Vonovia SE (VNNVF) Fair Value & Analysis
Real Estate · US · Market cap $21.2B
Analysis
Vonovia SE (VNNVF) currently trades at $25.00, while our model-based Fair Value estimate is $43.36 — implying the stock looks roughly 73.4% undervalued today. We read business quality at 88/100 (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: medium) — always confirm before acting.
About the company
Vonovia SE operates as an integrated residential real estate company in Europe. The company operates through Rental, Value-Add, Recurring Sales, and Development segments. It offers property management services; property-related services; and value-added services, including maintenance and modernization of properties, craftsmen and residential environment organization, multimedia, energy supply, metering, condominium administration, and insurance services. The company is also involved in the sale of individual condominiums and single-family houses; and project development activities to build new homes. In addition, it engages in construction of owner-occupied and rented apartments; sale of projects to investors; and construction of new properties on existing land held in the portfolio. The company was formerly known as Deutsche Annington Immobilien SE and changed its name to Vonovia SE in August 2015. Vonovia SE was founded in 1998 and incorporated in October 10th, 2017 is headquarte…
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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.