Market research
TNYA Tenaya Therapeutics Inc
NASDAQ USD Healthcare
Latest close
As of 29 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 85M
- P/E ratio
- Not available
- Analyst target
- 3.2
- Dividend yield
- Not available
- Beta
- 2.88
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Healthcare
- Industry
- Biotechnology
- ISIN
- Not available
- Market cap
- 85M
- P/E ratio
- Not available
- Analyst target
- 3.2
- Dividend yield
- Not available
- Beta
- 2.88
About
About Tenaya Therapeutics Inc
Tenaya Therapeutics, Inc., a clinical-stage biotechnology company, discovers, develops, and delivers therapies for heart disease in the United States. Its lead product candidate includes TN-201, a gene therapy for myosin binding protein C3-associated hypertrophic cardiomyopathy that is in Phase 1b/2 clinical trial; TN-401, a gene therapy for plakophilin 2-associated arrhythmogenic right ventricular cardiomyopathy, which is in Phase 1b/2 clinical trial; and TN-301, a small molecule histone deacetylase-6 for heart failure with preserved ejection fraction that is in phase 1 clinical trial. The company develops its products through gene addition, gene editing, gene silencing, and cellular regeneration. It has a research collaboration agreement with Alnylam Pharmaceuticals, Inc. to identify and validate novel gene targets for the potential treatment of cardiovascular disease. Tenaya Therapeutics, Inc. was incorporated in 2016 and is headquartered in South San Francisco, California.
Research context
Tenaya Therapeutics 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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