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Varia US Properties AG (VARNF) Fair Value & Analysis

Real Estate · US · Market cap $246M

Price$24.25
Fair Value$24.63
Upside+1.6%
Quality95/100
Evidence: Medium Range $4.93 – $44.64

Fair value as of: Jun 26, 2026

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Analysis

Varia US Properties AG (VARNF) currently trades at $24.25, while our model-based Fair Value estimate is $24.63 — implying the stock looks roughly 1.6% 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: medium) — always confirm before acting.

About the company

Varia US Properties AG, a real estate investment company, acquires, holds, and sells properties in the United States. The company's portfolio comprises low-moderate income and workforce multifamily housing properties. Varia US Properties AG was founded in 2015 and is based in Zug, Switzerland.

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Frequently asked questions

Is Varia US Properties AG (VARNF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $24.63 versus a price of $24.25 — about +2% (undervalued). Model-based estimate, not financial advice.
What is the fair value of VARNF?
Our 21-model fair value for Varia US Properties AG is $24.63 (as of Jun 26, 2026), built from audited fundamentals. The current price is $24.25.
What is the quality score of VARNF?
Varia US Properties AG 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.