-
1 Comment
Zoomd Technologies Ltd is currently in a long term downtrend where the price is trading 28.0% below its 200 day moving average.
From a valuation standpoint, the stock is 99.3% cheaper than other stocks from the Communication Services sector with a price to sales ratio of 4.3.
Zoomd Technologies Ltd's total revenue rose by 12.2% to $7M since the same quarter in the previous year.
Its net income has increased by 43.6% to $-2M since the same quarter in the previous year.
Finally, its free cash flow fell by 0.8% to $-997K since the same quarter in the previous year.
Based on the above factors, Zoomd Technologies Ltd gets an overall score of 3/5.
Industry | Internet Content & Information |
---|---|
Sector | Communication Services |
ISIN | CA98981L1004 |
CurrencyCode | CAD |
Exchange | V |
Dividend Yield | 0.0% |
---|---|
Target Price | None |
PE Ratio | 0.0 |
Market Cap | 13M |
Beta | 1.48 |
Zoomd Technologies Ltd. develops proprietary patented technology for leveraging onsite search for publishers, media agencies, and advertisers. It offers an internal site search engine for clients to implement search in publishers' web site. The company also provides unified mobile user acquisition platform for managing various user acquisition activity under one unified command and control screen. In addition, it offers App marketing, SaaS mobile, mobile demand side platform, UA managed, creator generated content, Website publisher, site search engine, and Web monetization services. The company was founded in 2012 and is based in Vancouver, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ZOMD.V 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