-
1 Comment
Nelly Group AB (publ) is currently in a long term downtrend where the price is trading 40.8% below its 200 day moving average.
From a valuation standpoint, the stock is 99.7% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.2.
Nelly Group AB (publ)'s total revenue sank by 26.2% to $461M since the same quarter in the previous year.
Its net income has increased by 1072.3% to $126M since the same quarter in the previous year.
Finally, its free cash flow fell by 157.5% to $-128M since the same quarter in the previous year.
Based on the above factors, Nelly Group AB (publ) gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | None |
Sector | Consumer Cyclical |
Industry | Internet Retail |
Market Cap | 7M |
---|---|
PE Ratio | 275.67 |
Target Price | None |
Dividend Yield | 0.0% |
Beta | 1.11 |
Nelly Group AB (publ) provides digital commerce and related financial services in the Nordic region and internationally. It operates through three segments: CDON Marketplace, Nelly, and Qliro AB. The company's CDON Marketplace segment conducts operations through the online department store CDON.com, which primarily sells consumer electronics, mobile phones, books, games, media, films, sports and leisure goods, clothing, shoes, furnishings, and toys. Its Nelly segment provides fashion and beauty products for young women through Nelly.com; and for men through NLYMan.com. The company's Qliro Financial Services segment provides financial services to merchants and consumers. The company was formerly known as Qliro Group AB (publ) and changed its name to Nelly Group AB (publ) in November 2020. Nelly Group AB (publ) was founded in 1999 and is headquartered in Stockholm, Sweden.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CD2.F 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