-
1 Comment
Ingersoll-Rand (India) Limited is currently in a long term uptrend where the price is trading 32.2% above its 200 day moving average.
From a valuation standpoint, the stock is 53.2% cheaper than other stocks from the Industrials sector with a price to sales ratio of 3.9.
Ingersoll-Rand (India) Limited's total revenue sank by 8.7% to $2B since the same quarter in the previous year.
Its net income has dropped by 15.6% to $199M since the same quarter in the previous year.
Finally, its free cash flow fell by 33.6% to $288M since the same quarter in the previous year.
Based on the above factors, Ingersoll-Rand (India) Limited gets an overall score of 2/5.
ISIN | INE177A01018 |
---|---|
Industry | Specialty Industrial Machinery |
Sector | Industrials |
CurrencyCode | INR |
Exchange | NSE |
Dividend Yield | 1.0% |
---|---|
Beta | 0.06 |
Target Price | 613 |
PE Ratio | 57.15 |
Market Cap | 87B |
Ingersoll-Rand (India) Limited manufactures and sells industrial air compressors in India. The company offers reciprocating air-cooled and water-cooled, contact cooled and oil free rotary screw, centrifugal, and engine driven compressors; heatless desiccant, heat of compression, high pressure air, and hydrogen compressors; and cycling and non cycling refrigerated dryers, and desiccant dryers. Ingersoll-Rand (India) Limited sells its products under the Ingersoll Rand, Nash, Thomas, CompAir, and ARO brand names, as well as other brands. The company serves automotive, metal, pharmaceutical, and textile sectors, as well as other various industrial sectors. It also exports its products to the American, Asian, and European countries. The company was incorporated in 1921 and is based in Bengaluru, India. Ingersoll-Rand (India) Limited is a subsidiary of Ingersoll-Rand Industrial US Inc.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for INGERRAND.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 2024