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Investis Holding (IREN) Fair Value & Analysis

Real Estate · CH · Market cap CHF 2.0B

PriceCHF 150.00
Fair ValueCHF 40.66
Upside-72.9%
Quality95/100
Evidence: High Range CHF 30.50 – CHF 59.09

Fair value as of: Jun 25, 2026

Analysis

Investis Holding (IREN) currently trades at CHF 150.00, while our model-based Fair Value estimate is CHF 40.66 — implying the stock looks roughly 72.9% 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

Investis Holding SA operates as a real estate company in Switzerland. It owns, manages, and rents residential properties, such as mid-range apartments; residential properties and commercial properties. The company was founded in 1994 and is based in Zurich, Switzerland.

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Frequently asked questions

Is Investis Holding (IREN) undervalued?
As of Jun 25, 2026, our model estimates a fair value of CHF 40.66 versus a price of CHF 150.00 — about −73% (overvalued). Model-based estimate, not financial advice.
What is the fair value of IREN?
Our 21-model fair value for Investis Holding is CHF 40.66 (as of Jun 25, 2026), built from audited fundamentals. The current price is CHF 150.00.
What is the quality score of IREN?
Investis Holding has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.