Ace Integrated Solutions Limited (ACEINTEG) Fair Value & Analysis
Industrials · IN · Market cap ₹208M
Fair value as of: Jun 29, 2026
Analysis
Ace Integrated Solutions Limited (ACEINTEG) currently trades at ₹20.86, while our model-based Fair Value estimate is ₹8.53 — implying the stock looks roughly 59.1% 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
Ace Integrated Solutions Limited, together with its subsidiary, Ace Prometric Solutions Private Limited, provides manpower recruitment and examination management services for government and semi-government organizations in India. It operates through Examination and Related IT Services; Printing and Paper Sales; and Specialty Chemicals segments. The company processes online/offline applications, conducts examinations, and processes examination results. It also offers recruitment management services; manpower recruitment and training services consisting of workforce planning, advertisement and application management, pre-employment screening, candidate profiling, psychometric and recruitment assessments, candidate management, and recruitment analysis support services; and examination management solutions comprising designing application, candidate authentication, result preparation, question paper management, examination conduction, result finalization, candidate support helpdesk, ans…
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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.