ScanSource, Inc (SCSC) Fair Value & Analysis
Technology · US · Market cap $964M
Fair value as of: Jun 24, 2026
Analysis
ScanSource, Inc (SCSC) currently trades at $49.19, while our model-based Fair Value estimate is $68.85 — implying the stock looks roughly 40.0% undervalued today. We read business quality at 95/100 (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
ScanSource, Inc. engages in the distribution of technology products and solutions in the United States and internationally. It operates through two segments: Specialty Technology Solutions, and Intelisys & Advisory. The Specialty Technology Solutions segment offers mobility and barcode, including mobile computing; barcode scanners and imagers, radio frequency identification devices, barcode printing and related services; point of sale systems and integrated pos software platforms; payment terminals, such as self-service kiosks, payment terminals and mobile payment devices; physical security comprising video surveillance and analytics, and video management software and access control; networking, such as switching, and routing and wireless products and software; communications, including voice, video, communication platform integration, and contact center solutions; managed connectivity and wireless enablement solutions. This segment offers applications that have evolved from traditi…
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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.