-
1 Comment
Emerson Radio Corp is currently in a long term uptrend where the price is trading 5.5% above its 200 day moving average.
From a valuation standpoint, the stock is 83.4% cheaper than other stocks from the Technology sector with a price to sales ratio of 4.2.
Emerson Radio Corp's total revenue rose by 11.4% to $2M since the same quarter in the previous year.
Its net income has increased by 4.4% to $-945K since the same quarter in the previous year.
Finally, its free cash flow fell by 128.9% to $-998K since the same quarter in the previous year.
Based on the above factors, Emerson Radio Corp gets an overall score of 4/5.
Industry | Consumer Electronics |
---|---|
Exchange | NYSE MKT |
CurrencyCode | USD |
ISIN | US2910872033 |
Sector | Technology |
Market Cap | 9M |
---|---|
PE Ratio | None |
Target Price | 0 |
Beta | 0.33 |
Dividend Yield | None |
Emerson Radio Corp., together with its subsidiaries, designs, sources, imports, markets, and sells various houseware and consumer electronic products under the Emerson brand in the United States and internationally. It offers houseware products, such as microwave ovens, compact refrigerators, and toaster ovens; audio products, including clock radios, Bluetooth speakers, karaoke machines, and wireless charging products; and other products comprising televisions, massagers, and security products. The company also licenses its trademarks to others for various products. It markets its products primarily through mass merchandisers and online marketplaces. The company was founded in 1912 and is headquartered in Parsippany, New Jersey. Emerson Radio Corp. is a subsidiary of S&t International Distribution Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MSN 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