-
1 Comment
EQ Inc is currently in a long term downtrend where the price is trading 1.6% below its 200 day moving average.
From a valuation standpoint, the stock is 51.1% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 9.1.
EQ Inc's total revenue rose by 15.0% to $3M since the same quarter in the previous year.
Its net income has dropped by 91.7% to $-627K since the same quarter in the previous year.
Finally, its free cash flow fell by 27.0% to $-282K since the same quarter in the previous year.
Based on the above factors, EQ Inc gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | None |
Sector | |
Industry |
Market Cap | 65M |
---|---|
PE Ratio | None |
Target Price | None |
Dividend Yield | 0.0% |
Beta | -0.3 |
EQ Inc., creates and targets customized audience segments using location-based behavior signals, advanced data analytics, and proprietary software in Canada, the United States, and internationally. The company's products include Atom, a proprietary programmatic media buying platform, which enables to purchase targeted media for its clients to influence consumer behavior; and LOCUS, a proprietary automated data processing technology that enables to manage data at scale and enrich those data with proprietary first party and third party data. It also provides integrated digital marketing solutions. The company was formerly known as Cyberplex Inc. and changed its name to EQ Inc. in June 2013. EQ Inc. was incorporated in 1995 and is headquartered in Toronto, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CXJ1.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