Cyient Limited (CYIENT) Fair Value & Analysis
Industrials · IN · Market cap ₹97.8B
Fair value as of: Jun 29, 2026
Analysis
Cyient Limited (CYIENT) currently trades at ₹886.25, while our model-based Fair Value estimate is ₹658.36 — implying the stock looks roughly 25.7% overvalued today. We read business quality at 88/100 (high quality), in the Industrials 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
Cyient Limited provides geospatial, engineering design, manufacturing, networks and operations, data transformation, and analytic services in North America, Europe, Middle East, and the Asia Pacific. The company operates through three segments: Digital, Engineering & Technology; Design Led Manufacturing; and Others. The company offers digital thread; electrification and energy storage; autonomous systems; digital twin; product to platform engineering; data platforms and GenAI; Industry 4.0; industry AI advisor platform; Coddy, a legacy application migration; CYARC, a regulatory compliance watch for medical devices; CYFAST, for equipment testing and validation; CYIOPS, a power outage planning and scheduling platform; CYPRED forecast and prediction engine; CYTEXT that transforms PDFs and documents into searchable text; SmartHub, a field inspection and data capture; and CYXTRACT which extract, search, and analyze documents. It also provides manufacturing operations management solutions…
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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.