-
1 Comment
Fuji P.S Corporation is currently in a long term downtrend where the price is trading 5.4% below its 200 day moving average.
From a valuation standpoint, the stock is 65.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.4.
Fuji P.S Corporation's total revenue sank by 2.0% to $7B since the same quarter in the previous year.
Its net income has increased by 87.0% to $331M since the same quarter in the previous year.
Based on the above factors, Fuji P.S Corporation gets an overall score of 2/5.
| ISIN | JP3820650004 |
|---|---|
| Exchange | TSE |
| CurrencyCode | JPY |
| Sector | Industrials |
| Industry | Engineering & Construction |
| Market Cap | 8B |
|---|---|
| Beta | 0.36 |
| PE Ratio | 18.02 |
| Target Price | None |
| Dividend Yield | 4.1% |
Fuji P.S Corporation engages in the construction business. The company designs and constructs prestressed concrete structures, including highway and railway bridges, viaducts, general road bridges, water storage tanks, etc.; repair, reinforcement, and renewal of civil engineering structures, such as pre-cast PC floor slab replacement method, prestress introduction work, electrochemical anticorrosion work, etc.; and prestressed concrete buildings comprising PCaPC work, FR and FC slabs, PC ring, cast-in-place tension work, etc. It is also involved in the design and construction of seismic strengthening for existing buildings; and manufacture and sale of prestressed concrete product that include JIS bridge girders, sleepers, floor slabs, etc. The company was incorporated in 1954 and is headquartered in Fukuoka City, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1848.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
