Market research
SMX SMX (Security Matters) Public Limited Company Class A Ordinary Shares
NASDAQ USD Industrials
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 2M
- P/E ratio
- 0.0
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- -4.23
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Industrials
- Industry
- Specialty Business Services
- ISIN
- IE000WZ90ZV5
- Market cap
- 2M
- P/E ratio
- 0.0
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- -4.23
About
About SMX (Security Matters) Public Limited Company Class A Ordinary Shares
SMX (Security Matters) Public Limited Company provides brand protection, authentication and track and trace technology for the anti-counterfeit market. Its proprietary marker system embeds a permanent or removable mark on solid, liquid, or gaseous objects or materials. The company's solutions include physical or chemical marker system coupled with a reader and connected to a blockchain digital platform for application in process tracing, authentication, and sustainability and circular economics industries. It serves brand owners, manufacturers, and suppliers. The company was formerly known as Empatan Public Limited Company and changed its name to SMX (Security Matters) Public Limited Company in February 2023. The company is based in Dublin, Ireland.
Research context
SMX (Security Matters) Public Limited Company Class A 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
- Industrials
- Industry
- Specialty Business Services
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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