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Mobimo Holding (MOBN) Fair Value & Analysis

Real Estate · CH · Market cap CHF 2.6B

PriceCHF 344.00
Fair ValueCHF 187.20
Upside-45.6%
Quality95/100
Evidence: High Range CHF 187.20 – CHF 298.34

Analysis

Mobimo Holding (MOBN) currently trades at CHF 344.00, while our model-based Fair Value estimate is CHF 187.20 — implying the stock looks roughly 45.6% 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: high).

About the company

Mobimo Holding AG, together with its subsidiaries, operates as a real estate company in Switzerland. It operates in two segments, Real Estate and Development. The Real Estate segment engages in the portfolio management; purchase and sale of investment properties; initial letting and reletting of investment properties; sale of condominium; and property management, such as tasks and services of site management, property management, and facility management. The Development segment is involved in the development of investment properties, construction projects for third-party investors, and condominiums; acquisition of sites and building plots for development activities; construction projects; monitoring construction activity; and management of quality assurance process during the construction phase. The company was founded in 1999 and is headquartered in Lucerne, Switzerland.

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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.