-
1 Comment
Reco International Group Inc is currently in a long term uptrend where the price is trading 15.7% above its 200 day moving average.
From a valuation standpoint, the stock is 99.1% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.3.
Reco International Group Inc's total revenue sank by 17.7% to $237K since the same quarter in the previous year.
Its net income has increased by 20.9% to $-231K since the same quarter in the previous year.
Finally, its free cash flow grew by 89.2% to $107K since the same quarter in the previous year.
Based on the above factors, Reco International Group Inc gets an overall score of 4/5.
Industry | Engineering & Construction |
---|---|
Sector | Industrials |
ISIN | CA75622R1001 |
CurrencyCode | CAD |
Exchange | V |
Beta | 1.14 |
---|---|
Dividend Yield | 0.0% |
Target Price | None |
PE Ratio | None |
Market Cap | 496K |
Reco International Group Inc., together with its subsidiaries, engages in the commercial and residential construction business in British Columbia. The company's services include project management, pre-design and build, interior design and build, tenant improvements, general contracting, construction set of drawings, site measurement, millwork design, CAD drawings, space planning, 3D renderings, finishing work and upholstery, furniture layout and specifications, and procurement. Its services cover retail and supermarket, commercial and institutional, food services, schools, hospitals, and government services projects. The company was incorporated in 1999 and is headquartered in Richmond, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for RGI.V 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