Market research
SPPL SIMPPLE LTD. Ordinary Shares
NASDAQ USD Industrials
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 18M
- P/E ratio
- Not available
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- 4.22
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Industrials
- Industry
- Specialty Industrial Machinery
- ISIN
- KYG8192U1159
- Market cap
- 18M
- P/E ratio
- Not available
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- 4.22
About
About SIMPPLE LTD. Ordinary Shares
Simpple Ltd. provides facilities management software in Singapore. The company offers SIMPPLE software, a platform comprising modules related to quality management, workflow management, and people management; SIMPPLE PLUS, a robotic solution in cleaning and security domains, and IoT devices and peripherals; SIMPPLE.AI, a facilities management autonomic intelligence engine that automates workflow processes in a built environment setting; and consultancy services to assist in delivering solutions in a built environment. It serves property developers or building owners, facilities management companies, and service contractors, such as environmental services companies, security agencies, horticulture, and maintenance companies. The company was founded in 2016 and is headquartered in Singapore. Simpple Ltd. operates as a subsidiary of Ifsc Founders Pte. Ltd.
Research context
SIMPPLE LTD. 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 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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