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Arbonia AG (ARBN) Fair Value & Analysis

Industrials · CH · Market cap CHF 287M

PriceCHF 3.67
Fair ValueCHF 6.60
Upside+80.1%
Quality95/100
Evidence: Low Range CHF 4.40 – CHF 8.80

Fair value as of: Jun 25, 2026

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Analysis

Arbonia AG (ARBN) currently trades at CHF 3.67, while our model-based Fair Value estimate is CHF 6.60 — implying the stock looks roughly 80.1% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low) — always confirm before acting.

About the company

Arbonia AG engages in the supply of interior doors crafted from wood, glass, and metal in Switzerland, Germany, Spain, and internationally. The company offers interior doors, functional doors, digital locking systems, loft doors, partition wall systems, shower doors and cubicles, and handles. It also provides construction glass, shower enclosures, frames, and wall systems. The company was formerly known as AFG Arbonia-Forster-Holding AG and changed its name to Arbonia AG in December 2016. Arbonia AG was founded in 1874 and is based in Arbon, Switzerland.

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Frequently asked questions

Is Arbonia AG (ARBN) undervalued?
As of Jun 25, 2026, our model estimates a fair value of CHF 6.60 versus a price of CHF 3.67 — about +80% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ARBN?
Our 21-model fair value for Arbonia AG is CHF 6.60 (as of Jun 25, 2026), built from audited fundamentals. The current price is CHF 3.67.
What is the quality score of ARBN?
Arbonia 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.