CL Educate Limited (CLEDUCATE) Fair Value & Analysis
Consumer Defensive · IN · Market cap ₹2.7B
Fair value as of: Jun 29, 2026
Analysis
CL Educate Limited (CLEDUCATE) currently trades at ₹49.00, while our model-based Fair Value estimate is ₹31.11 — implying the stock looks roughly 36.5% overvalued today. We read business quality at 96/100 (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: medium).
About the company
CL Educate Limited provides education and test preparation training programmes in India and internationally. The company operates through EdTech, MarTech, and DEX segments. It offers aptitude products for entrance exams, such as CAT, XAT, SNAP, CLAT, AILET, BBA, and IPMAT; knowledge products for entrance exams, including GATE and CUET; and international education products for globally recognized exams, such as GRE, GMAT, SAT, TOEFL, and IELTS, along with admission consultancy under the Career Launcher brand. The company distributes various titles that include technical titles, preparation material for exams comprising GATE and technical vacancies in government jobs; non-technical titles, material for exams including CAT, bank/SSC, civil services exams, and CUET; and school titles, resources for students preparing for board exams under the GK Publications brand name. It also engages in B2B content publishing on demand for other institutions, including online EdTech companies. Additio…
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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.