-
1 Comment
Kin Pang Holdings Limited is currently in a long term uptrend where the price is trading 19.1% above its 200 day moving average.
From a valuation standpoint, the stock is 91.1% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.2.
Kin Pang Holdings Limited's total revenue rose by 0.9% to $235M since the same quarter in the previous year.
Its net income has dropped by 72.3% to $3M since the same quarter in the previous year.
Finally, its free cash flow grew by 137.6% to $8M since the same quarter in the previous year.
Based on the above factors, Kin Pang Holdings Limited gets an overall score of 4/5.
| Sector | Industrials |
|---|---|
| Industry | Engineering & Construction |
| Exchange | HK |
| ISIN | KYG527871019 |
| CurrencyCode | HKD |
| Market Cap | 47M |
|---|---|
| PE Ratio | None |
| Target Price | None |
| Beta | -2.05 |
| Dividend Yield | None |
Kin Pang Holdings Limited, an investment holding company, provides building and ancillary services in Macau and Hong Kong. The company is involved in the foundation associated works, hard landscaping, alteration and addition works, road works, water pipe works, electrical and mechanical works, and other ancillary building works. It also engages in the civil engineering business and management of machineries. The company provides its services to hotel and casino resorts, property developers, infrastructures of water supply, and public amenities and utilities. The company was founded in 2006 and is headquartered in Macau. Kin Pang Holdings Limited is a subsidiary of Fortunate Year Investments Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1722.HK 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
