Adroit Infotech Limited (ADROITINFO) Fair Value & Analysis
Technology · IN · Market cap ₹515M
Fair value as of: Jun 29, 2026
Analysis
Adroit Infotech Limited (ADROITINFO) currently trades at ₹8.82, while our model-based Fair Value estimate is ₹12.18 — implying the stock looks roughly 38.1% undervalued today. We read business quality at 97/100 (high quality), in the Technology 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
Adroit Infotech Limited, together with its subsidiaries, operates as an SAP consulting company in India and internationally. The company offers a range of network solutions, including internet, network management, data centre and co-location, and enterprise mailing, as well as sale of VOIP telephones and products, software development and related services, consulting, package implementation, web solutions, bandwidth, and information technology enabled services. It also provides migration to HANA; S/4 HANA enterprise management; data analytics and mobility services, including SAP Fiori mobile app for business activities, and SAP business objects and analytics; industry specific SAP pre"configured solutions; and conventional SAP ECC services, such as implementation, re-implementation, rollouts, module extensions, support and maintenance, and upgrades and migrations. In addition, the company offers products comprising ARIBA, a cloud procurement solution; CRM, a customer relationship an…
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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.