Market research
GAUZ Gauzy Ltd. Ordinary Shares
NASDAQ USD Technology
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 7M
- P/E ratio
- Not available
- Analyst target
- 10
- Dividend yield
- Not available
- Beta
- -0.17
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Technology
- Industry
- Electronic Components
- ISIN
- IL0012050121
- Market cap
- 7M
- P/E ratio
- Not available
- Analyst target
- 10
- Dividend yield
- Not available
- Beta
- -0.17
About
About Gauzy Ltd. Ordinary Shares
Gauzy Ltd., an integrated light and vision control company, develops, manufactures, and supplies vision and light control technologies in Israel, the United States, France, rest of Europe, Asia, and internationally. It operates through four segments: Architecture, Automotive, Safety tech, and Aeronautics. The company offers suspended particle device, liquid crystal, and films for smart glass applications, as well as camera monitoring systems, and other AI-powered advanced driver assistance system solutions. It also provides glass rooftops, side windows and windshields for commercial; retail, residential, healthcare, and hospitality application; camera and motion sensor systems, smart mirrors, and safety doors for buses, coaches, recreational vehicles, and specific vehicles; and shading and cabin management systems for private and commercial aircraft and helicopters. The company was incorporated in 2009 and is based in Tel Aviv-Yafo, Israel.
Research context
Gauzy Ltd. Ordinary Shares 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
- Technology
- Industry
- Electronic Components
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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