-
1 Comment
Mercor S.A. is currently in a long term uptrend where the price is trading 25.2% above its 200 day moving average.
Mercor S.A.'s total revenue sank by 6.4% to $97M since the same quarter in the previous year.
Its net income has increased by 21.9% to $8M since the same quarter in the previous year.
Finally, its free cash flow grew by 54.5% to $23M since the same quarter in the previous year.
Based on the above factors, Mercor S.A. gets an overall score of 3/5.
| ISIN | PLMRCOR00016 |
|---|---|
| Industry | Security & Protection Services |
| Sector | Industrials |
| CurrencyCode | PLN |
| Exchange | WAR |
| Dividend Yield | 3.3% |
|---|---|
| Beta | 0.9 |
| Target Price | None |
| PE Ratio | 7.07 |
| Market Cap | 293M |
Mercor S.A. designs, manufactures, sells, installs, and services passive fire protection systems. The company provides natural smoke exhausting systems comprising smoke exhaust vents and windows, skylights, roof hatches, continuous roof lights, smoke curtains, and control systems; and fire ventilation systems, such as cut-off fire valves, fire dampers, smoke exhaust fans, intake and exhaust fans, control units, overpressure systems for staircases, jet ventilation systems for garages, and explosion-proof technology products. It also offers construction protections, including board, spray, sealing, intumescent coating, and spray acoustical coating systems. The company's products are used in production of halls and warehouses, logistics centers, public buildings, commercial buildings, and residential buildings. Mercor S.A. was founded in 1988 and is headquartered in Gdansk, Poland.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MCR.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 2024
