Universe Pharmaceuticals (UPC) Non-Current Debt (2024 - 2026)
Universe Pharmaceuticals (UPC) reported Non-Current Debt of $3.21 billion for the year ended Sep 30, 2025, down 66.3% from $9.53 billion a year earlier.
Universe Pharmaceuticals (UPC) Non-Current Debt (2024 - 2026) Analysis & Trends
Dating back to the year ended Sep 30, 2019, Universe Pharmaceuticals' Non-Current Debt record includes 7 years.
- Non-Current Debt has a five-year compound annual growth rate of 412.2% (years ended Sep 2020 to Sep 2025).
- The figure for the year ended Sep 30, 2025 ranks as the lowest annual Non-Current Debt since the year ended Sep 30, 2021.
- According to Business Quant data, Non-Current Debt came in at $9.53 billion in the year ended Sep 30, 2024 (+169.5%), $3.54 billion in the year ended Sep 30, 2023 (+6.6%), $3.32 billion in the year ended Sep 30, 2022 and -$911.65 million in the year ended Sep 30, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Universe Pharmaceuticals | 2.19 Mn | -1,525.28 Bn | - | 2,174.54 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2,174.54 Bn |
| Mar 31, 2025 | 2,067.06 Bn |
| Sep 30, 2024 | 2,137.48 Bn |
| Mar 31, 2024 | 2,077.48 Bn |
Universe Pharmaceuticals Non-Current Debt 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-current-debt&ticker=UPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "UPC", "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-current-debt&ticker=UPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();