-
1 Comment
Sakai Heavy Industries, Ltd is currently in a long term uptrend where the price is trading 18.9% above its 200 day moving average.
From a valuation standpoint, the stock is 56.3% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.5.
Sakai Heavy Industries, Ltd's total revenue sank by 6.8% to $5B since the same quarter in the previous year.
Its net income has dropped by 26.3% to $88M since the same quarter in the previous year.
Based on the above factors, Sakai Heavy Industries, Ltd gets an overall score of 2/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| ISIN | JP3313200002 |
| Sector | Industrials |
| Industry | Farm & Heavy Construction Machinery |
| Market Cap | 17B |
|---|---|
| PE Ratio | 12.15 |
| Dividend Yield | 5.1% |
| Beta | 0.25 |
| Target Price | None |
Sakai Heavy Industries, Ltd. manufactures and sells of construction equipment and industrial machinery in Japan and internationally. The company offers soil compactors, such as vibratory single drum rollers; asphalt rollers, including static three wheel rollers, static pneumatic tire rollers, vibratory tandem rollers, and combined rollers; road maintenance equipment, comprising road cutter, road planner, and soil stabilizers, water sprinkler, and cold recyclers; and light equipment, which include walk behind rollers, plate compactors, and rammers. It is also involved in the sale of outsourced industrial machinery. The company was founded in 1918 and is headquartered in Minato, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6358.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