-
1 Comment
Milbon Co., Ltd is currently in a long term downtrend where the price is trading 0.3% below its 200 day moving average.
From a valuation standpoint, the stock is 423.7% more expensive than other stocks from the Consumer Defensive sector with a price to sales ratio of 5.5.
Milbon Co., Ltd's total revenue rose by 9.3% to $11B since the same quarter in the previous year.
Its net income has increased by 32.4% to $1B since the same quarter in the previous year.
Based on the above factors, Milbon Co., Ltd gets an overall score of 2/5.
| Sector | Consumer Defensive |
|---|---|
| Industry | Household & Personal Products |
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3910650005 |
| Target Price | 2980 |
|---|---|
| Dividend Yield | 3.3% |
| Beta | 0.1 |
| Market Cap | 85B |
| PE Ratio | 25.25 |
Milbon Co., Ltd. manufactures and sells cosmetic products in Japan and internationally. The company offers shampoo, hair treatment, hair tonic and cream, liquid and foam hairdressing products, set lotions, and hair spray products; hair coloring products, such as oxidative and acid hair dyes, and hair bleaches; and permanent wave products, including thioglycolic acid-based and cysteine-based permanent wave products, as well as hair straightening products. It also provides skincare and make-up cosmetics, as well as health food, beauty equipment, etc. The company offers its products under the MILBON, Elujuda, ORDEVE, and iMPREA brands. The company was incorporated in 1960 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 4919.TSE 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 2026