-
1 Comment
McPherson's Limited is currently in a long term downtrend where the price is trading 28.6% below its 200 day moving average.
From a valuation standpoint, the stock is 89.7% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 0.7.
McPherson's Limited's total revenue sank by 3.8% to $102M since the same quarter in the previous year.
Its net income has dropped by 79.7% to $1M since the same quarter in the previous year.
Finally, its free cash flow fell by 1.1% to $-796K since the same quarter in the previous year.
Based on the above factors, McPherson's Limited gets an overall score of 1/5.
ISIN | AU000000MCP2 |
---|---|
Industry | Household & Personal Products |
Sector | Consumer Defensive |
CurrencyCode | AUD |
Exchange | AU |
Beta | 0.39 |
---|---|
Market Cap | 86M |
Dividend Yield | 6.9% |
Target Price | 0.79 |
PE Ratio | 29.7 |
McPherson's Limited provides health, wellness, and beauty products in Australia, New Zealand, Asia, and internationally. It offers beauty care, hair care, skin care, and personal care items, including facial wipes, cotton pads, and foot comfort products; and vitamins and supplements, as well as various kitchen essentials, such as baking papers, cling wraps, and aluminium foils. The company sells its products primarily under the owned brands, including Dr. LeWinn's, A'kin, Manicare, Lady Jayne, Swisspers, Multix, Fusion Health, Oriental Botanicals, Moosehead, and Maseur. The company was founded in 1860 and is based in Kingsgrove, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MCP.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 2024