-
1 Comment
Weds Co., Ltd is currently in a long term uptrend where the price is trading 6.9% above its 200 day moving average.
From a valuation standpoint, the stock is 72.2% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.3.
Weds Co., Ltd's total revenue rose by 10.7% to $12B since the same quarter in the previous year.
Its net income has increased by 33.3% to $801M since the same quarter in the previous year.
Based on the above factors, Weds Co., Ltd gets an overall score of 4/5.
| Industry | Auto Parts |
|---|---|
| Exchange | TSE |
| CurrencyCode | JPY |
| ISIN | JP3154900009 |
| Sector | Consumer Cyclical |
| PE Ratio | 7.08 |
|---|---|
| Market Cap | 10B |
| Target Price | None |
| Dividend Yield | 4.3% |
| Beta | 0.39 |
Weds Co., Ltd., together with its subsidiaries, engages in the automobile-related wholesale business in Japan. It operates through Automobile Related Sales Business, Logistics Business, Automotive Retail Business, and Welfare segments. The company is involved in the wholesale business, such as after-sales service of automobile parts, automobile wheels, and car accessory parts; manufactures steel wheels; sale of automobile wheel parts; manufacture and sale of high-end aluminum wheels; and logistics business, including storage and loading of wheels and other original products. It also provides warehousing services; wheels and car accessory parts retail business; welfare services for the elderly; and operates as a real estate rental company. The company was formerly known as Nippo Co., Ltd. and changed its name to Weds Co., Ltd. in November 1973. Weds Co., Ltd. was founded in 1965 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7551.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