Market research
PLUT Plutus Financial Group Limited Ordinary Shares
NASDAQ USD Financial Services
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 26M
- P/E ratio
- Not available
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- Not available
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Financial Services
- Industry
- Capital Markets
- ISIN
- KYG7144S1030
- Market cap
- 26M
- P/E ratio
- Not available
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- Not available
About
About Plutus Financial Group Limited Ordinary Shares
Plutus Financial Group Limited, through its subsidiaries, provides financial services in Hong Kong. It operates through three segments: Securities Related Services; Asset Management Services; and Money Lending services. The company offers securities dealing and brokerage, margin financing, and underwriting and placing services. It also provides asset management; investment advisory services; trading through the internet, mobile app, and customer phone hotline services; clearing and settlement procedures services; and securities custody and nominee services. The company serves listed companies and initial public offering listing applicants, as well as private companies, high net worth individuals, and retails individuals. The company was founded in 2018 and is based in Wan Chai, Hong Kong.
Research context
Plutus Financial Group 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
- Financial Services
- Industry
- Capital Markets
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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