Universe Pharmaceuticals (UPC) Debt Ratio (2020 - 2026)
Universe Pharmaceuticals' Debt Ratio was 133679.42 in the quarter ended Mar 31, 2026, compared with 0.10 a year earlier.
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Analysis
Universe Pharmaceuticals (UPC) Debt Ratio (2020 - 2026) Analysis & Trends
For the year ended Sep 30, 2025, Debt Ratio at Universe Pharmaceuticals came in at 133.57, down 99.9% from the prior year.
- In earlier years, Debt Ratio was 173600.11 in the year ended Sep 30, 2024, 0.13 in the year ended Sep 30, 2023 (-100.0%), 66110.05 in the year ended Sep 30, 2022 and 0.06 in the year ended Sep 30, 2021 (-32.7%).
- The figure for the quarter ended Mar 31, 2026 marks the highest quarterly Debt Ratio since the quarter ended Sep 30, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Universe Pharmaceuticals | 2.19 Mn | -1,525.28 Bn | - | 133,679.42 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 133,679.42 |
| Sep 30, 2025 | 133.57 |
| Mar 31, 2025 | 0.10 |
| Sep 30, 2024 | 173,600.11 |
| Mar 31, 2024 | 131,686.80 |
| Sep 30, 2023 | 0.13 |
| Mar 31, 2023 | 0.06 |
| Sep 30, 2022 | 66,110.05 |
| Mar 31, 2022 | 0.06 |
| Sep 30, 2021 | 0.06 |
| Mar 31, 2021 | 0.04 |
| Sep 30, 2020 | 0.09 |
API Access
Universe Pharmaceuticals Debt Ratio 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=debt-ratio&ticker=UPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=UPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();