Nextensa NV (NEXTA) Fair Value & Analysis
Real Estate · BE · Market cap €483M
Analysis
Nextensa NV (NEXTA) currently trades at €47.31, while our model-based Fair Value estimate is €55.92 — implying the stock looks roughly 18.2% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Nextensa NV/SA is a leading real estate investor and developer creating sustainable and vibrant spaces for living, working and shopping, with a focus on generating value for all stakeholders. It was established as a regulated Belgian real estate company under the name Leasinvest Real Estate before becoming, in 2021, a mixed real estate investor and developer following a merger with Extensa. Nextensa holds a unique market position by combining recurring rental income from real estate investments with the added-value potential of development activities in which authenticity and sustainability are paramount. Nextensa manages a high-quality investment portfolio with a focus on office and retail. In addition, the company is committed to sustainable urban development, realising innovative and forward-looking projects that contribute to a pleasant and mixed living environment. One of its most prominent developments is the redevelopment of the iconic Tour & Taxis site in Brussels, an ambiti…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.