-
1 Comment
Tokyo Energy & Systems Inc is currently in a long term uptrend where the price is trading 4.2% above its 200 day moving average.
From a valuation standpoint, the stock is 56.3% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.5.
Tokyo Energy & Systems Inc's total revenue sank by 15.5% to $14B since the same quarter in the previous year.
Its net income has dropped by 20.3% to $419M since the same quarter in the previous year.
Based on the above factors, Tokyo Energy & Systems Inc gets an overall score of 2/5.
| Sector | Industrials |
|---|---|
| Industry | Engineering & Construction |
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3585400009 |
| Dividend Yield | 5.0% |
|---|---|
| Market Cap | 35B |
| PE Ratio | 12.83 |
| Target Price | 1340 |
| Beta | 0.28 |
Tokyo Energy & Systems Inc. engages in the planning, study, design, construction, and supervision of electric and mechanical facilities in Japan. The company primarily constructs thermal and nuclear power, hydro-electric power, chemical, and industrial plants, as well as substations, environmental facilities, and building and housing projects. It also provides design and construction services for civil and architectural, and telecommunication system and electronic facilities; electricity supply and worker dispatching businesses; and the sale/purchase, lease, and management of real estate. The company was formerly known as Tokyo Denki Komusho Co., Ltd. and changed its name to Tokyo Energy & Systems Inc. in April 2001. Tokyo Energy & Systems Inc. was founded in 1947 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1945.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
