-
1 Comment
The Parkmead Group plc is currently in a long term uptrend where the price is trading 32.8% above its 200 day moving average.
From a valuation standpoint, the stock is 98.4% cheaper than other stocks from the Energy sector with a price to sales ratio of 11.7.
Finally, its free cash flow grew by 56.3% to $-366K since the same quarter in the previous year.
Based on the above factors, The Parkmead Group plc gets an overall score of 3/5.
ISIN | GB00BGCYZL73 |
---|---|
Sector | Energy |
Exchange | LSE |
CurrencyCode | GBP |
Industry | Oil & Gas E&P |
Beta | 0.97 |
---|---|
Market Cap | 16M |
PE Ratio | 7.38 |
Target Price | 66.5 |
Dividend Yield | None |
The Parkmead Group plc, an independent oil and gas company, engages in the exploration and production of oil and gas properties in Europe. It operates through three segments: Oil and Gas Exploration and Production; Energy Economics; and Renewables. The Oil and Gas Exploration and Production segment invests in oil and gas exploration and production assets. The Energy Economics segment provides energy sector economics, valuation, and benchmarking, advising on energy policies and fiscal matters, undertaking economic evaluations, supply benchmarking services, and training. The Renewables segment is involved in mixed farming activities, as well as renewable energy opportunities. It produces from three gas fields in the Netherlands; and holds interests in a total of 16 exploration and production blocks. The company was incorporated in 2000 and is headquartered in Aberdeen, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for PMG.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