-
1 Comment
Aquila Services Group plc is currently in a long term uptrend where the price is trading 12.9% above its 200 day moving average.
From a valuation standpoint, the stock is 97.2% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.5.
Aquila Services Group plc's total revenue sank by 0.0% to $2M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $97K since the same quarter in the previous year.
Finally, its free cash flow grew by 355.7% to $162K since the same quarter in the previous year.
Based on the above factors, Aquila Services Group plc gets an overall score of 3/5.
Industry | Consulting Services |
---|---|
ISIN | GB00BPYP3Q26 |
Sector | Industrials |
Exchange | LSE |
CurrencyCode | GBP |
Target Price | None |
---|---|
Beta | 0.37 |
Market Cap | 3M |
PE Ratio | 6.5 |
Dividend Yield | 6.5% |
Aquila Services Group plc, together with its subsidiaries, provides specialist housing, sport, charity, and educational and treasury management consultancy services in the United Kingdom, Europe, and internationally. It operates through two segments, Consultancy and Treasury Management Services. The company advises on various aspects of the development and management of affordable housing; treasury policy, debt, capital market finance, banking, and card merchant services. It serves housing associations, local authorities, government agencies, multi academy trusts, and other non-profit organizations. The company was incorporated in 2014 and is based in London, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AQSG.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