-
1 Comment
Fabege AB (publ) is currently in a long term uptrend where the price is trading 16.0% above its 200 day moving average.
From a valuation standpoint, the stock is 110.5% more expensive than other stocks from the Real Estate sector with a price to sales ratio of 13.6.
Fabege AB (publ)'s total revenue sank by 2.9% to $703M since the same quarter in the previous year.
Its net income has dropped by 58.7% to $1B since the same quarter in the previous year.
Finally, its free cash flow fell by 106.8% to $-30M since the same quarter in the previous year.
Based on the above factors, Fabege AB (publ) gets an overall score of 1/5.
| ISIN | SE0011166974 |
|---|---|
| Exchange | F |
| CurrencyCode | EUR |
| Sector | Real Estate |
| Industry | Real Estate Services |
| PE Ratio | None |
|---|---|
| Target Price | None |
| Dividend Yield | 0.0% |
| Beta | 1.4 |
| Market Cap | 2B |
Fabege AB (publ), a property company, owns, develops, and manages commercial properties in Sweden. The company operates through four segments: Property Management, Property Development, Business Development/Transactions, and Residential Development. Its property portfolio comprises office, retail, industrial/warehouse, residential, hotel, and garage properties. The company also engages in residential development; and acts as an urban developer. The company was formerly known as Wihlborgs Fastigheter AB and changed its name to Fabege AB (publ) in December 2005. Fabege AB (publ) was incorporated in 1947 and is headquartered in Solna, Sweden.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for WILC.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