Viatris (VTRS) Non Operating Interest Expenses (2020 - 2026)
Viatris' Non Operating Interest Expenses came in at $120.7 million for Q2 2026, up 3.5% from $116.6 million a year earlier and up 0.5% from the prior quarter.
Powered by 
Analysis
Viatris (VTRS) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Viatris reported Non Operating Interest Expenses of $480 million, down 3.6% year-over-year; for FY2025, it was $471.3 million, down 14.3% from FY2024.
- Non Operating Interest Expenses has declined in each of the last four years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $550 million in FY2024 (-4.0%), $573.1 million in FY2023 (-3.3%), $592.4 million in FY2022 (-6.9%) and $636.2 million in FY2021 (+27.8%).
- The Q2 2026 figure represents the highest quarterly Non Operating Interest Expenses since Q3 2024.
- Year-over-year, Non Operating Interest Expenses increased in three of the last eight quarters, with an average decline of 7.4%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2026 (growth of 4.0%), and the weakest in Q2 2025 (a decline of 20.0%).
- Business Quant data shows VTRS's Non Operating Interest Expenses at $120.1 million (Q1 2026), $119.6 million (Q4 2025) and $119.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Viatris | 23.90 Bn | 17.07 Bn | 1.44 Bn | 112.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 112.40 Mn |
| Jun 30, 2026 | 120.70 Mn |
| Mar 31, 2026 | 120.10 Mn |
| Dec 31, 2025 | 119.60 Mn |
| Sep 30, 2025 | 119.60 Mn |
| Jun 30, 2025 | 116.60 Mn |
| Mar 31, 2025 | 115.50 Mn |
| Dec 31, 2024 | 120.20 Mn |
| Sep 30, 2024 | 145.60 Mn |
| Jun 30, 2024 | 145.80 Mn |
| Mar 31, 2024 | 138.40 Mn |
| Dec 31, 2023 | 140.90 Mn |
| Sep 30, 2023 | 141.50 Mn |
| Jun 30, 2023 | 143.70 Mn |
| Mar 31, 2023 | 147.00 Mn |
| Dec 31, 2022 | 147.10 Mn |
| Sep 30, 2022 | 153.20 Mn |
| Jun 30, 2022 | 145.90 Mn |
| Mar 31, 2022 | 146.20 Mn |
| Dec 31, 2021 | 148.20 Mn |
API Access
Viatris Non Operating Interest 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=non-operating-interest-expenses&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();