Market research
JCSE JE Cleantech Holdings Ltd
NASDAQ USD Industrials
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 9M
- P/E ratio
- 1.92
- Analyst target
- Not available
- Dividend yield
- 34.%
- Beta
- -0.33
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Industrials
- Industry
- Specialty Industrial Machinery
- ISIN
- KYG508752055
- Market cap
- 9M
- P/E ratio
- 1.92
- Analyst target
- Not available
- Dividend yield
- 34.%
- Beta
- -0.33
About
About JE Cleantech Holdings Ltd
JE Cleantech Holdings Limited, an investment holding company, through its subsidiaries, designs, develops, manufactures, and sells cleaning systems for various industrial end-use applications in Singapore, Malaysia, and internationally. The company provides various cleaning systems and other equipment, including aqueous washing systems, plating and cleaning systems, train cleaning systems, and filtration units, as well as equipment parts and components. It also offers centralized dishwashing and ancillary services, such as food courts, hawker centers, restaurants, cookhouses, eldercare homes, and inflight catering service providers, as well as general cleaning services for food courts and hawker centers. In addition, the company leases dishware washing equipment. The company was founded in 1999 and is headquartered in Singapore. JE Cleantech Holdings Limited operates as a subsidiary of JE Cleantech Global Limited.
Research context
JE Cleantech Holdings Ltd 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 Industrial Machinery
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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