-
1 Comment
Aoyama Trading Co., Ltd is currently in a long term uptrend where the price is trading 4.1% above its 200 day moving average.
From a valuation standpoint, the stock is 72.2% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.3.
Aoyama Trading Co., Ltd's total revenue sank by 17.8% to $45B since the same quarter in the previous year.
Its net income has increased by 32.6% to $-1B since the same quarter in the previous year.
Based on the above factors, Aoyama Trading Co., Ltd gets an overall score of 3/5.
| Sector | Consumer Cyclical |
|---|---|
| Industry | Apparel Retail |
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3106200003 |
| Market Cap | 99B |
|---|---|
| PE Ratio | 11.01 |
| Target Price | 1950 |
| Beta | -0.01 |
| Dividend Yield | 6.2% |
Aoyama Trading Co., Ltd. engages in the business wear, credit card, printing and media, sundry sales, repair service, franchisee, and other businesses in Japan. The company offers suits, shoes, and casual clothing and other men's items; and ladies suits for job hunting, formal wear, and others. It also issues and manages credit cards, as well as manages finance; provides sales promotion services, such as distributing flyers and direct mails. In addition, the company offers repair services for shoes and key duplication under the Mister Minit brand; sells daily merchandise; and operates restaurants and fitness gyms. Further, it operates in the web media business. Aoyama Trading Co., Ltd. was incorporated in 1964 and is headquartered in Fukuyama, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8219.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
