-
1 Comment
Kyckr Limited is currently in a long term downtrend where the price is trading 30.2% below its 200 day moving average.
From a valuation standpoint, the stock is 90.1% cheaper than other stocks from the Technology sector with a price to sales ratio of 7.1.
Kyckr Limited's total revenue rose by 8.8% to $1M since the same quarter in the previous year.
Its net income has dropped by 21.4% to $-3M since the same quarter in the previous year.
Finally, its free cash flow fell by 59.9% to $-1M since the same quarter in the previous year.
Based on the above factors, Kyckr Limited gets an overall score of 2/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
ISIN | AU000000KYK1 |
Sector | Information Technology |
Industry | Software |
Market Cap | 43M |
---|---|
PE Ratio | None |
Target Price | None |
Beta | 1.58 |
Dividend Yield | 0.0% |
Kyckr Limited provides data and technology solutions in Australia and Ireland. The company provides structured profiles, and original registry documents and filings; Company Watch that automates the detection of material changes to company data without manual intervention; Registry Portal, which offers authoritative company information and registry filings; and UBO Verify for identifying beneficial owners and the ownership structure. It also provides solutions for onboarding workflow; entity verification solutions; and Data Cleanse solution, which automates the cleansing of outdated customer records. Kyckr Limited was incorporated in 2015 and is based in Sydney, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KYK.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