Liabilities has ranged between 2.2% (Q4 2025) and 18.6% (Q4 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $20.09 billion (Q1 2026), $20.47 billion (Q4 2025) and $20.88 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Viatris | 20.35 Bn | 15.36 Bn | 1.46 Bn | 18.76 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.76 Bn |
| Mar 31, 2026 | 20.09 Bn |
| Dec 31, 2025 | 20.47 Bn |
| Sep 30, 2025 | 20.88 Bn |
| Jun 30, 2025 | 21.01 Bn |
| Mar 31, 2025 | 20.98 Bn |
| Dec 31, 2024 | 20.93 Bn |
| Sep 30, 2024 | 23.09 Bn |
| Jun 30, 2024 | 24.01 Bn |
| Mar 31, 2024 | 25.50 Bn |
| Dec 31, 2023 | 25.70 Bn |
| Sep 30, 2023 | 26.23 Bn |
| Jun 30, 2023 | 26.18 Bn |
| Mar 31, 2023 | 26.64 Bn |
| Dec 31, 2022 | 27.19 Bn |
| Sep 30, 2022 | 27.74 Bn |
| Jun 30, 2022 | 29.51 Bn |
| Mar 31, 2022 | 31.13 Bn |
| Sep 30, 2021 | 32.88 Bn |
| Jun 30, 2021 | 34.54 Bn |
API Access
Viatris Total Non-Current 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-non-current-liabilities&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();