CMS Info Systems Limited (CMSINFO) Fair Value & Analysis
Industrials · IN · Market cap ₹46.5B
Fair value as of: Jun 29, 2026
Analysis
CMS Info Systems Limited (CMSINFO) currently trades at ₹291.10, while our model-based Fair Value estimate is ₹308.77 — implying the stock looks roughly 6.1% undervalued today. We read business quality at 97/100 (high quality), in the Industrials 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
CMS Info Systems Limited, together with its subsidiaries, provides cash management and managed services in India. It operates in three segments: Cash Management Services, Managed Services, and Cards. The company offers cash management services comprising ATM cash management services, such as cash processing, cassette management, ATM replenishment, cash evacuation for banknote accepting/recycling, day-end reporting, and reconciliation; retail cash management services, including cash pickup and deposit logistics, Cash-X electronic, and retail cash vault solutions; and other related services, as well as cash-in-transit services for banks. It also provides managed services, such as banking automation services comprising ATM manufacturing and maintenance, currency recyclers, and self-service kiosks; brown label ATM deployment and managed services for banks; software solutions, including ATM multi-vendor software and automated ATM security software solutions; and remote monitoring technol…
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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.