ADvTECH Limited (ADH) Fair Value & Analysis
Consumer Defensive · ZA · Market cap 23.7B ZAC
Fair value as of: Jun 26, 2026
Analysis
ADvTECH Limited (ADH) currently trades at 44.23 ZAC, while our model-based Fair Value estimate is 50.41 ZAC — implying the stock looks roughly 14.0% 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
ADvTECH Limited engages in the provision of education, training, and staff placement services in South Africa and other African countries. The company operates through Schools, Tertiary, and Resourcing segments. The Schools' division offers pre-primary, primary, and secondary education services through face to face and online learning under the Crawford International, Pinnacle Colleges, Trinityhouse, Abbotts College, Junior Colleges, the Bridge Assisted Learning School, and Evolve Online School brands, as well as Gaborone International School, Flipper International School, and Makini Schools brands. The Tertiary segment provides education services on diploma, degree, and postgraduate levels through face-to-face, online, and distance learning under the Independent Institute of Education (IIE), Vega School, Varsity College, Rosebank College, IIE MSA, IIE School of Hospitality & Service Management, Capsicum Culinary Studio, and the Oxbridge Academy brands. The Resourcing segment offers…
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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.