-
1 Comment
Lovisa Holdings Limited is currently in a long term uptrend where the price is trading 28.5% above its 200 day moving average.
From a valuation standpoint, the stock is 133.4% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 7.1.
Lovisa Holdings Limited's total revenue sank by 9.8% to $147M since the same quarter in the previous year.
Its net income has dropped by 26.7% to $20M since the same quarter in the previous year.
Finally, its free cash flow grew by 238.4% to $25M since the same quarter in the previous year.
Based on the above factors, Lovisa Holdings Limited gets an overall score of 2/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
Industry | Specialty Retail |
ISIN | AU000000LOV7 |
Sector | Consumer Cyclical |
Market Cap | 3B |
---|---|
Beta | 1.6 |
PE Ratio | 34.42 |
Target Price | 27.966 |
Dividend Yield | 3.4% |
Lovisa Holdings Limited engages in the retail sale of fashion jewelry and accessories. It designs, develops, sources, and merchandises fashion jewelry and accessories under the Lovisa brand name. The company also retails its products online. It operated its retail and franchise stores in Australia, New Zealand, Singapore, Malaysia, Hong Kong, Taiwan, Vietnam, China, South Africa, Botswana, Namibia, the United Arab Emirates, the United States, Canada, Mexico, the United Kingdom, Spain, France, Luxembourg, Belgium, Germany, the Netherlands, Austria, Switzerland, Poland, Italy, Hungary, Romania, Ireland, South America, and the Middle East. Lovisa Holdings Limited was founded in 2010 and is based in Hawthorn, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for LOV.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