Oragenics (OGEN) Total Liabilities (2010 - 2026)
Oragenics (OGEN) reported Total Liabilities of $1.82 million for Q2 2026, down 57.3% from $4.27 million a year earlier but up 39.3% from the prior quarter.
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Analysis
Oragenics (OGEN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Oragenics posted Total Liabilities of $1.79 million, up 6.1% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $1.68 million in FY2024 (-6.3%), $1.8 million in FY2023 (+2.8%), $1.75 million in FY2022 (+0.2%) and $1.74 million in FY2021 (-5.0%).
- Five-year quarterly Total Liabilities spans a low of $908,685 in Q1 2024 and a high of $4.27 million in Q2 2025.
- Year over year, Total Liabilities gained in five of the last eight quarters, with growth averaging 60.4%.
- The high point for year-over-year Total Liabilities in five years was Q1 2025 (growth of 310.6%); the low point was Q1 2026 (a decline of 64.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.31 million (Q1 2026), $1.79 million (Q4 2025) and $2.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Oragenics | 1.59 Mn | -28.19 Mn | - | 1.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.82 Mn |
| Mar 31, 2026 | 1.31 Mn |
| Dec 31, 2025 | 1.79 Mn |
| Sep 30, 2025 | 2.87 Mn |
| Jun 30, 2025 | 4.27 Mn |
| Mar 31, 2025 | 3.73 Mn |
| Dec 31, 2024 | 1.68 Mn |
| Sep 30, 2024 | 2.13 Mn |
| Jun 30, 2024 | 1.38 Mn |
| Mar 31, 2024 | 908,685.00 |
| Dec 31, 2023 | 1.80 Mn |
| Sep 30, 2023 | 1.40 Mn |
| Jun 30, 2023 | 1.21 Mn |
| Mar 31, 2023 | 1.89 Mn |
| Dec 31, 2022 | 1.75 Mn |
| Sep 30, 2022 | 1.78 Mn |
| Jun 30, 2022 | 1.68 Mn |
| Mar 31, 2022 | 2.01 Mn |
| Dec 31, 2021 | 1.74 Mn |
| Sep 30, 2021 | 2.54 Mn |
API Access
Oragenics Total Liabilities 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=total-liabilities&ticker=OGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OGEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=OGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();