-
1 Comment
Praemium Limited is currently in a long term uptrend where the price is trading 34.5% above its 200 day moving average.
From a valuation standpoint, the stock is 89.8% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 5.4.
Praemium Limited's total revenue rose by 32.6% to $31M since the same quarter in the previous year.
Its net income has increased by 112.7% to $3M since the same quarter in the previous year.
Finally, its free cash flow grew by 440.3% to $1M since the same quarter in the previous year.
Based on the above factors, Praemium Limited gets an overall score of 5/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
ISIN | AU000000PPS1 |
Sector | Financial Services |
Industry | Capital Markets |
Beta | 0.32 |
---|---|
Market Cap | 358M |
PE Ratio | 37.5 |
Target Price | 0.9001 |
Dividend Yield | 2.7% |
Praemium Limited, together with its subsidiaries, provides advisors and wealth management solutions by seamless digital platform experience in Australia and internationally. The company offers technology solutions, such as reporting, online business management, digital engagement, tax and corporate actions, and investment governance. It also offers product solutions, which includes private wealth, investments and superannuation, software licensing, and third party administrations. In addition, it provides managed accounts platform that includes virtual managed accounts and virtual managed accounts administration service. It serves as advisors, investment managers, and investors. The company was incorporated in 2001 and is based in Melbourne, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for PPS.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