-
1 Comment
Electra Private Equity Plc is currently in a long term uptrend where the price is trading 64.0% above its 200 day moving average.
From a valuation standpoint, the stock is 97.5% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.3.
Finally, its free cash flow fell by 21.1% to $8M since the same quarter in the previous year.
Based on the above factors, Electra Private Equity Plc gets an overall score of 2/5.
Exchange | LSE |
---|---|
CurrencyCode | GBP |
ISIN | GB0003085445 |
Sector | Internet & Direct Marketing Retail |
Industry | Consumer Discretionary |
PE Ratio | 0.37 |
---|---|
Target Price | 107 |
Market Cap | 27M |
Dividend Yield | 1.7% |
Beta | 2.0 |
Electra Private Equity PLC specializes in growth capital, buyouts, recapitalization, control buyouts, PIPEs, middle market investments. It invests across all sectors and is not sector specific. The fund seeks to invest in companies based in the Continental Europe, United States and principally in Western Europe, with the majority of investments made in the United Kingdom. It typically invests between £40 million ($49.79 million) and £150 million ($180.73 million). It also co-invests £30 million ($37.35 million) to £100 million ($124.49 million) in minority positions in UK or International companies, alongside founders, other private equity firms, corporates or the public markets. It makes both minority and majority investments. The fund structures its investments through equity, senior equity, and convertible and mezzanine debt. It invests directly from its balance sheet.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ELTA.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