Major Development Public Company (MJD) Fair Value & Analysis
Real Estate · TH · Market cap 258M THB
Fair value as of: Jun 26, 2026
Analysis
Major Development Public Company (MJD) currently trades at 0.3100 THB, while our model-based Fair Value estimate is 0.7800 THB — implying the stock looks roughly 151.6% 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: low) — always confirm before acting.
About the company
Major Development Public Company Limited, together with its subsidiaries, engages in the development and sale of properties in Thailand. The company operates through three segments: Property Development, Hotel Business, and Rental and Service Business. It develops and sells land, houses, and residential condominium units. The company is also involved in the hotel business; office building space rental and service; and real estate agency, representative, and advisory business. In addition, it provides organizational development and management consulting services; and accommodates health business. Major Development Public Company Limited was founded in 1999 and is headquartered in Bangkok, Thailand.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Major Development Public Company (MJD) undervalued?
What is the fair value of MJD?
What is the quality score of MJD?
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.