Universe Pharmaceuticals (UPC) Retained Earnings (2020 - 2026)
Universe Pharmaceuticals (UPC) posted Retained Earnings of -$15.4 trillion for the quarter ended Mar 31, 2026, compared with -$13.46 trillion a year earlier.
Universe Pharmaceuticals (UPC) Retained Earnings (2020 - 2026) Analysis & Trends
As of Sep 30, 2025, Universe Pharmaceuticals' Retained Earnings came in at -$13.84 trillion.
- In prior years, Universe Pharmaceuticals' Retained Earnings was -$7.73 million in the year ended Sep 30, 2024, -$1.44 trillion in the year ended Sep 30, 2023, $16.32 trillion in the year ended Sep 30, 2022 and $25.06 million in the year ended Sep 30, 2021 (-100.0%).
- The figure for the quarter ended Mar 31, 2026 stands as the lowest quarterly Retained Earnings in data going back to the quarter ended Sep 30, 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 31.89 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 171.67 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | -17.33 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 63.27 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 12.59 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | -22.28 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 2.20 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 112.09 Bn |
| 10 | Universe Pharmaceuticals | 54.84 Mn | -1.46 Bn | - | -15.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -15.40 Mn |
| Sep 30, 2025 | -13.84 Mn |
| Mar 31, 2025 | -13,456.32 Bn |
| Sep 30, 2024 | -10.17 Bn |
| Mar 31, 2024 | -2.94 Mn |
| Sep 30, 2023 | -1.44 Mn |
| Mar 31, 2023 | 15.61 Mn |
| Sep 30, 2022 | 16.32 Mn |
| Mar 31, 2022 | 26.79 Mn |
| Sep 30, 2021 | 25.06 Mn |
| Mar 31, 2021 | 20.89 Mn |
| Sep 30, 2020 | 13,738.98 Bn |
Universe Pharmaceuticals Retained Earnings 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=retained-earnings&ticker=UPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=UPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();