-
1 Comment
GCA Corporation is currently in a long term uptrend where the price is trading 29.5% above its 200 day moving average.
From a valuation standpoint, the stock is 26.5% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.8.
GCA Corporation's total revenue rose by 14.0% to $9B since the same quarter in the previous year.
Its net income has dropped by 42.1% to $360M since the same quarter in the previous year.
Finally, its free cash flow grew by 37.3% to $5B since the same quarter in the previous year.
Based on the above factors, GCA Corporation gets an overall score of 4/5.
CurrencyCode | JPY |
---|---|
Exchange | TSE |
ISIN | JP3386390003 |
Industry | Financial Conglomerates |
Sector | Financial Services |
Beta | 1.19 |
---|---|
Dividend Yield | 2.5% |
Target Price | 1000 |
PE Ratio | 19.22 |
Market Cap | 63B |
GCA Corporation provides investment banking services worldwide. The company offers strategic merger and acquisition, capital market, and private fund advisory services, as well as debt advisory and asset management services. It primarily serves the technology, media and digital media, financial technology and services, healthcare, and industrial and industrial technology sectors, as well as the consumer, retail, e-commerce, and leisure sectors. The company was formerly known as GCA Savvian Corporation and changed its name to GCA Corporation in July 2016. GCA Corporation was founded in 2004 and is based in Tokyo, Japan. GCA Corporation operates as a subsidiary of Houlihan Lokey, Inc.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2174.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