Oragenics (OGEN) Accumulated Expenses (2011 - 2024)
Oragenics (OGEN) posted Accumulated Expenses of $202,834 for Q4 2024, down 8.9% from $222,739 a year earlier but up 208.9% from the prior quarter.
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Analysis
Oragenics (OGEN) Accumulated Expenses (2011 - 2024) Analysis & Trends
Since Q4 2022, Oragenics has reported Accumulated Expenses for 9 quarters.
- In prior years, Oragenics' Accumulated Expenses was $222,739 in FY2023 (-72.6%) and $812,861 in FY2022.
- Quarterly Accumulated Expenses has run from a low of $45,276 in Q3 2023 to a high of $812,861 in Q4 2022 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last five quarters, with an average decline of 33.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $65,657 (Q3 2024), $180,955 (Q2 2024) and $68,765 (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Oragenics | 1.58 Mn | -28.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 202,834.00 |
| Sep 30, 2024 | 65,657.00 |
| Jun 30, 2024 | 180,955.00 |
| Mar 31, 2024 | 68,765.00 |
| Dec 31, 2023 | 222,739.00 |
| Sep 30, 2023 | 45,276.00 |
| Jun 30, 2023 | 334,441.00 |
| Mar 31, 2023 | 488,372.00 |
| Dec 31, 2022 | 812,861.00 |
| Dec 31, 2011 | 356,689.00 |
API Access
Oragenics Accumulated Expenses 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=accumulated-expenses&ticker=OGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=OGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();