-
1 Comment
Zotefoams plc is currently in a long term uptrend where the price is trading 8.3% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 2.5.
Finally, its free cash flow fell by 91.3% to $246K since the same quarter in the previous year.
Based on the above factors, Zotefoams plc gets an overall score of 2/5.
| Exchange | LSE |
|---|---|
| CurrencyCode | GBP |
| ISIN | GB0009896605 |
| Sector | Basic Materials |
| Industry | Specialty Chemicals |
| Dividend Yield | 1.7% |
|---|---|
| Beta | 1.24 |
| Market Cap | 211M |
| PE Ratio | 9.55 |
| Target Price | 613 |
Zotefoams plc, together with its subsidiaries, manufactures, distributes, and sells foam materials in Europe, the Middle East, Africa, North America, and Asia. The company offers AZOTE, a polyolefin foam under the Plastazote, Evazote, and Supazote brands; various high-performance technical foams manufactured from polyvinylidene fluoride, fluoropolymer, and thermoplastic elastomers under the ZOTEK brand; and Ecozote foams. It also provides T-FIT, an insulated piping solution. In addition, the company manufactures, purchases, and distributes cross-linked block foams. It primarily serves aerospace, automotive, other transport, industrial packaging, medical, footwear, sports and leisure, construction and insulation, and other industries. Zotefoams plc was founded in 1921 and is headquartered in London, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ZTF.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 2026