-
1 Comment
DIT Group Limited is currently in a long term downtrend where the price is trading 17.4% below its 200 day moving average.
From a valuation standpoint, the stock is 43.7% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 3.3.
DIT Group Limited's total revenue sank by 1.3% to $402M since the same quarter in the previous year.
Its net income has dropped by 93.0% to $8M since the same quarter in the previous year.
Finally, its free cash flow grew by 106.6% to $7M since the same quarter in the previous year.
Based on the above factors, DIT Group Limited gets an overall score of 2/5.
| Exchange | HK |
|---|---|
| CurrencyCode | HKD |
| ISIN | BMG2773V2045 |
| Sector | Real Estate |
| Industry | Real Estate - Development |
| Beta | 0.95 |
|---|---|
| Market Cap | 208M |
| PE Ratio | None |
| Target Price | 1.8 |
| Dividend Yield | None |
DIT Group Limited, together with its subsidiaries, engages in the provision of prefabricated construction work in Hong Kong and mainland China. The company also provides smart decoration and landscaping, rental, and consulting services, as well as grants licenses. It also engages in the manufacture of prefabricated concrete; and sale of prefabricated construction equipment. In addition, it is involved in the investment of commercial properties located in Shandong; and development of properties. The company was formerly known as China Minsheng DIT Group Limited and changed its name to DIT Group Limited in November 2019. DIT Group Limited was incorporated in 1991 and is headquartered in Kowloon, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0726.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
