-
1 Comment
Global Offshore Services Limited is currently in a long term uptrend where the price is trading 73.4% above its 200 day moving average.
From a valuation standpoint, the stock is 97.6% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.2.
Global Offshore Services Limited's total revenue sank by 32.7% to $201M since the same quarter in the previous year.
Its net income has increased by 661.5% to $751M since the same quarter in the previous year.
Finally, its free cash flow grew by 119.8% to $162M since the same quarter in the previous year.
Based on the above factors, Global Offshore Services Limited gets an overall score of 4/5.
Exchange | NSE |
---|---|
CurrencyCode | INR |
ISIN | INE446C01013 |
Sector | Services |
Industry | Shipping |
Market Cap | 160M |
---|---|
PE Ratio | None |
Dividend Yield | 0.0% |
Target Price | None |
Beta | 0.61 |
Global Offshore Services Limited engages in the charter of offshore support vessels in India, the North Sea, Brazil, and West Africa. Its vessels provide support services for oil and gas exploration activities, including transporting personnel to rigs/platforms from onshore bases; delivering cargo/material to rigs/platforms; anchor handling; and towing of rigs, as well as provides support services for offshore/underwater construction projects. The company was formerly known as Garware Offshore Services Limited and changed its name to Global Offshore Services Limited in March 2011. Global Offshore Services Limited was incorporated in 1976 and is based in Mumbai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for GLOBOFFS.NSE 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