-
1 Comment
Nimble Holdings Company Limited is currently in a long term uptrend where the price is trading 17.3% above its 200 day moving average.
From a valuation standpoint, the stock is 367.8% more expensive than other stocks from the Technology sector with a price to sales ratio of 16.2.
Nimble Holdings Company Limited's total revenue sank by 33.9% to $78M since the same quarter in the previous year.
Its net income has dropped by 155.6% to $-23M since the same quarter in the previous year.
Finally, its free cash flow grew by 260.0% to $4M since the same quarter in the previous year.
Based on the above factors, Nimble Holdings Company Limited gets an overall score of 2/5.
| Exchange | HK |
|---|---|
| CurrencyCode | HKD |
| ISIN | BMG652161065 |
| Sector | Real Estate |
| Industry | Real Estate - Development |
| Target Price | None |
|---|---|
| PE Ratio | 31.5 |
| Beta | -0.24 |
| Market Cap | 2B |
| Dividend Yield | None |
Nimble Holdings Company Limited, an investment holding company, engages in the trading of household appliances, wires, and cables in the People's Republic of China and the United States. The company operates through PRC Property Development, Emerson, and PRC Household Appliances segments. It is also involved in the provision of IT system development and related services; property development and operation; and licensing businesses, as well as provides management services. The company was formerly known as The Grande Holdings Limited and changed its name to Nimble Holdings Company Limited in February 2018. The company is based in Tsuen Wan, Hong Kong. Nimble Holdings Company Limited is a subsidiary of Wealth Warrior Global Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0186.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
