-
1 Comment
TEE International Limited is currently in a long term downtrend where the price is trading 3.5% below its 200 day moving average.
From a valuation standpoint, the stock is 94.1% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.1.
TEE International Limited's total revenue sank by 52.4% to $46M since the same quarter in the previous year.
Its net income has increased by 101.5% to $547K since the same quarter in the previous year.
Finally, its free cash flow fell by 46.1% to $8M since the same quarter in the previous year.
Based on the above factors, TEE International Limited gets an overall score of 2/5.
ISIN | SG2C64965297 |
---|---|
Sector | Industrials |
Industry | Engineering & Construction |
Exchange | SG |
CurrencyCode | SGD |
Target Price | 0.24 |
---|---|
Beta | 0.88 |
Market Cap | 21M |
PE Ratio | None |
Dividend Yield | None |
TEE International Limited, an investment holding company, engages in the infrastructure business in Singapore, Thailand, and the Philippines. The company offers infrastructure solutions in the areas of water and energy related projects; industrial and commercial waste management solutions, including on-site and off-site waste management comprising the collection and transport of waste, and the processing of recyclables like paper and plastics; top-of-the-line equipment; and disinfection services for hotels, retail, and commercial premises; and commercial and industrial real estate management services. It also operates and rents industrial buildings. The company was founded in 1980 and is based in Singapore. TEE International Limited is a subsidiary of Tramore Global Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for M1Z.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