-
1 Comment
Atom Livin Tech Co., Ltd is currently in a long term uptrend where the price is trading 0.4% above its 200 day moving average.
From a valuation standpoint, the stock is 47.5% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.6.
Atom Livin Tech Co., Ltd's total revenue sank by 12.2% to $3B since the same quarter in the previous year.
Its net income has dropped by 16.7% to $138M since the same quarter in the previous year.
Based on the above factors, Atom Livin Tech Co., Ltd gets an overall score of 2/5.
| Sector | Industrials |
|---|---|
| Industry | Building Products & Equipment |
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3121910008 |
| PE Ratio | 14.22 |
|---|---|
| Beta | -0.01 |
| Market Cap | 6B |
| Target Price | None |
| Dividend Yield | 0.0% |
Atom Livin Tech Co., Ltd. plans, develops, and sells interior hardware products in Japan. It offers door locks; hinges; slide hinges; swing door fittings; sliding door locks and hardware; top-hung sliding door fittings; movable partition fittings; folding door fittings; aluminum interior fittings; handles and pulls; slide rails and wire baskets; storage and hanging hardware; clothes drying fixtures and other fittings; brass antiques; and other furniture hardware under the ATOM brand name. The company sells its products through online and hardware stores. It serves furniture manufacturers, construction hardware stores, house builders, and housing equipment manufacturers. The company was founded in 1903 and is headquartered in Taito, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3426.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
