-
1 Comment
Cupid Limited is currently in a long term uptrend where the price is trading 8.0% above its 200 day moving average.
From a valuation standpoint, the stock is 39.0% cheaper than other stocks from the Consumer Defensive sector with a price to sales ratio of 2.1.
Cupid Limited's total revenue rose by 8.8% to $467M since the same quarter in the previous year.
Its net income has dropped by 6.9% to $95M since the same quarter in the previous year.
Finally, its free cash flow grew by 115.6% to $205M since the same quarter in the previous year.
Based on the above factors, Cupid Limited gets an overall score of 4/5.
| Exchange | NSE |
|---|---|
| CurrencyCode | INR |
| ISIN | INE509F01029 |
| Industry | Household & Personal Products |
| Sector | Consumer Defensive |
| PE Ratio | 135.95 |
|---|---|
| Target Price | None |
| Beta | 0.05 |
| Market Cap | 23B |
| Dividend Yield | None |
Cupid Limited designs, manufactures, markets, and exports male and female condoms in India. The company offers water based lubricant jellies; in vitro diagnostic kits, including rapid diagnostic, viral transport medium, typhoid antibody, syphilis antibody, HIV 1 and 2 kit antibody, dengue IgG/IgM Antibody, malaria Pf-Pv and Pf-PAN antigen, hepatitis B (HbsAg) antigen, hepatitis C (HCV) antibody, pregnancy hCG detection, LH ovulation rapid, and dengue NS1 test; and deodorant and pocket perfumes. It also exports its products to countries in Africa, Europe, Ocenia, Asia, North America, and South America. The company was formerly known as Cupid Condom Limited and changed its name to Cupid Limited in January 2006. The company was incorporated in 1993 and is based in Nashik, India.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CUPID.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
