Oragenics (OGEN) Operating Expenses (2010 - 2026)
Oragenics (OGEN) reported Operating Expenses of $2.59 million for Q2 2026, up 51.2% from $1.71 million a year earlier and up 14.9% from the prior quarter.
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Analysis
Oragenics (OGEN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oragenics' Operating Expenses came in at $10.47 million, up 9.8% year-over-year; for FY2025, it came in at $9.36 million, down 11.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -18.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $10.56 million in FY2024 (-49.6%), $20.94 million in FY2023 (+43.9%), $14.55 million in FY2022 (-8.2%) and $15.86 million in FY2021 (-40.5%).
- Five-year quarterly Operating Expenses spans a low of $1.71 million in Q2 2025 and a high of $12.8 million in Q4 2023.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 4.5%.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 456.6%); the low point was Q4 2024 (a decline of 73.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.26 million (Q1 2026), $2.5 million (Q4 2025) and $3.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Oragenics | 2.12 Mn | 2.12 Mn | - | 2.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.59 Mn |
| Mar 31, 2026 | 2.26 Mn |
| Dec 31, 2025 | 2.50 Mn |
| Sep 30, 2025 | 3.12 Mn |
| Jun 30, 2025 | 1.71 Mn |
| Mar 31, 2025 | 2.03 Mn |
| Dec 31, 2024 | 3.36 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 2.31 Mn |
| Mar 31, 2024 | 2.46 Mn |
| Dec 31, 2023 | 12.80 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 3.12 Mn |
| Mar 31, 2023 | 2.92 Mn |
| Dec 31, 2022 | 2.30 Mn |
| Sep 30, 2022 | 3.99 Mn |
| Jun 30, 2022 | 3.63 Mn |
| Mar 31, 2022 | 4.63 Mn |
| Dec 31, 2021 | 2.39 Mn |
| Sep 30, 2021 | 4.39 Mn |
API Access
Oragenics Operating 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=operating-expenses&ticker=OGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=OGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();