DCX Systems Limited (DCXINDIA) Fair Value & Analysis
Industrials · IN · Market cap ₹21.3B
Fair value as of: Jun 29, 2026
Analysis
DCX Systems Limited (DCXINDIA) currently trades at ₹191.30, while our model-based Fair Value estimate is ₹91.89 — implying the stock looks roughly 52.0% overvalued today. We read business quality at 97/100 (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: low).
About the company
DCX Systems Limited, together with its subsidiaries, manufactures and sells electronic systems and cable harnesses in India and Internationally. It offers cable and harness, fine wire cable, flex flat cable, backplane, and conduit assemblies; and EMI shield cable harnesses, wired enclosures, diagnostic test sets, and special/customized connectors. The company also provides electronic manufacturing services, including printed circuit board and electro-mechanical assemblies, design for manufacturability analysis, conformal coating and special processes, flashing/burning of programmable ICs and FPGAs, in-circuit and functional level testing, burn-in/environmental stress screening vibration testing, and repair and revision upgrading services. In addition, it offers aerospace, defense, and industrial automation equipment; subsystem assembly; and integration and testing services, as well as kitting services. The company serves aerospace, land and naval defense systems, and satellites 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.