-
1 Comment
NSL Ltd is currently in a long term uptrend where the price is trading 4.7% above its 200 day moving average.
From a valuation standpoint, the stock is 83.9% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 1.3.
NSL Ltd's total revenue rose by 213.3% to $247M since the same quarter in the previous year.
Its net income has increased by 38.3% to $-17M since the same quarter in the previous year.
Finally, its free cash flow grew by 159.9% to $8M since the same quarter in the previous year.
Based on the above factors, NSL Ltd gets an overall score of 5/5.
Exchange | SG |
---|---|
CurrencyCode | SGD |
ISIN | SG1F87001375 |
Sector | Basic Materials |
Industry | Building Materials |
PE Ratio | 12.33 |
---|---|
Target Price | None |
Dividend Yield | 2.7% |
Market Cap | 276M |
Beta | 0.19 |
NSL Ltd, an investment holding company, engages in the manufacture and sale of building materials in Singapore, Malaysia, the United Arab Emirates, Finland, Norway, Germany, and internationally. It operates through three divisions: Precast & Prefabricated Bathroom Unit, Environmental Services, and Chemicals. The company offers precast concrete components and prefabricated bathroom units; manufactures and sells of refractory materials and roadstone products; trades in oil products; treats industrial wastewater and oily slop, and recovers waste oil and oily slop; and provides oil and chemical waste disposal services, as well as owns and manages Raffles Marina Club. The company was incorporated in 1961 and is headquartered in Singapore. As of October 1, 2024, NSL Ltd operates as a subsidiary of YTL Cement Bhd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for N02.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