SJ Group (SJS) Fair Value & Analysis
Real Estate · VN · Market cap 14.5T VND
Fair value as of: Jun 25, 2026
Analysis
SJ Group (SJS) currently trades at 48,000 VND, while our model-based Fair Value estimate is 20,649 VND — implying the stock looks roughly 57.0% 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
SJ Group Joint Stock Company engages in the investment, development, and trading in real estate properties in Vietnam. The company provides real estate services; and rendering services for housing, urban areas, and industrial park services. It offers management and investment consulting; sports, entertainment, and recreational services of sports facilities, amusement parks, and theme parks; advertising and real estate management; and project design consulting, project appraisal consulting, report preparation consulting, construction supervision consulting, and project management consulting services. In addition, the company engages in the preparation, appraisal, and implementation of construction investment projects; production of building materials from bricks, sand, cement, and gypsum; wholesale and retail of autoclaved aerated concrete bricks, building materials, and interior equipment; and wholesale of machines, equipment, and machine parts. The company was formerly known as Son…
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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.