-
1 Comment
Zwack Unicum Nyrt is currently in a long term uptrend where the price is trading 247.2% above its 200 day moving average.
From a valuation standpoint, the stock is 97.9% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 2.4.
Zwack Unicum Nyrt's total revenue sank by 3.3% to $5B since the same quarter in the previous year.
Its net income has dropped by 8.2% to $1B since the same quarter in the previous year.
Finally, its free cash flow grew by 51.8% to $2B since the same quarter in the previous year.
Based on the above factors, Zwack Unicum Nyrt gets an overall score of 3/5.
Industry | Beverages - Wineries & Distilleries |
---|---|
Exchange | F |
CurrencyCode | EUR |
ISIN | HU0000074844 |
Sector | Consumer Defensive |
Beta | 0.02 |
---|---|
Market Cap | 150M |
PE Ratio | 19.22 |
Target Price | None |
Dividend Yield | 4.8% |
Zwack Unicum Nyrt. manufactures and sells alcoholic beverages in Hungary, Europe, and internationally. It offers its products under the UNICUM, FÜTYÜLOS, VILMOS, ST. HUBERTUS, KALINKA, KALUMBA, LANCHID, ZWACK SANDOR NEMES PALINKA, ZWACK MAXIMILLIAN, KOSHER, HIROS, PORTORICO, and ZIB brands; and distributes international brands, including BAILEYS, BLACK VELVET, BULLEIT, CAOL ILA, CAPTAIN MORGAN, CIROC, EVIAN, GORDON'S, JOHNIE WALKER, THE SINGLETON, SMIRNOFF, TALISKER, TANQUERAY, and ron ZACAPA. The company was founded in 1989 and is based in Budapest, Hungary. Zwack Unicum Nyrt. operates as a subsidiary of Peter Zwack & Consorten HAG.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ZWC1.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