Viatris (VTRS) Long-Term Debt Issuances (2019 - 2023)
Viatris (VTRS) recorded Long-Term Debt Issuances of $300,000 in Q4 2023, up 200.0% from $100,000 a year earlier.
Analysis
Viatris (VTRS) Long-Term Debt Issuances (2019 - 2023) Analysis & Trends
Starting with Q4 2019, Viatris' Long-Term Debt Issuances history includes 11 quarters.
- Annual Long-Term Debt Issuances has a five-year compound annual growth rate of -83.7% (FY2018 to FY2023).
- Across earlier years, Long-Term Debt Issuances came in at $1.88 billion in FY2022 (+9.7%), $1.71 billion in FY2021 (+73.9%), $983.3 million in FY2020 and $7.4 million in FY2019 (-99.7%).
- The Q4 2023 figure is the highest quarterly Long-Term Debt Issuances since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.69 Bn | 1,140.28 Bn | 19.71 Bn | 8.94 Bn |
| 2 | Johnson & Johnson | 649.22 Bn | 569.08 Bn | 17.30 Bn | - |
| 3 | AbbVie | 504.17 Bn | 477.29 Bn | 12.70 Bn | - |
| 4 | Merck | 366.35 Bn | 320.73 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 303.54 Bn | 267.53 Bn | 11.24 Bn | 1.98 Bn |
| 6 | Astrazeneca | 269.49 Bn | 243.18 Bn | 12.86 Bn | - |
| 7 | Amgen | 242.61 Bn | 198.01 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 195.09 Bn | 169.29 Bn | 6.22 Bn | - |
| 9 | Pfizer | 172.48 Bn | 119.12 Bn | 10.94 Bn | - |
| 10 | Viatris | 21.56 Bn | 16.57 Bn | 1.46 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 300,000.00 |
| Dec 31, 2022 | 100,000.00 |
| Sep 30, 2022 | 1.08 Bn |
| Jun 30, 2022 | 795.30 Mn |
| Mar 31, 2022 | 100,000.00 |
| Sep 30, 2021 | 810.00 Mn |
| Jun 30, 2021 | 900.10 Mn |
| Dec 31, 2020 | 950.10 Mn |
| Mar 31, 2020 | 33.10 Mn |
| Dec 31, 2019 | 7.40 Mn |
API Access
Viatris Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=VTRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();