ACI Worldwide, Inc (ACIW) Fair Value & Analysis
Technology · US · Market cap $4.3B
Analysis
ACI Worldwide, Inc (ACIW) currently trades at $45.17, while our model-based Fair Value estimate is $42.78 — implying the stock looks roughly 5.3% 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: high).
About the company
ACI Worldwide, Inc. develops, markets, installs, and supports software products and services for facilitating electronic payments in the United States and worldwide. It operates through Payment Software, and Billers segments. The company offers ACI Acquiring, a solution to process credit, debit, and prepaid card transactions, deliver digital innovation, fraud prevention, and reduce fees; ACI Issuing, a digital payment issuing solution; and ACI Connetic, a solution that offers payment services for processing, routing, and managing various payment types. It provides ACI real-time payments, a solution that provides connectivity to payment rails; ACI RTGS and cross-border, a payments engine that offers multi-currency, payment and STP processing, and back-office integration interfaces; and ACI digital central infrastructure, a solution that offers real-time payments service. Further, it offers ACI Payments Orchestration Platform, a payments platform that orchestrates and optimizes paymen…
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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.