-
1 Comment
Uniden Holdings Corporation is currently in a long term uptrend where the price is trading 157.2% above its 200 day moving average.
From a valuation standpoint, the stock is 95.6% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.6.
Uniden Holdings Corporation's total revenue rose by 90.9% to $7B since the same quarter in the previous year.
Its net income has increased by 421.1% to $3B since the same quarter in the previous year.
Based on the above factors, Uniden Holdings Corporation gets an overall score of 4/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| ISIN | None |
| Sector | |
| Industry |
| Market Cap | 140 |
|---|---|
| PE Ratio | 0.0 |
| Target Price | None |
| Dividend Yield | 0.0% |
| Beta | 0.52 |
Uniden Holdings Corporation engages in the manufacture and sale of telecommunications equipment in Japan, the United States, Europe, Australia, and internationally. The company offers wireless communication devices, including radio scanners, CB radios, UHF CB radios, marine radios, video surveillance equipment, radar detectors, and dash cams; telecommunication equipment, such as cordless telephones; and digital appliances under the Uniden brand. It also buys, manages, and sells investment, commercial, and residential properties. The company was formerly known as Uniden Corporation and changed its name to Uniden Holdings Corporation in July 2015. Uniden Holdings Corporation was incorporated in 1947 and is headquartered in Tokyo, Japan. As of August 8, 2022, Uniden Holdings Corporation operates as a subsidiary of Valencia K.K..
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for UMZ.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
