PT Homeco Victoria Makmur Tbk (LIVE) Fair Value & Analysis
Consumer Cyclical · ID · Market cap 914B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Homeco Victoria Makmur Tbk (LIVE) currently trades at 230.00 IDR, while our model-based Fair Value estimate is 25.38 IDR — implying the stock looks roughly 89.0% overvalued today. We read business quality at 95/100 (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
PT Homeco Victoria Makmur Tbk engages in the wholesale business in Indonesia. The company offers writing and drawing equipment, such as notebooks, drawing books, stationery and drawing tools; wholesale trade in various children's games and toys, both traditional and modern games, such as board games; household equipment and supplies, such as household furniture, kitchen and cooking equipment, lamps and equipment, consumer electronics, such as radios, televisions, recorders and players CDs and DVDs, stereo equipment, video game consoles, lighting equipment, various porcelain and glassware, spoons, knives, forks, wooden utensils, wickerware and cork items, carpets and so on; textile wholesale trade, which includes wholesale trade in textile industry products, such as various textiles/fabrics, batik cloth and others; household linen items and others; and other management consulting activities. It sells its products under Technoplast, scandic, Le Cuisine, Wiggle, One Price, house of val…
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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.