Cashbuild Limited (CBLDF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $167M
Fair value as of: Jun 24, 2026
Analysis
Cashbuild Limited (CBLDF) currently trades at $7.99, while our model-based Fair Value estimate is $12.83 — implying the stock looks roughly 60.6% undervalued today. We read business quality at 95/100 (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
Cashbuild Limited engages in the retailing of building materials and associated products in South Africa, Botswana, Eswatini, Lesotho, Namibia, Zambia, and Malawi. It operates through Cashbuild, P&L Hardware, Cashbuild Common Monetary Operations, and Cashbuild Non-Common Monetary Operations segments. The company offers builder, hand, and garden tools; safety equipment and workwear, tanks, field toilets, drain covers, and wheel barrows; and aggregates, plastic sheeting, and steel products. It also provides brickwork; concrete; cement; electrical, and bathroom and kitchen products; doors, putty, and windows; roofing and ceiling products; tools and hardware; inverters, petrol generators, lighting, and gas solutions; soft drinks and snacks; and outdoor and decorative products. It serves contractors, homebuilders and improvers, farmers, traders, and other customers. The company operates through the Cashbuild model and P&L Hardware stores. Cashbuild Limited was founded in 1978 and is base…
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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.