-
1 Comment
archTIS Limited is currently in a long term downtrend where the price is trading 17.5% below its 200 day moving average.
From a valuation standpoint, the stock is 64.7% cheaper than other stocks from the Technology sector with a price to sales ratio of 25.2.
archTIS Limited's total revenue rose by 347.3% to $1M since the same quarter in the previous year.
Its net income has increased by 37.0% to $-1M since the same quarter in the previous year.
Finally, its free cash flow grew by 72.7% to $-338K since the same quarter in the previous year.
Based on the above factors, archTIS Limited gets an overall score of 4/5.
ISIN | AU0000020877 |
---|---|
Industry | Software - Application |
Sector | Technology |
Exchange | AU |
CurrencyCode | AUD |
Beta | 1.23 |
---|---|
Target Price | 0.35 |
Market Cap | 61M |
PE Ratio | None |
Dividend Yield | None |
archTIS Limited engages in the design and development of products, solutions, and services for secure information sharing and collaboration in Australia and internationally. It offers KOJENSI, an accredited classified file sharing and document collaboration software platform for defense, military, and government sectors; data discovery, compliance and protection software for Microsoft 365, SharePoint server, and file sharing applications; NC Encrypt, an Encryption, and HYOK and BYOK key management solutions for Microsoft 365, SharePoint, and file shares; and Trusted Data Integration to integrate, secure, and govern sensitive and classified structured data from multiple sources at scale and speed. archTIS was incorporated in 2006 and is headquartered in Barton, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AR9.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