-
1 Comment
Everspin Technologies, Inc is currently in a long term downtrend where the price is trading 0.8% below its 200 day moving average.
From a valuation standpoint, the stock is 80.2% cheaper than other stocks from the Technology sector with a price to sales ratio of 2.7.
Everspin Technologies, Inc's total revenue rose by 3.4% to $10M since the same quarter in the previous year.
Its net income has increased by 48.3% to $-2M since the same quarter in the previous year.
Finally, its free cash flow grew by 120.3% to $601K since the same quarter in the previous year.
Based on the above factors, Everspin Technologies, Inc gets an overall score of 4/5.
ISIN | US30041T1043 |
---|---|
Exchange | F |
CurrencyCode | EUR |
Sector | Technology |
Industry | Semiconductors |
PE Ratio | 114.5 |
---|---|
Target Price | 9.25 |
Beta | 0.61 |
Market Cap | 107M |
Dividend Yield | None |
Everspin Technologies, Inc. manufactures and sells magnetoresistive random access memory (MRAM) technologies in the United States, Japan, Hong Kong, Germany, Singapore, China, Canada, and internationally. It offers Toggle MRAM, spin-transfer torque MRAM, and tunnel magneto resistance sensor products, as well as foundry services for MRAM products. The company provides its products for applications, including industrial, medical, automotive/transportation, aerospace, and data center markets. It serves original equipment manufacturers, contract manufacturers, and original design manufacturers through a direct sales channel, and a network of representatives and distributors. Everspin Technologies, Inc. was incorporated in 2008 and is headquartered in Chandler, Arizona.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for E5N.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