-
1 Comment
GFA Co., Ltd is currently in a long term uptrend where the price is trading 6.1% above its 200 day moving average.
From a valuation standpoint, the stock is 46.9% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.3.
GFA Co., Ltd's total revenue sank by 10.8% to $1B since the same quarter in the previous year.
Its net income has dropped by 807.6% to $-689M since the same quarter in the previous year.
Based on the above factors, GFA Co., Ltd gets an overall score of 2/5.
Exchange | TSE |
---|---|
CurrencyCode | JPY |
Sector | Financial Services |
Industry | Asset Management |
ISIN | JP3273830004 |
Market Cap | 6B |
---|---|
PE Ratio | None |
Target Price | None |
Beta | 1.01 |
Dividend Yield | None |
GFA Co., Ltd. provides various financial services in Japan. It offers financial advisory services, including financial arrangement; mergers and acquisitions (M&A) services in the areas of acquisitions, sales, mergers, joint ventures, strategic capital, business alliances, etc. for domestic and overseas companies; and invests in owning and developing of real estate properties. The company also raises working capital for various needs, as well as for real estate purchases; and provides consulting services. In addition, it engages in real estate rental; real estate buying, selling, and brokerage; real estate secured loans; real estate resale business; welfare support business; and META CAMELOT, a metaverse type nightclub. The company was formerly known as Ground Financial Advisory Co., Ltd. and changed its name to GFA Co., Ltd. in July 2012. GFA Co., Ltd. was incorporated in 2002 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8783.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