-
1 Comment
KNeoMedia Limited is currently in a long term downtrend where the price is trading 48.3% below its 200 day moving average.
From a valuation standpoint, the stock is 59.4% cheaper than other stocks from the Technology sector with a price to sales ratio of 29.0.
KNeoMedia Limited's total revenue rose by 191.0% to $172K since the same quarter in the previous year.
Its net income has increased by 14.1% to $-1M since the same quarter in the previous year.
Finally, its free cash flow grew by 66.0% to $-412K since the same quarter in the previous year.
Based on the above factors, KNeoMedia Limited gets an overall score of 4/5.
| Industry | Software - Application |
|---|---|
| Exchange | AU |
| CurrencyCode | AUD |
| ISIN | AU000000KNM0 |
| Sector | Technology |
| Beta | 0.74 |
|---|---|
| Market Cap | 3M |
| PE Ratio | None |
| Target Price | 0.03 |
| Dividend Yield | None |
KNeoMedia Limited, a SaaS education publishing company, provides education assessment and games-based learning products for educational markets in Australia, the United States, and internationally. It offers digital learning programs and assessment tools. The company also operates KNeoWorld portal, a story-based lessons and games, and analytical learning platform that provides various ways for students to practice key concepts and skills. It publishes, markets, and sells games on a license basis through the KneoWorld.com, education departments, and distribution agreements. The company was formerly known as Entellect Limited and changed its name to KNeoMedia Limited in May 2015. KNeoMedia Limited was incorporated in 1987 and is based in Melbourne, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KNM.AU 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
