-
Exchange | SG |
---|---|
CurrencyCode | SGD |
ISIN | None |
Sector | Industrials |
Industry | Staffing & Employment Services |
Dividend Yield | 2.3% |
---|---|
Beta | nan |
Target Price | None |
PE Ratio | 17.3 |
Market Cap | 32M |
Sheffield Green Ltd., together with its subsidiaries, provides human resource services in Singapore, Taiwan, Japan, Poland and South Korea. It operates through Provision of Human Resource and Ancillary Service segments. The company offers sourcing and training of workers to provision of equipment kits, such as personal protective equipment as may be required for personnel to work on-site, and mobilisation of workers, as well as funding of payroll administration. It also provides ancillary services related to the provision of personnel, which include primarily visa and work permit applications, training, and deployment logistics. In addition, the company offers permanent solutions; contract solutions, including employment contract administration, payroll services, medical, injury and liability insurance, personnel tax filing, administrative and operational arrangements, and manage and facilitate onsite communications services; global mobility solutions; and training services. It serves renewable energy industry, including independent power producers; developers; engineering, procurement, construction, and installation contractors; transportation and installation contractors; wind turbine manufacturers; and offshore wind foundation manufacturers. The company was founded in 2000 and is headquartered in Singapore. Sheffield Green Ltd. operates as a subsidiary of Sheffield Energies Pte. Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SGR.SG using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025