-
1 Comment
Tsutsumi Jewelry Co.,Ltd is currently in a long term uptrend where the price is trading 7.0% above its 200 day moving average.
From a valuation standpoint, the stock is 85.5% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 2.0.
Tsutsumi Jewelry Co.,Ltd's total revenue rose by 20.7% to $5B since the same quarter in the previous year.
Its net income has increased by 95.6% to $397M since the same quarter in the previous year.
Based on the above factors, Tsutsumi Jewelry Co.,Ltd gets an overall score of 3/5.
Industry | Luxury Goods |
---|---|
Sector | Consumer Cyclical |
Exchange | TSE |
CurrencyCode | JPY |
ISIN | JP3533500009 |
Beta | 0.06 |
---|---|
Target Price | None |
Dividend Yield | 4.0% |
Market Cap | 35B |
PE Ratio | 17.62 |
Tsutsumi Jewelry Co.,Ltd. engages in the manufacture, wholesale, and retail of jewelry in Japan. The company offers rings, earrings, necklace, pendent necklace, bridal jewelry, bracelet, and other accessories. It also provides jewelry design, as well as reconditioning and repair of pre-owned jewelry. In addition, the company operates precious stone trading centers in the United States, Belgium, Israel, India, and Thailand; and jewelry retail stores. It offers its products under the Pure Planets, Blessed Rain, Classical Autumn, Modern Muse, Authentic Wedding, and TODAY's DIAMONDS brands. The company was formerly known as Tsutsumi Precious Metals and Crafts Co., Ltd. and changed its name to Tsutsumi Jewelry Co., Ltd. in April 1988. Tsutsumi Jewelry Co.,Ltd. was founded in 1962 and is headquartered in Warabi, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7937.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