Ni Hsin Group (7215) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 43.2M MYR
Fair value as of: Jun 26, 2026
Analysis
Ni Hsin Group (7215) currently trades at 0.0700 MYR, while our model-based Fair Value estimate is 0.0280 MYR — implying the stock looks roughly 60.0% 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: low).
About the company
Ni Hsin Group Berhad, an investment holding company, designs, manufactures, and sells stainless steel kitchenware and cookware products in Malaysia, Japan, the United States, Europe, Canada, and the Asia Pacific. It operates through five segments: Cookware; Stainless Steel Products; Food and Beverages; Logistics; and Electric Vehicles. The company provides a range of stainless-steel multi-ply cookware products, including pressure cookers, pots, woks, and sauce pans for household and commercial use, as well as fry pans and rice bowls. It also offers multi-ply stainless steel-clad metals for use in houseware, electrical appliances, automotive, and chemical industries. In addition, the company provides stainless steel convex mirrors, non-stick coating cookware products, and stainless-steel water filters, as well as original equipment manufacturing and original design manufacturing services to customers selling cookware on their own brand names. Further, it offers coffee capsules under …
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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.