-
1 Comment
Hylands International Holdings Inc is currently in a long term downtrend where the price is trading 8.5% below 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.
Hylands International Holdings Inc's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has increased by 94.7% to $-14K since the same quarter in the previous year.
Finally, its free cash flow fell by 9469.4% to $-187K since the same quarter in the previous year.
Based on the above factors, Hylands International Holdings Inc gets an overall score of 2/5.
Exchange | V |
---|---|
CurrencyCode | CAD |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
ISIN | CA44909A1075 |
Market Cap | 751K |
---|---|
Dividend Yield | 0.0% |
Beta | 1.58 |
PE Ratio | 0.0 |
Target Price | None |
Hylands International Holdings Inc. engages in the exploration, evaluation, and development of mineral property interests in the People's Republic of China. The company explores for nickel, cobalt, and magnesium deposits. It holds interest in the Suyeke North property that comprises one exploration permit totalling 7.42 square kilometres located in Suyeke, Xinjiang Province. The company was formerly known as New Era Minerals Inc. and changed its name to Hylands International Holdings Inc. in June 2020. Hylands International Holdings Inc. was incorporated in 2007 and is headquartered in Toronto, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for HIH.V 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