-
1 Comment
HOUSE OF ROSE Co.,Ltd is currently in a long term downtrend where the price is trading 0.2% below its 200 day moving average.
From a valuation standpoint, the stock is 35.1% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.7.
HOUSE OF ROSE Co.,Ltd's total revenue sank by 2.5% to $3B since the same quarter in the previous year.
Its net income has increased by 456.5% to $94M since the same quarter in the previous year.
Based on the above factors, HOUSE OF ROSE Co.,Ltd gets an overall score of 2/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| ISIN | JP3765300003 |
| Sector | Consumer Cyclical |
| Industry | Department Stores |
| Target Price | None |
|---|---|
| Dividend Yield | 2.9% |
| PE Ratio | 81.3 |
| Beta | -0.01 |
| Market Cap | 6B |
HOUSE OF ROSE Co.,Ltd., together with its subsidiaries, operates cosmetic stores in Japan. It operates through Direct Store Product Sales Business, Wholesale Business, and Direct Store Service Business segments. The company's stores offer natural skincare and makeup cosmetics, body and hair care, bath, and other cosmetic products. It also manages relaxation salons and women-only fitness salons under the Curves brand. The company operates stores under the House of Rose, Be Prime, Oh!Baby by HOUSE OF ROSE, and Beauty Deli brands, as well as online stores. It also sells products under the FLORIS and COLLINES DE PROVENCE brands. HOUSE OF ROSE Co.,Ltd. was founded in 1978 and is headquartered in Minato, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7506.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