Italtile Limited (ITE) Fair Value & Analysis
Consumer Cyclical · ZA · Market cap 10.2B ZAC
Fair value as of: Jun 26, 2026
Analysis
Italtile Limited (ITE) currently trades at 8.94 ZAC, while our model-based Fair Value estimate is 24.80 ZAC — implying the stock looks roughly 177.4% undervalued today. We read business quality at 91/100 (high quality), in the Consumer Cyclical 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
Italtile Limited manufactures, retails, and franchises tiles, bathroom ware, and related home-finishing products in South Africa, rest of Africa, and Australia. The company imports, distributes, and retails brassware and accessories, laminate and vinyl floor boards, bathroom furniture, shower enclosures, sanitaryware, décor, and other home finishing products; tiles, and bathware and related products; taps, shower enclosures, and bathroom furniture and accessories; and paint, ceiling décor, lighting, laminate flooring, window blinds, and tile adhesives. It also manufactures and sells glazed porcelain floor tiles, ceramic wall and floor tiles, vitreous China sanitary ware, acrylic baths, adhesives, shower trays, grout, adhesives, paints, and related products. In addition, the company provides logistics and warehousing services. It sells its products under the Italtile Retail, CTM, and TopT brands through retail stores and online. The company was incorporated in 1955 and is headquarter…
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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.