Aptech Limited (APTECHT) Fair Value & Analysis
Consumer Defensive · IN · Market cap ₹6.1B
Fair value as of: Jun 29, 2026
Analysis
Aptech Limited (APTECHT) currently trades at ₹105.63, while our model-based Fair Value estimate is ₹69.10 — implying the stock looks roughly 34.6% overvalued today. We read business quality at 97/100 (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
Aptech Limited provides learning solutions to individual and enterprise clients in India and internationally. It operates through two segments, Retail and Institutional. The company offers career and skill development programs in beauty and wellness, multimedia and animation, VFX, and gaming, virtual production, hardware and networking, aviation, hospitality, and luxury retail, information technology, banking and finance, and preschool education industries; training, assessment, and testing solutions for corporate and institutional clients; and vocational and career-oriented training services, as well as provides English language training. It serves private and public sector undertakings, government departments, educational institutions, students, professionals, and enterprise companies under the Aptech, Aptech Aviation Academy, Aptech Learning, Aptech International Preschool, The Virtual Production Academy, Arena Animation, MAAC, and ProAlley. Aptech Limited was founded in 1986 and…
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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.