-
1 Comment
Niraku GC Holdings, Inc is currently in a long term uptrend where the price is trading 1.6% above its 200 day moving average.
From a valuation standpoint, the stock is 95.9% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.2.
Niraku GC Holdings, Inc's total revenue sank by 51.3% to $7B since the same quarter in the previous year.
Its net income has dropped by 91.0% to $45M since the same quarter in the previous year.
Finally, its free cash flow fell by 56.2% to $990M since the same quarter in the previous year.
Based on the above factors, Niraku GC Holdings, Inc gets an overall score of 2/5.
Exchange | HK |
---|---|
CurrencyCode | HKD |
Sector | Consumer Cyclical |
Industry | Resorts & Casinos |
ISIN | JP3756380006 |
Target Price | None |
---|---|
Beta | 0.12 |
Market Cap | 225M |
PE Ratio | 9.4 |
Dividend Yield | 6.9% |
Niraku GC Holdings, Inc., an investment holding company, engages in the operation of pachinko and pachislot halls in Japan. The company also operates a Spanish restaurant franchise under the LIZARRAN brand name; cafes under the KOMEDA brand name; a food court under the YOKOCHO brand name; and tea under the Gong Cha brand name, as well as hotels and amusement arcade. In addition, it engages in the property investment business; wholesale of computer games, sporting, and other recreational goods; and provision of human resource management and cleaning services. The company was formerly known as Niraku Global Community Holdings Inc. Niraku GC Holdings, Inc. was founded in 1950 and is headquartered in Koriyama, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1245.HK 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