Mastech Digital, Inc (MHH) Fair Value & Analysis
Industrials · US · Market cap $91.1M
Fair value as of: Jun 24, 2026
Analysis
Mastech Digital, Inc (MHH) currently trades at $7.69, while our model-based Fair Value estimate is $2.75 — implying the stock looks roughly 64.2% overvalued today. We read business quality at 95/100 (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: high).
About the company
Mastech Digital, Inc., together with its subsidiaries, provides digital transformation IT services to large, medium-sized, and small companies in the United States, Canada, India, and internationally. It operates through Data and Analytics Services and IT Staffing Services segments. The company offers data and analytics services, including project-based consulting services in the areas of master data management, enterprise data integration, big data, analytics and digital transformation, data engineering, data science, and customer experience; and cloud services. It also provides data management, analytics, cloud, mobility, social, automation, and artificial intelligence; business intelligence/data warehousing, web services, enterprise resource planning and customer resource management, and e-business solutions; project-focused temporary IT staffing requirements for smaller organizations; offshore staffing; and engineering staffing services. In addition, the company offers digital l…
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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.