Fairvalue-Calculator Fairvalue-Calculator
EN DE

CleanBnB S.p.A (CBB) Fair Value & Analysis

Real Estate · IT · Market cap €6.0M

Price€0.7060
Fair Value€0.2700
Upside-61.8%
Quality95/100
Evidence: High Range €0.2200 – €0.3800

Fair value as of: Jun 26, 2026

Analysis

CleanBnB S.p.A (CBB) currently trades at €0.7060, while our model-based Fair Value estimate is €0.2700 — implying the stock looks roughly 61.8% 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

CleanBnB S.p.A. develops, produces, and manages software and data management solutions for real estate management sector. The company manages apartments and holiday homes for short-term rentals. Its services include reservation, property, guest, and bureaucratic management, as well as cleaning and linen management services. CleanBnB S.p.A. was founded in 2015 and is headquartered in Milan, Italy.

Open the full interactive analysis →

Similar stocks

Vingroup Joint Stock Company (VIC) -85% CBRE Group (CBRE) -36% Plaza S.A (MALLPLAZA) +74% SAGAB (SAGAB) -25% SAGAA (SAGAA) -52% SAGAD (SAGAD) -48%

Frequently asked questions

Is CleanBnB S.p.A (CBB) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €0.2700 versus a price of €0.7060 — about −62% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CBB?
Our 21-model fair value for CleanBnB S.p.A is €0.2700 (as of Jun 26, 2026), built from audited fundamentals. The current price is €0.7060.
What is the quality score of CBB?
CleanBnB S.p.A 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.