-
1 Comment
Nishimatsuya Chain Co., Ltd is currently in a long term downtrend where the price is trading 8.3% 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.
Nishimatsuya Chain Co., Ltd's total revenue rose by 24.7% to $43B since the same quarter in the previous year.
Its net income has increased by 514.4% to $3B since the same quarter in the previous year.
Based on the above factors, Nishimatsuya Chain Co., Ltd gets an overall score of 3/5.
| Sector | Consumer Cyclical |
|---|---|
| Industry | Specialty Retail |
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3659300002 |
| Market Cap | 128B |
|---|---|
| PE Ratio | 15.27 |
| Target Price | 2400 |
| Dividend Yield | 0.7% |
| Beta | 0.18 |
Nishimatsuya Chain Co., Ltd. operates a chain of specialty stores for baby/children's living goods in Japan. The company offers newborn and baby clothes; children's wear; school uniforms; maternity products, nursing clothes, and mom goods; fashion goods, such as socks and legwear, shoes, hat, bags and travel pockets, fashion accessories, rain gear, cold weather accessories, swimming gear, lunch supplies, and other school and kindergarten accessories; and milk, breastfeeding, and meals, disposable diapers and toilets, bathing, laundry and baby care, strollers and baby carriers, child seat, bedding, furniture/indoor supplies, toys, memorial, pools and water activities, and water bottles. It operates various stores. The company was incorporated in 1956 and is based in Himeji, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7545.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
