Market research
SAGT SAGTEC GLOBAL LIMITED Ordinary shares
NASDAQ USD Technology
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 10M
- P/E ratio
- Not available
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- Not available
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Technology
- Industry
- Software - Application
- ISIN
- VGG7779D1087
- Market cap
- 10M
- P/E ratio
- Not available
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- Not available
About
About SAGTEC GLOBAL LIMITED Ordinary shares
Sagtec Global Limited, together with its subsidiaries, engages in the provision of customizable software solutions in Malaysia. It operates through SAAS Business, Software Customization, Data Analysis and Hosting Services, Outright Purchase, and Other segments. The company offers Speed+, an intelligent platform for digital ordering and transaction management; and develops bespoke software solutions for table ordering, QR ordering, and self-service kiosk systems. It also provides subscription services, software consultation and development services, social media management, data management, and analysis services and sales of food ordering kiosks with screens; power-bank charging stations; and food and beverage software and server hosting services. Sagtec Global Limited was founded in 2018 and is based in Kuala Lumpur, Malaysia.
Research context
SAGTEC GLOBAL LIMITED 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
- Software - Application
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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