Yenher Holdings (5300) Fair Value & Analysis
Consumer Defensive · MY · Market cap 224M MYR
Fair value as of: Jun 24, 2026
Analysis
Yenher Holdings (5300) currently trades at 0.7700 MYR, while our model-based Fair Value estimate is 1.26 MYR — implying the stock looks roughly 63.6% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: high) — always confirm before acting.
About the company
Yenher Holdings Berhad, an investment holding company, manufactures, supplies, and markets animal health and nutrition products for livestock and companion animals in Malaysia and internationally. The company offers premixes, feed, formulated products, and biotech animal feed ingredients for the poultry and swine subsectors, as well as agricultural products; and undertakes research and development activities in the related fields. It also distributes feed additives, vitamins, minerals, veterinary pharmaceuticals and vaccines, farm equipment, livestock reproduction products, disinfectant products, companion animal products, grains, and oilseeds for the poultry, swine, ruminants, aquaculture, and companion animal's subsectors; and manufactures and sells animal feeds and fertilizers. In addition, the company offers value-added diagnostic and material analyses services comprising microbiological, chemical, and serology tests; and consulting services related to farm management, disease d…
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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.