Market research
KYTX Kyverna Therapeutics, Inc. Common Stock
NASDAQ USD Healthcare
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 351M
- P/E ratio
- Not available
- Analyst target
- 30.4
- Dividend yield
- Not available
- Beta
- 2.06
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Healthcare
- Industry
- Biotechnology
- ISIN
- Not available
- Market cap
- 351M
- P/E ratio
- Not available
- Analyst target
- 30.4
- Dividend yield
- Not available
- Beta
- 2.06
About
About Kyverna Therapeutics, Inc. Common Stock
Kyverna Therapeutics, Inc., a late-stage biopharmaceutical company, focuses on developing cell therapies for patients with autoimmune diseases. Its lead product candidate is KYV-101, an autologous CD19 CAR T-cell product candidate for the treatment of stiff person syndrome, myasthenia gravis, and autoimmune diseases. The company is also developing KYV-102, an autologous CD19 CAR T-cell product candidate with whole blood rapid manufacturing; and KYV-201, an allogeneic CD19 CAR T-cell product candidate. It has a license and collaboration agreement with Intellia Therapeutics, Inc. to research and develop an allogeneic CD19-directed CAR cell therapy product. The company was formerly known as BAIT Therapeutics, Inc. and changed its name to Kyverna Therapeutics, Inc. in October 2019. Kyverna Therapeutics, Inc. was incorporated in 2018 and is headquartered in Emeryville, California.
Research context
Kyverna Therapeutics, Inc. 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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