-
1 Comment
Ellomay Capital Ltd is currently in a long term downtrend where the price is trading 6.9% below its 200 day moving average.
From a valuation standpoint, the stock is 256.8% more expensive than other stocks from the Utilities sector with a price to sales ratio of 34.3.
Ellomay Capital Ltd's total revenue sank by 21.2% to $3M since the same quarter in the previous year.
Its net income has dropped by 101.6% to $-216K since the same quarter in the previous year.
Finally, its free cash flow fell by 46.1% to $-28M since the same quarter in the previous year.
Based on the above factors, Ellomay Capital Ltd gets an overall score of 0/5.
| Sector | Utilities |
|---|---|
| Industry | Utilities - Renewable |
| Exchange | NYSE MKT |
| CurrencyCode | USD |
| ISIN | IL0010826357 |
| Market Cap | 225M |
|---|---|
| Beta | 0.83 |
| PE Ratio | None |
| Target Price | 11.3 |
| Dividend Yield | None |
Ellomay Capital Ltd., together with its subsidiaries, engages in the initiation, development, construction, and production of renewable and clean energy projects in Europe, the United States, and Israel. It owns photovoltaic (PV) plants comprising five PV plants in Spain. The company also engages in the operation of a dual-fuel operated power plant in Ashkelon, Israel; and construction of a hydro power plant in the Manara Cliff, Israel. In addition, it operates anaerobic digestion plants. The company was formerly known as NUR Macroprinters Ltd. and changed its name to Ellomay Capital Ltd. in April 2008. Ellomay Capital Ltd. was incorporated in 1987 and is headquartered in Tel Aviv, Israel.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ELLO 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
