-
1 Comment
Klépierre SA is currently in a long term uptrend where the price is trading 10.8% above its 200 day moving average.
From a valuation standpoint, the stock is 38.1% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 4.0.
Klépierre SA's total revenue sank by 0.0% to $407M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $78M since the same quarter in the previous year.
Finally, its free cash flow grew by 5.7% to $262M since the same quarter in the previous year.
Based on the above factors, Klépierre SA gets an overall score of 3/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| ISIN | FR0000121964 |
| Sector | Real Estate |
| Industry | REIT - Retail |
| PE Ratio | 7.88 |
|---|---|
| Target Price | None |
| Dividend Yield | 5.7% |
| Beta | 0.95 |
| Market Cap | 9B |
Klepierre is a leading European shopping mall operator focused exclusively on continental Europe. As of June 30, 2025, its portfolio is valued at EUR20.6 billion, comprising large shopping centers across more than 10 countries, attracting over 700 million visitors annually. Headquartered in France, Klepierre is a listed REIT (SIIC) on Euronext Paris, and is part of the CAC Next 20 and EPRA Euro Zone Indexes. It is also included in several sustainability indices, such as CAC SBT 1.5, MSCI Europe ESG Leaders, FTSE4Good, and Euronext Vigeo Europe 120, and is featured on CDP's "A List", reflecting its strong commitment to sustainable development and climate action.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KPR.F 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 2026