Market research
DGNX Diginex Limited Ordinary Shares
NASDAQ USD Industrials
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 59M
- P/E ratio
- Not available
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- Not available
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Industrials
- Industry
- Consulting Services
- ISIN
- KYG286871127
- Market cap
- 59M
- P/E ratio
- Not available
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- Not available
About
About Diginex Limited Ordinary Shares
Diginex Limited, an investment holding company, engages in the provision of environmental, social, and governance (ESG) reporting solution services in the Asia-Pacific, Europe, North America, the Middle Eas,t and Africa. Its suite of products include diginexESG, a end to end reporting platform that offers topic discovery, data collection, and collaborative report publishing services; diginexLUMEN, a software solution to aid democratizing supply chain risk assessment and monitoring; diginexAPPRISE provides companies with reliable insights for their risk assessment; diginexADVISORY offers bespoke solutions for clients and revenues; and diginexPARTNERS that develops white label versions of diginexESG and diginexLUMEN. Diginex Limited was founded in 2020 and is headquartered in London, United Kingdom.
Research context
Diginex 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
- Industrials
- Industry
- Consulting 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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