-
1 Comment
Tate & Lyle plc is currently in a long term uptrend where the price is trading 6.0% above its 200 day moving average.
From a valuation standpoint, the stock is 99.9% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 1.8.
Tate & Lyle plc's total revenue sank by 0.0% to $738M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $66M since the same quarter in the previous year.
Finally, its free cash flow grew by 9.6% to $92M since the same quarter in the previous year.
Based on the above factors, Tate & Lyle plc gets an overall score of 3/5.
Exchange | LSE |
---|---|
CurrencyCode | GBP |
Sector | Consumer Defensive |
Industry | Packaged Foods |
ISIN | GB00BP92CJ43 |
PE Ratio | 13.96 |
---|---|
Target Price | 772 |
Market Cap | 2B |
Dividend Yield | 3.5% |
Beta | 0.43 |
Tate & Lyle plc, together with its subsidiaries, engages in the provision of ingredients and solutions to the food, beverage, and other industries in North America, Asia, Middle East, Africa, Latin America, and Europe. The company operates through three segments: Food & Beverage Solutions, Sucralose, Primary Products Europe, and Primient. It offers dairy products, soups, sauces, and dressings; bakery products and snacks; texturants; sweeteners, such as high fructose corn syrup and dextrose; industrial starches; acidulants; and corn gluten feed and meal and corn oil. The company was incorporated in 1903 and is headquartered in London, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for TATE.LSE 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