-
1 Comment
AGF Management Limited is currently in a long term uptrend where the price is trading 17.9% above its 200 day moving average.
From a valuation standpoint, the stock is 94.5% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.5.
AGF Management Limited's total revenue sank by 1.9% to $98M since the same quarter in the previous year.
Its net income has increased by 922.9% to $110M since the same quarter in the previous year.
Finally, its free cash flow fell by 174.1% to $-38M since the same quarter in the previous year.
Based on the above factors, AGF Management Limited gets an overall score of 3/5.
ISIN | None |
---|---|
Exchange | TO |
CurrencyCode | CAD |
Sector | Financial Services |
Industry | Asset Management |
PE Ratio | 6.63 |
---|---|
Market Cap | 623M |
Target Price | 12.3929 |
Dividend Yield | 5.2% |
Beta | 1.24 |
AGF Management Limited is one of Canada's premier investment management companies with offices across Canada and subsidiaries around the world. 2007 marks AGF's 50th anniversary ofproviding Canadians with innovative investment solutions across the wealth continuum. AGF's products and services include a diversified family of more than 50 mutual funds, the evolutionary AGF Elements portfolios, the Harmony asset management program, AGF Private Investment Management, Institutional Account Services and AGF Trust GICs, loans and mortgages. With approximately $53 billion in total assets under management, AGF serves more than one million investors. AGF Management Limited was formed on 1957 and is based in Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AGF-B.TO 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