-
1 Comment
HEPHAIST Co., Ltd is currently in a long term uptrend where the price is trading 17.0% above its 200 day moving average.
From a valuation standpoint, the stock is 13.7% more expensive than other stocks from the Industrials sector with a price to sales ratio of 1.3.
HEPHAIST Co., Ltd's total revenue rose by 15.6% to $597M since the same quarter in the previous year.
Its net income has increased by 235.1% to $46M since the same quarter in the previous year.
Based on the above factors, HEPHAIST Co., Ltd gets an overall score of 3/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| ISIN | JP3783050002 |
| Sector | Industrials |
| Industry | Metal Fabrication |
| Target Price | None |
|---|---|
| Dividend Yield | 0.3% |
| Beta | 0.49 |
| Market Cap | 2B |
| PE Ratio | None |
HEPHAIST Co., Ltd., together with its subsidiary, Hefei (Shanghai) Bearing Trading Co., Ltd., engages in the manufacturing and sales of linear motion equipment, precision parts processing products, and unit products in Japan and internationally. The company provides linear bearing products, including linear ball bushing, linear ball bushing with and without flanges, linear ball bushing with case, SS and SSF type shaft folder, and miniature ball screw spline. It also offers high-precision positioning stage, such as XY" stage, ultra-precision stage, Z tilt stage, and Z-axis stage; spherical bearing, short shaft type, and plain spherical bearing; and ball spline unit. It also provides import and export services for linear bearing and unit products. The company was incorporated in 1962 and is headquartered in Kawagoe, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6433.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
