AAA Technologies Limited (AAATECH) Fair Value & Analysis
Technology · IN · Market cap ₹1.2B
Fair value as of: Jun 29, 2026
Analysis
AAA Technologies Limited (AAATECH) currently trades at ₹95.16, while our model-based Fair Value estimate is ₹27.34 — implying the stock looks roughly 71.3% overvalued today. We read business quality at 97/100 (high quality), in the Technology 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
AAA Technologies Limited engages in the provision of IS audit, information security audit, cyber security audit, IT assurance and compliance, and IT governance services in India. The company offers IT systems audit services, such as operating system, firewall, forensic, web application, ATM, internet banking, performance, database, IDS, networking, data center, ERP, core banking, application systems and functional review, data migration, mobile penetration testing, vulnerability assessment and penetration testing, compliance with is policies and procedure, and compliance with various regulatory requirements. It also provides cyber security audit services, including protection of sensitive data and intellectual property; protection of networks; and responsibility and accountability for the device and information contained in it. In addition, the company offers IT assurance and compliance services comprising business continuity planning; computer crime investigations; training in info…
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Frequently asked questions
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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.