F.I.T Group (FIT) Fair Value & Analysis
Financial Services · VN · Market cap 1.3T VND
Fair value as of: Jun 26, 2026
Analysis
F.I.T Group (FIT) currently trades at 3,780 VND, while our model-based Fair Value estimate is 2,000 VND — implying the stock looks roughly 47.1% overvalued today. We read business quality at 80/100 (high quality), in the Financial Services 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: medium).
About the company
F.I.T Group Joint Stock Company engages in the manufacturing and trading of medicine and medical equipment in Vietnam. It operates through three segments: Consultancy and Investment, Agriculture, and Pharmaceuticals and Medical Equipment. The Consultancy and Investment segment offers services, including investment consultancy, M&A consultancy, equitization consultancy, corporate governance consultancy, market development consultancy, business financial management consultancy, human resource development consultancy, real estate brokerage, and leasing offices, as well as trading real estate and managing parking areas and public facilities. The Agriculture segment engages in the trading, processing, and exporting of agricultural products, plant varieties, seeds, consumer goods, mineral water, and related services. The Pharmaceuticals and Medical Equipment segment focuses on trading pharmaceuticals, medical equipment, producing capsules, and manufacturing medical devices. The company al…
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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.