Federal International Holdings (8605) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 39.2M MYR
Fair value as of: Jun 24, 2026
Analysis
Federal International Holdings (8605) currently trades at 0.2500 MYR, while our model-based Fair Value estimate is 0.0500 MYR — implying the stock looks roughly 80.0% overvalued today. We read business quality at 92/100 (high quality), in the Consumer Cyclical 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
Federal International Holdings Berhad, an investment holding company, engages in the construction and interior fit out businesses in Malaysia. It operates through Manufacturing and Trading of Furniture; Construction And Interior Fit Out; and Investment Holding segments. The company develops and manages real estate projects, such as residential, commercial, and industrial; acts as a general contractor for construction works; provides renovation, and interior fit out and design services for hospitality venues; and operates as a designer, assembler, integrator, decorator, furnisher, woodworker, consultant, and contractor for various projects. It also produces modular caseworks; shop fixtures and fittings; and hotel furniture comprising wall and base cabinets, shelving, display cases, countertop, kitchen furniture, and panels. In addition, the company supplies office and hotel furniture and fittings; and trades in home furnishings, furniture, home appliances, and general building materi…
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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.