-
1 Comment
Gillanders Arbuthnot and Company Limited is currently in a long term uptrend where the price is trading 35.3% 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.
Gillanders Arbuthnot and Company Limited's total revenue sank by 36.4% to $1B since the same quarter in the previous year.
Its net income has dropped by 828.4% to $-293M since the same quarter in the previous year.
Finally, its free cash flow grew by 205.9% to $652M since the same quarter in the previous year.
Based on the above factors, Gillanders Arbuthnot and Company Limited gets an overall score of 3/5.
Exchange | NSE |
---|---|
CurrencyCode | INR |
ISIN | INE047B01011 |
Sector | Consumer Defensive |
Industry | Farm Products |
Beta | 0.51 |
---|---|
Market Cap | 3B |
PE Ratio | 5890.0 |
Target Price | None |
Dividend Yield | None |
Gillanders Arbuthnot and Company Limited engages in the textile, engineering, tea, and property businesses in India and internationally. The company's Textile segment manufactures and sells yarns in cotton, acrylic, polyster, viscose, staple, and blends. Its Engineering segment manufactures and sells steel structural, pipes, and equipment; and engages in the designing, supplying, erectioning, and commissioning of projects on turnkey basis. The company's Tea segment manufactures and sells tea. Its Property segment is involved in letting out properties on rent. The company was incorporated in 1935 and is based in Kolkata, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for GILLANDERS.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