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Borgosesia S.p.A (BO) Fair Value & Analysis

Consumer Cyclical · IT · Market cap €34.2M

Price€0.7280
Fair Value€1.26
Upside+73.1%
Quality89/100
Evidence: Medium Range €0.9400 – €1.57

Fair value as of: Jun 24, 2026

Analysis

Borgosesia S.p.A (BO) currently trades at €0.7280, while our model-based Fair Value estimate is €1.26 — implying the stock looks roughly 73.1% undervalued today. We read business quality at 89/100 (high quality), in the Consumer Cyclical 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

Borgosesia S.p.A. primarily invests in non-performing and alternative assets. It engages in the investment in real estate and securities, as well as the management of alternative assets on behalf of third-party investors. The company was founded in 1873 and is based in Milan, Italy.

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Frequently asked questions

Is Borgosesia S.p.A (BO) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €1.26 versus a price of €0.7280 — about +73% (undervalued). Model-based estimate, not financial advice.
What is the fair value of BO?
Our 21-model fair value for Borgosesia S.p.A is €1.26 (as of Jun 24, 2026), built from audited fundamentals. The current price is €0.7280.
What is the quality score of BO?
Borgosesia S.p.A has a Quality Score of 89/100, 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.