Market research
GNLX Genelux Corporation Common Stock
NASDAQ USD Healthcare
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 95M
- P/E ratio
- Not available
- Analyst target
- 18.8333
- Dividend yield
- Not available
- Beta
- 0.58
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Healthcare
- Industry
- Biotechnology
- ISIN
- Not available
- Market cap
- 95M
- P/E ratio
- Not available
- Analyst target
- 18.8333
- Dividend yield
- Not available
- Beta
- 0.58
About
About Genelux Corporation Common Stock
Genelux Corporation, a clinical-stage biopharmaceutical company, focuses on developing oncolytic viral immunotherapies for patients suffering from aggressive and/or difficult-to-treat solid tumor types. Its lead product candidate is Olvi-Vec (olvimulogene nanivacirepvec), a proprietary modified strain of the vaccinia virus indicated for the treatment of ovarian cancer. It also offers CHOICE, a technology and discovery and development platform; and developed an extensive library of isolated and engineered oncolytic VACV immunotherapeutic product candidates. The company has a licensing agreement with Newsoara BioPharma Co. Ltd. to research, develop, commercialize or exploit Olvi-Vec in China, including Mainland China, Taiwan, Hong Kong, and Macau, for human diagnostic, prophylactic, and therapeutic uses. Genelux Corporation was incorporated in 2001 and is headquartered in Westlake Village, California.
Research context
Genelux Corporation Common Stock 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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