-
1 Comment
Alfresa Holdings Corporation is currently in a long term downtrend where the price is trading 15.7% below its 200 day moving average.
From a valuation standpoint, the stock is 99.7% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 0.2.
Alfresa Holdings Corporation's total revenue sank by 0.8% to $690B since the same quarter in the previous year.
Its net income has dropped by 19.0% to $8B since the same quarter in the previous year.
Based on the above factors, Alfresa Holdings Corporation gets an overall score of 1/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| Sector | Healthcare |
| Industry | Medical Distribution |
| ISIN | JP3126340003 |
| Beta | -0.13 |
|---|---|
| Dividend Yield | 2.9% |
| Market Cap | 396B |
| PE Ratio | 14.7 |
| Target Price | 2226.6667 |
Alfresa Holdings Corporation, through its subsidiaries, engages in the manufacture, wholesale, marketing, and import/export of pharmaceuticals, diagnostic reagents, and medical devices/equipment in Japan and internationally. It is also involved in the operation of dispensing pharmacies and conducting related businesses; ethical pharmaceuticals wholesaling business; self-medication products wholesaling business; and other medical-related businesses. In addition, the company manufactures and markets active pharmaceutical ingredients; contract distribution services in hospitals; operation, maintenance, and development of information system; supply of cell raw materials; manufacturing of specific processed cells and regenerative medicine products. The company was incorporated in 2003 and is based in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2784.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
