-
1 Comment
Century Global Commodities Corporation is currently in a long term uptrend where the price is trading 46.9% above its 200 day moving average.
From a valuation standpoint, the stock is 99.6% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 2.7.
Century Global Commodities Corporation's total revenue sank by 10.4% to $2M since the same quarter in the previous year.
Its net income has increased by 92.5% to $-73K since the same quarter in the previous year.
Finally, its free cash flow fell by 58.9% to $-1M since the same quarter in the previous year.
Based on the above factors, Century Global Commodities Corporation gets an overall score of 3/5.
CurrencyCode | CAD |
---|---|
Exchange | TO |
ISIN | KYG2029R1065 |
Industry | Food Distribution |
Sector | Consumer Defensive |
Beta | 0.9 |
---|---|
Dividend Yield | 0.0% |
Target Price | None |
PE Ratio | None |
Market Cap | 11M |
Century Global Commodities Corporation, together with its subsidiaries, engages in the exploration and mining of mineral properties in Canada. It primarily explores and develops for iron ores, and precious and base metals. The company's flagship project is the Joyce Lake Property, a direct shipping iron ore project that comprises six mineral licenses, which include a total of 682 claims covering a total area of approximately 17,049 hectares located in Newfoundland and Labrador. It also distributes food products in China, Hong Kong, and Macau. The company is headquartered in Tsim Sha Tsui, Hong Kong..
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CNT.TO 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 2024