-
1 Comment
Credit Intelligence Limited is currently in a long term downtrend where the price is trading 44.4% below its 200 day moving average.
From a valuation standpoint, the stock is 98.4% cheaper than other stocks from the Industrials sector with a price to sales ratio of 2.0.
Credit Intelligence Limited's total revenue rose by 21.3% to $7M since the same quarter in the previous year.
Its net income has increased by 25.6% to $2M since the same quarter in the previous year.
Finally, its free cash flow fell by 119.3% to $-191K since the same quarter in the previous year.
Based on the above factors, Credit Intelligence Limited gets an overall score of 3/5.
Sector | Industrials |
---|---|
Industry | Specialty Business Services |
Exchange | AU |
CurrencyCode | AUD |
ISIN | AU0000013518 |
Target Price | None |
---|---|
Market Cap | 10M |
Beta | 0.24 |
PE Ratio | None |
Dividend Yield | None |
Credit Intelligence Limited provides debt restructuring and personal insolvency management services in Australia, Hong Kong, and Singapore. The company operates through three segments: Debt Solution and Finance Service; Debt Restructuring, Personal Insolvency, and BNPL Service; and Credit Financing. Its services include bankruptcy administration, and individual voluntary arrangement proposal consultancy and implementation, as well as credit funding for corporates and individuals. The company also provides debt solution services, as well as debt negotiation and mortgage services; and buy now pay later services. Credit Intelligence Limited is based in Perth, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CI1.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