-
1 Comment
KITZ Corporation is currently in a long term uptrend where the price is trading 17.2% 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.
KITZ Corporation's total revenue sank by 15.1% to $27B since the same quarter in the previous year.
Its net income has dropped by 42.7% to $837M since the same quarter in the previous year.
Finally, its free cash flow grew by 625.1% to $3B since the same quarter in the previous year.
Based on the above factors, KITZ Corporation gets an overall score of 3/5.
Industry | Specialty Industrial Machinery |
---|---|
Sector | Industrials |
ISIN | JP3240700009 |
CurrencyCode | JPY |
Exchange | TSE |
Target Price | 1000 |
---|---|
Dividend Yield | 3.8% |
Beta | 0.5 |
PE Ratio | 9.46 |
Market Cap | 81B |
KITZ Corporation engages in the manufacturing and selling of valves, other flow control devices, and related products in Japan and internationally. It operates through three segments: Valve Manufacturing, Brass Bar Manufacturing, and Other segments. The Valve Manufacturing segment manufactures and sells valves, fittings, water purifiers, and industrial filters that are used for the control of fluids. The Brass Bar Manufacturing segment offers brass bars and other fabricated brass products for machines, construction materials, and other applications. The Other segment operates a resort hotel in Suwa city, Nagano Prefecture. It offers its products under the KITZ brand name. KITZ Corporation was incorporated in 1944 and is headquartered in Chiba, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6498.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 2024