Market research
REVB Revelation Biosciences Inc
NASDAQ USD Healthcare
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 2M
- P/E ratio
- 0.11
- Analyst target
- 124.25
- Dividend yield
- Not available
- Beta
- -0.06
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Healthcare
- Industry
- Biotechnology
- ISIN
- Not available
- Market cap
- 2M
- P/E ratio
- 0.11
- Analyst target
- 124.25
- Dividend yield
- Not available
- Beta
- -0.06
About
About Revelation Biosciences Inc
Revelation Biosciences, Inc. operates as a clinical-stage life science company that focuses on the rebalancing inflammation to optimize health. The company's lead product candidate is lead product candidate Gemini, a proprietary formulation platform of phosphorylated hexaacyl disaccharide (PHAD), an established Toll-like receptor 4 (TLR) agonist that works by modulating and rebalancing a dysregulated inflammatory response. It also engages in the prevention and treatment of disease by developing and commercializing therapeutics that modulate the innate immune system, including GEM-AKI, a potential therapy for the prevention and treatment of acute kidney injury; and GEM-CKD, a potential therapy for the prevention and treatment of chronic kidney disease. The company was formerly known as Petra Acquisition, Inc. and changed its name to Revelation Biosciences, Inc. in January 2022. Revelation Biosciences, Inc. was incorporated in 2019 and is based in San Diego, California.
Research context
Revelation Biosciences Inc appears in PyInvesting’s US Stock catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.
- Currency
- USD
- Sector
- Healthcare
- Industry
- Biotechnology
These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.
Review backtest assumptions and evidence before treating a chart or stored history as a research result.
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