XL Holdings (7121) Fair Value & Analysis
Consumer Defensive · MY · Market cap 358M MYR
Fair value as of: Jun 24, 2026
Analysis
XL Holdings (7121) currently trades at 0.8850 MYR, while our model-based Fair Value estimate is 0.4200 MYR — implying the stock looks roughly 52.5% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
XL Holdings Berhad, an investment holding company, engages in the breeding and rearing of fishery livestock in Malaysia and internationally. It operates through Fish Farming, Merchandise, Foods, Growing Crop, and Other segments. The company provides the retailing of aquarium and accessories, and fish feed and medications; trading of fishes, consumables and aquarium accessories, seaweed, pineapple cultivation, and edible foods; edible bird nest, as well as ready-to-serve meals. In addition, it engages in the dairy farm cow farming; solar energy projects; agriculture of chili and pineapple; feedmill production activities; and property holding activities, as well as other management services, general trading, and investment activities. The company was formerly known as Xian Leng Holdings Berhad and changed its name to XL Holdings Berhad in April 2021. XL Holdings Berhad was incorporated in 1998 and is headquartered in Kuala Lumpur, Malaysia.
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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.