-
1 Comment
The Unilever Group is currently in a long term downtrend where the price is trading 95.6% below its 200 day moving average.
From a valuation standpoint, the stock is 97.7% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 2.6.
Based on the above factors, The Unilever Group gets an overall score of 1/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | None |
Sector | Consumer Defensive |
Industry | Household & Personal Products |
Target Price | None |
---|---|
Beta | 0.1 |
Market Cap | 133B |
PE Ratio | 22.44 |
Dividend Yield | 3.2% |
The Unilever Group, together with its subsidiaries, operates in the fast-moving consumer goods industry worldwide. It operates through three segments: Beauty & Personal Care, Foods & Refreshment, and Home Care. The Beauty & Personal Care segment offers skin care and hair care products, deodorants, and skin cleansing products under the Axe, Clear, Dove, Lifebuoy, Lux, Pond's, Rexona, Signal, Suave, Sunsilk, TRESemmé, and Vaseline brands. The Foods & Refreshment segment offers soups, bouillons, seasonings, sauces, mayonnaise, ketchup, ice cream, and tea categories. This segment offers its products under the Ben & Jerry's, Breyers, Brooke Bond, Heart (Wall's), Hellmann's, Knorr, Lipton, Magnum, Pukka, Sir Kensington's, and Unilever Food Solutions brands. The Home Care segment offers fabric solutions, home care products, and hygiene products under the Cif, Dirt is Good, Omo, Persil, Domestos, Seventh Generation, and Sunlight brands. The company was founded in 1930 and is headquartered in Rotterdam, the Netherlands.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for UNIN.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