Oragenics (OGEN) Price to Book (2012 - 2026)
Oragenics' (OGEN) Price to Book stood at 0.71 in Q2 2026, up 79.9% from the prior quarter.
Analysis
Oragenics (OGEN) Price to Book (2012 - 2026) Analysis & Trends
For FY2025, Oragenics' Price to Book came in at 0.20.
- Across earlier years, Price to Book came in at 4.00 in FY2023 (+289.2%), 1.03 in FY2022 (-99.1%) and 118.64 in FY2021 (+30.9%).
- The Q2 2026 figure is the highest quarterly Price to Book since Q1 2025.
- Peak year-over-year performance for Price to Book in the last five years was growth of 289.2% in Q4 2023, against a decline of 99.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 0.40 (Q1 2026), 0.20 (Q4 2025) and 0.21 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Oragenics | 2.21 Mn | 2.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.71 |
| Mar 31, 2026 | 0.40 |
| Dec 31, 2025 | 0.20 |
| Sep 30, 2025 | 0.21 |
| Mar 31, 2025 | 32.75 |
| Sep 30, 2024 | 0.81 |
| Jun 30, 2024 | 3.55 |
| Mar 31, 2024 | 1.92 |
| Dec 31, 2023 | 4.00 |
| Sep 30, 2023 | 1.17 |
| Jun 30, 2023 | 0.92 |
| Mar 31, 2023 | 0.65 |
| Dec 31, 2022 | 1.03 |
| Sep 30, 2022 | 105.98 |
| Jun 30, 2022 | 130.87 |
| Mar 31, 2022 | 107.99 |
| Dec 31, 2021 | 118.64 |
| Sep 30, 2021 | 154.11 |
| Jun 30, 2021 | 151.20 |
| Mar 31, 2021 | 175.12 |
API Access
Oragenics Price to Book 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=price-to-book&ticker=OGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=OGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();