-
1 Comment
Quintegra Solutions Limited is currently in a long term uptrend where the price is trading 25.8% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.0.
Quintegra Solutions Limited's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has dropped by 66.7% to $-105K since the same quarter in the previous year.
Finally, its free cash flow fell by 60.4% to $-635K since the same quarter in the previous year.
Based on the above factors, Quintegra Solutions Limited gets an overall score of 2/5.
| Exchange | NSE |
|---|---|
| CurrencyCode | INR |
| ISIN | INE033B01011 |
| Sector | Technology |
| Industry | Information Technology Services |
| Market Cap | 43M |
|---|---|
| PE Ratio | None |
| Target Price | None |
| Beta | -0.18 |
| Dividend Yield | None |
Quintegra Solutions Limited provides information technology and consulting services in India. The company provides application management, including development, maintenance, migration, and reengineering; product engineering; systems, applications, and products (SAP); testing and validation; and technology consulting services. It offers software solutions for education and training, patient care, hospital management, and non-life insurance industries. The company serves its products to banking and financial, healthcare, education and training, engineering, logistics, and telecom industries the company was incorporated in 1994 and is headquartered in Chennai, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for QUINTEGRA.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
