NCR Voyix Corporation (VYX) Fair Value & Analysis
Technology · US · Market cap $1.0B
Analysis
NCR Voyix Corporation (VYX) currently trades at $7.50, while our model-based Fair Value estimate is $5.27 — implying the stock looks roughly 29.7% overvalued today. We read business quality at 95/100 (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: medium).
About the company
NCR Voyix Corporation provides digital commerce solutions for retail stores and restaurants in the United States, the Americas, the Asia Pacific, Europe, the Middle East, and Africa. The company operates through Retail and Restaurants segments. It offers application program interface connectivity to retail software platforms and applications, hardware terminals, self-service kiosks, including self-checkout, payment processing and merchant acquiring solutions, and bar-code scanners for enterprise and mid-market retailers in the convenience fuel retail and department specialty retail industries, as well as grocery stores, drug stores, and big box retailers. The company also provides POS hardware and software solutions; payment processing; and installation and maintenance services, as well as managed and professional services for restaurants and food service establishment, including quick service, table service and fast casual restaurants. In addition, it offers Voyix Commerce Platform…
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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.