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MBH Corporation (MBHCF) Fair Value & Analysis

Real Estate · US · Market cap $6.7M

Price$1.00
Fair Value$1.36
Upside+36.5%
Quality89/100
Evidence: Medium Range $0.7861 – $1.36

Fair value as of: Jun 26, 2026

Analysis

MBH Corporation (MBHCF) currently trades at $1.00, while our model-based Fair Value estimate is $1.36 — implying the stock looks roughly 36.5% undervalued today. We read business quality at 89/100 (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

MBH Corporation PLC is in the process of liquidation of its remaining assets. Previously, the company was engaged in the education, construction service, and leisure sectors in the United Kingdom, Oceania, Asia, and North America. The company was incorporated in 2016 and is based in London, the United Kingdom.

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Frequently asked questions

Is MBH Corporation (MBHCF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $1.36 versus a price of $1.00 — about +36% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MBHCF?
Our 21-model fair value for MBH Corporation is $1.36 (as of Jun 26, 2026), built from audited fundamentals. The current price is $1.00.
What is the quality score of MBHCF?
MBH Corporation 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.