-
1 Comment
CH. Karnchang Public Company Limited is currently in a long term uptrend where the price is trading 5.2% above its 200 day moving average.
From a valuation standpoint, the stock is 88.5% cheaper than other stocks from the Industrials sector with a price to sales ratio of 1.8.
CH. Karnchang Public Company Limited's total revenue sank by 31.5% to $4B since the same quarter in the previous year.
Its net income has dropped by 143.9% to $-112M since the same quarter in the previous year.
Finally, its free cash flow fell by 3269.1% to $-2B since the same quarter in the previous year.
Based on the above factors, CH. Karnchang Public Company Limited gets an overall score of 2/5.
| Sector | Industrials |
|---|---|
| Industry | Engineering & Construction |
| Exchange | F |
| CurrencyCode | EUR |
| ISIN | TH0530010R14 |
| Market Cap | 621M |
|---|---|
| Beta | 0.36 |
| Target Price | None |
| PE Ratio | 16.9 |
| Dividend Yield | 2.3% |
CH. Karnchang Public Company Limited, together with its subsidiaries, provides construction services in Thailand and the Lao People's Democratic Republic. It operates through Construction and Related Service; and Investment in Infrastructure Business segments. The company engages in the construction of mass rapid transit systems, airports, roads and expressways, energy projects, water supply and harbor projects, and buildings. It also invests in infrastructure project development business; and sells construction materials. The company serves government agencies and private customers. CH. Karnchang Public Company Limited was founded in 1972 and is based in Bangkok, Thailand.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for NYVC.F 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
