-
1 Comment
SEEK Limited is currently in a long term uptrend where the price is trading 16.3% above its 200 day moving average.
From a valuation standpoint, the stock is 57.9% cheaper than other stocks from the Industrials sector with a price to sales ratio of 6.6.
SEEK Limited's total revenue sank by 0.0% to $442M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $38M since the same quarter in the previous year.
Finally, its free cash flow grew by 17.8% to $82M since the same quarter in the previous year.
Based on the above factors, SEEK Limited gets an overall score of 3/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | AU000000SEK6 |
Sector | Communication Services |
Industry | Internet Content & Information |
PE Ratio | 165.71 |
---|---|
Target Price | None |
Dividend Yield | 2.6% |
Beta | 1.13 |
Market Cap | 4B |
SEEK Limited, together with its subsidiaries, engages in the provision of online employment marketplace services in Australia, South East Asia, New Zealand, the United Kingdom, Europe, and internationally. The company offers Jora, an online employment marketplace; JobAdder, a talent acquisition suite that simplifies the hiring process for recruiter and corporate talent acquisition teams; and Certsy, a platform to securely verify and share work credentials, and to complete compliance checks. It also owns and manages seek, JobsDB, JobStreet, catho, and occmundial platforms. In addition, the company holds a portfolio of investments in the human capital management industry. SEEK Limited was incorporated in 1997 and is headquartered in Melbourne, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SLD.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