-
1 Comment
KGHM Polska Miedz S.A is currently in a long term uptrend where the price is trading 2.7% above its 200 day moving average.
From a valuation standpoint, the stock is 99.4% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 1.6.
KGHM Polska Miedz S.A's total revenue rose by 20.5% to $7B since the same quarter in the previous year.
Its net income has increased by 357.6% to $626M since the same quarter in the previous year.
Finally, its free cash flow fell by 105.2% to $-85M since the same quarter in the previous year.
Based on the above factors, KGHM Polska Miedz S.A gets an overall score of 4/5.
Exchange | F |
---|---|
ISIN | PLKGHM000017 |
Sector | Basic Materials |
CurrencyCode | EUR |
Industry | Copper |
Market Cap | 6B |
---|---|
PE Ratio | 9.53 |
Target Price | None |
Beta | 1.45 |
Dividend Yield | None |
KGHM Polska Miedz S.A. engages in the exploration and mining of copper, nickel, precious metals, and non-ferrous metals in Poland and internationally. Its product portfolio includes copper cathodes, concentrate, wire rod and Cu-Ofe, and Cu-Ag wires; silver and gold; molybdenum concentrate; Ore containing copper, nickel and TPM; Oxygen-free copper rod; ETP/OFE nuggets; Molybdenum oxides; ammonium perrhenate, metallic rhenium, and rhenium powder; and lead, sulphuric acid, copper and nickel sulphate, and selenium products, as well as platinum, palladium, and rock salt. It holds interest in Carlota, Lubin, Polkowice-Sieroszowice, Robinson, Rudna, and Sierra Gorda mine divisions. The company was founded in 1961 and is headquartered in Lubin, Poland.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KGHA.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