-
1 Comment
JAPAN POST BANK Co.,Ltd is currently in a long term downtrend where the price is trading 3.2% below its 200 day moving average.
From a valuation standpoint, the stock is 94.1% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 2.6.
JAPAN POST BANK Co.,Ltd's total revenue rose by 20.3% to $419B since the same quarter in the previous year.
Its net income has increased by 56.7% to $102B since the same quarter in the previous year.
Based on the above factors, JAPAN POST BANK Co.,Ltd gets an overall score of 3/5.
| Industry | Banks - Regional |
|---|---|
| Exchange | F |
| CurrencyCode | EUR |
| ISIN | JP3946750001 |
| Sector | Financial Services |
| Market Cap | 41B |
|---|---|
| PE Ratio | 17.38 |
| Target Price | None |
| Dividend Yield | 3.5% |
| Beta | 0.04 |
JAPAN POST BANK Co., Ltd. provides financial products and services in Japan and internationally. The company offers regular, fixed, and wealth building saving accounts, remittance and payment pension account. It provides loans and lending comprising mortgage, account overdraft, and savings-secured automatic loans. In addition, it offers asset management and defined contribution pension plans, including investment trusts, variable annuities, and government bonds. Further it provides stores and ATM services. The company was formerly known as Yucho Co, Ltd. and changed its name to JAPAN POST BANK Co., Ltd. in October 2007. The company was incorporated in 2006 and is headquartered in Tokyo, Japan. JAPAN POST BANK Co., Ltd. is a subsidiary of Japan Post Holdings Co., Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 5JP.F 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