-
1 Comment
SAKURA KCS Corporation is currently in a long term downtrend where the price is trading 6.9% below its 200 day moving average.
From a valuation standpoint, the stock is 87.9% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.4.
SAKURA KCS Corporation's total revenue rose by 10.8% to $6B since the same quarter in the previous year.
Its net income has increased by 217.1% to $89M since the same quarter in the previous year.
Based on the above factors, SAKURA KCS Corporation gets an overall score of 3/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| Sector | Technology |
| ISIN | JP3317500001 |
| Industry | Information Technology Services |
| Target Price | None |
|---|---|
| Dividend Yield | 1.6% |
| Beta | -0.13 |
| PE Ratio | 12.29 |
| Market Cap | 14B |
SAKURA KCS Corporation provides information services in Japan. It operates through Financial Sector, Public Sector, and Industrial Sector segments. The company develops and sells application software and package software products to customers in various industries comprising finance, public, manufacturing, distribution, services, etc. It also provides data center services, including cloud, housing, and business process outsourcing, as well as outsourcing services, such as data entry and printing. In addition, the company designs and builds digital platforms comprising system infrastructure and network environment; and offers computer maintenance services, as well as sells various computer equipment and related peripheral equipment and fixtures. SAKURA KCS Corporation was incorporated in 1969 and is headquartered in Kobe, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 4761.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 2026
