-
1 Comment
Mandom Corporation is currently in a long term uptrend where the price is trading 6.5% above its 200 day moving average.
From a valuation standpoint, the stock is 33.3% more expensive than other stocks from the Consumer Defensive sector with a price to sales ratio of 1.4.
Mandom Corporation's total revenue sank by 21.3% to $14B since the same quarter in the previous year.
Its net income has dropped by 78.0% to $180M since the same quarter in the previous year.
Finally, its free cash flow grew by 55.5% to $-220M since the same quarter in the previous year.
Based on the above factors, Mandom Corporation gets an overall score of 2/5.
Sector | Consumer Defensive |
---|---|
Industry | Household & Personal Products |
Exchange | TSE |
CurrencyCode | JPY |
ISIN | JP3879400004 |
Target Price | 1448 |
---|---|
Dividend Yield | 1.7% |
Beta | 0.15 |
Market Cap | 103B |
PE Ratio | 55.34 |
Mandom Corporation engages in the manufacturing and sales of cosmetics and perfumes in Japan, Indonesia, and internationally. The company offers body fragrance, hair styling, hair care and hair coloring, face, and makeup products for men's and women's. It sells its products under the aono, Baby Veil, Barrier Repair, Bifesta, CYQ, GATSBY, GB, Happy Deo, HOLIDEA, ium, Levata, LUCIDO, LUCIDO-L, M4, MANDOM, Simplity, SLEPIA, T/ME U, TANCHO, ZFACE brand names. In addition, the company engages in the insurance agency business. The company was formerly known as Tancho Corporation and changed its name to Mandom Corporation in April 1971. Mandom Corporation was incorporated in 1927 and is headquartered in Osaka, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 4917.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 2025