Phoenix Spree Deutschland Limited (PSDL) Fair Value & Analysis
Real Estate · GB · Market cap 157M GBX
Fair value as of: Jun 26, 2026
Analysis
Phoenix Spree Deutschland Limited (PSDL) currently trades at p1.68, while our model-based Fair Value estimate is p0.7600 — implying the stock looks roughly 54.6% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Phoenix Spree Deutschland Limited is a public limited company incorporated in Jersey, Channel Islands under the Companies (Jersey) Law 1991 (as amended). The Company has a listing on the Official List of the Financial Conduct Authority and was originally admitted to the premium segment of the Main Market of the London Stock Exchange on 15 June 2015. Following shareholder approval at the EGM of the Company held on 12 March 2025 (the 2025 EGM), the Group has new objective to realise the value of its existing assets through a carefully managed Portfolio realisation, resulting in a managed sell down of firm portfolio over time, with a view to returning available cash to shareholders. The Group is primarily invested in the residential market in Berlin, supplemented with selective investments in commercial property. The majority of commercial property within the Portfolio is located within residential and mixed-use properties. Phoenix Spree Deutschland Limited was incorporated in 2007 in …
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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.