Viatris (VTRS) Interest Expenses (2020 - 2026)
Viatris' Interest Expenses was $120.7 million in Q2 2026, up 3.5% from $116.6 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Viatris (VTRS) Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Viatris' Interest Expenses was $480 million through Jun 30, 2026, down 3.6% year-over-year; for FY2025, it came in at $471.3 million, down 14.3% from FY2024.
- Interest Expenses has now declined for four consecutive years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- In earlier years, 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 marks the highest quarterly Interest Expenses since Q3 2024.
- Compared with a year earlier, Interest Expenses was higher in three of the last eight quarters, with an average decline of 7.4%.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2026 (growth of 4.0%); the worst was Q2 2025 (a decline of 20.0%).
- Per Business Quant data, VTRS's Interest Expenses in the three quarters before Q2 2026 was $120.1 million (Q1 2026), $119.6 million (Q4 2025) and $119.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Viatris | 21.50 Bn | 16.52 Bn | 1.46 Bn | 120.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 151.90 Mn |
API Access
Viatris 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=interest-expenses&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();