-
1 Comment
Freelancer Limited is currently in a long term uptrend where the price is trading 64.6% above its 200 day moving average.
From a valuation standpoint, the stock is 96.2% cheaper than other stocks from the Industrials sector with a price to sales ratio of 4.9.
Freelancer Limited's total revenue sank by 0.2% to $29M since the same quarter in the previous year.
Its net income has increased by 128.2% to $493K since the same quarter in the previous year.
Finally, its free cash flow grew by 178.2% to $784K since the same quarter in the previous year.
Based on the above factors, Freelancer Limited gets an overall score of 4/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
ISIN | AU000000FLN2 |
Sector | Communication Services |
Industry | Internet Content & Information |
Market Cap | 95M |
---|---|
Target Price | 0.61 |
PE Ratio | None |
Beta | 0.65 |
Dividend Yield | None |
Freelancer Limited operates a freelancing and crowdsourcing marketplace in Australia. The company operates in two segments, Online Marketplace and Online Payment Services. Its marketplace allows employers to hire freelancers in the field of software development, writing, data entry and design, engineering, sciences, sales and marketing, and accounting and legal services. The company connects employers and freelancers from approximately 247 countries, regions, and territories. It also provides escrow payment services; global fleet/field services; and subscription-based freight classified services under the Loadshift brand. The company was founded in 2009 and is based in Sydney, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for FLN.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