-
Exchange | WAR |
---|---|
CurrencyCode | PLN |
ISIN | NL0010391108 |
Sector | Technology |
Industry | Solar |
Market Cap | 156M |
---|---|
Beta | 0.52 |
PE Ratio | None |
Target Price | 4.6015 |
Dividend Yield | None |
Photon Energy N.V., through its subsidiaries, builds and optimizes solar power plants and energy storage systems in the Czech Republic, Hungary, Poland, Australia, Romania, the Slovak Republic, Germany, New Zealand, and internationally. It operates through Engineering; Technology; Investments; Operations & Maintenance; New Energy; and Other segments. The company invests in and generates electricity through photovoltaic power plants, which has a combined capacity of 129.6 MWp. It also engages in the development, engineering, construction, and installation of turnkey photovoltaic systems; operation, maintenance, and supervision of photovoltaic power plants; and provision of inverter cardio, and monitoring and control services. In addition, the company engages in the wholesale, import, and export of FVE components; and project development, water technology, and other activities. Further, it provides capacity market, energy trading, and real-time asset aggregator services; asset management and battery energy storage system optimization; energy flexibility monetization, energy offtake, and clean energy supply and power purchase agreement solutions; water and wastewater treatment, water body management, water well, and consulting services; and PFAS management and environmental remediation solutions. Photon Energy N.V. was founded in 2008 and is headquartered in Amsterdam, the Netherlands.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for PEN.WAR 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