-
1 Comment
Asmo Corporation is currently in a long term uptrend where the price is trading 4.5% above its 200 day moving average.
From a valuation standpoint, the stock is 61.9% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 0.4.
Asmo Corporation's total revenue sank by 4.1% to $5B since the same quarter in the previous year.
Its net income has dropped by 13.9% to $182M since the same quarter in the previous year.
Based on the above factors, Asmo Corporation gets an overall score of 2/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| ISIN | JP3384720003 |
| Sector | Consumer Defensive |
| Industry | Packaged Foods |
| Beta | 0.25 |
|---|---|
| Market Cap | 5B |
| PE Ratio | 13.27 |
| Target Price | None |
| Dividend Yield | 5.8% |
Asmo Corporation processed, imports and sells meat products. It provides meals in various fields, such as hospital meals, office meals, school meals, and welfare facility meals for the elderly. The company also offers nursing care services; manages 10 Japanese restaurants in Hong Kong; and provides insurance products. Additionally, it engages in trust business, such as management of property for the elderly and maintenance of lump-sum payment for paid elderly home, as well as real estate leasing business. Further, the company operates home-visit / home care establishments, pay nursing homes, and restaurants. The company was incorporated in 1975 and is based in Tokyo, Japan. Asmo Corporation operates as a subsidiary of PersonsBridge Co., Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2654.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
