-
1 Comment
Edison Nation, Inc is currently in a long term uptrend where the price is trading 39.1% above its 200 day moving average.
From a valuation standpoint, the stock is 99.2% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.7.
Edison Nation, Inc's total revenue rose by 20.3% to $4M since the same quarter in the previous year.
Its net income has dropped by 9.8% to $-3M since the same quarter in the previous year.
Finally, its free cash flow fell by 145.1% to $-955K since the same quarter in the previous year.
Based on the above factors, Edison Nation, Inc gets an overall score of 3/5.
Industry | Leisure |
---|---|
Sector | Consumer Cyclical |
Exchange | NASDAQ |
CurrencyCode | USD |
ISIN | US28103E1064 |
Beta | 0.79 |
---|---|
Dividend Yield | 0.0% |
Target Price | None |
Market Cap | 25M |
PE Ratio | None |
Edison Nation, Inc. operates as a consumer product research and development, manufacturing, sales, and fulfillment company in North America, the Asia Pacific, and Europe. The company manufactures and sells children's sleep products under the Cloud b brand name through its e-commerce site, online retailers, specialty boutiques, gift stores, and retailers, as well as other products under the Pirasta, Uber Mom, Best Party Concepts, Lily and Grey, Sol and Salud, Trillion Trees, Eco Quest, Smarter Specs, Barkley Lane, and Ngenious Fun brands. It also operates web-enabled platform; and offers shipping services. The company was formerly known as Xspand Products Lab, Inc. and changed its name to Edison Nation, Inc. in September 2018. Edison Nation, Inc. was incorporated in 2017 and is based in Bethlehem, Pennsylvania.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for EDNT 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 2024