-
1 Comment
COSOL Limited is currently in a long term downtrend where the price is trading 12.6% below its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.0.
Based on the above factors, COSOL Limited gets an overall score of 1/5.
| ISIN | AU0000072498 |
|---|---|
| Exchange | AU |
| CurrencyCode | AUD |
| Industry | Information Technology Services |
| Sector | Technology |
| Beta | 0.63 |
|---|---|
| Market Cap | 111M |
| PE Ratio | 15.25 |
| Target Price | 0.95 |
| Dividend Yield | 3.5% |
COSOL Limited, together with its subsidiaries, provides asset management as a service in the Asia Pacific, North America, Europe, the Middle East, Africa, and internationally. The company asset management advisory and operations; digital asset management, such as enterprise system strategy alignment, performance uplift, data lifecycle integrity and migration, EAM system add-ons, digital asset maintenance, EAM intelligence, and enterprise intelligence services; maintenance scheduling as a service, planning as a service, work management as a service solutions; and managed services, data governance, master data goverance, AI asset lifecycle, and enterprise asset management services, as well as asset management specialist resourcing. It serves natural resources, energy and water, public infrastructure, and government and defence industries. The company was incorporated in 2019 and is headquartered in Brisbane, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for COS.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
