-
1 Comment
New World Resources Limited is currently in a long term uptrend where the price is trading 25.9% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 0.0.
New World Resources Limited's total revenue sank by 43.3% to $680 since the same quarter in the previous year.
Its net income has dropped by 26.8% to $-1M since the same quarter in the previous year.
Finally, its free cash flow fell by 35.0% to $-2M since the same quarter in the previous year.
Based on the above factors, New World Resources Limited gets an overall score of 2/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
ISIN | AU0000006934 |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
Beta | 2.42 |
---|---|
Market Cap | 166M |
PE Ratio | None |
Target Price | 0.07 |
Dividend Yield | None |
New World Resources Limited engages in the exploration and development of mineral properties in North America. The company explores for copper, zinc, silver, gold, and lead deposits. It holds 100% interest in the Antler copper project situated near the east of Yucca in northwestern Arizona; the Javelin VMS project covering approximately 4,000 acres located near Antler project in Arizona; and the Tererro copper-gold-zinc VMS project located near north-east of the city of Albuquerque in northern New Mexico. The company was formerly known as New World Cobalt Limited and changed its name to New World Resources Limited in December 2019. New World Resources Limited was incorporated in 2004 and is based in Sydney, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for NWC.AU 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