-
1 Comment
Zignago Vetro S.p.A is currently in a long term uptrend where the price is trading 13.6% above its 200 day moving average.
From a valuation standpoint, the stock is 92.4% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 4.7.
Zignago Vetro S.p.A's total revenue sank by 5.4% to $77M since the same quarter in the previous year.
Its net income has increased by 22.2% to $21M since the same quarter in the previous year.
Finally, its free cash flow fell by 133.0% to $-2M since the same quarter in the previous year.
Based on the above factors, Zignago Vetro S.p.A gets an overall score of 3/5.
| Sector | Consumer Cyclical |
|---|---|
| Exchange | F |
| CurrencyCode | EUR |
| ISIN | IT0004171440 |
| Industry | Packaging & Containers |
| Market Cap | 739M |
|---|---|
| Beta | 0.89 |
| PE Ratio | 17.66 |
| Target Price | None |
| Dividend Yield | 5.4% |
Zignago Vetro S.p.A., together with its subsidiaries, produces, markets, and sells hollow glass containers in Italy, rest of Europe, and internationally. It offers glass containers for perfumes, food and beverage, and cosmetics markets; and specialty containers for wines, spirits, vinegar, and olive oils. The company is also involved in the treatment and sale of recycled glass; production and regeneration of glass container molds; and glass bottles sales promotion activities. In addition, it processes raw glass into secondary raw material. The company was founded in 1950 and is headquartered in Fossalta Di Portogruaro, Italy. Zignago Vetro S.p.A. is a subsidiary of Zignago Holding S.p.A.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ZVB.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
