NICE Ltd (NICE) Fair Value & Analysis
Technology · US · Market cap $5.0B
Analysis
NICE Ltd (NICE) currently trades at $87.07, while our model-based Fair Value estimate is $198.46 — implying the stock looks roughly 127.9% 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
NICE Ltd., together with its subsidiaries, provides AI-powered cloud platforms for customer engagement, and financial crime and compliance in the United States, Europe, the Middle East, Africa, and the Asia Pacific. It operates in two segments, Customer Engagement; and Financial Crime and Compliance. The Customer Engagement segment provides CXone Mpower platform for organizations to automate service, augment the workforce with AI-powered solutions, and unify enterprise knowledge, data and AI models resolutions, and customer experiences. The Financial Crime and Compliance segment offers embedded-AI solutions that identify risks and help prevent money laundering and fraud, as well as help ensure financial markets compliance in real-time. It also provides NICE Evidencentral, a digital evidence management and investigation platform for criminal justice system. In addition, the company offers NiCE Actimize provides cloud platforms embedded with AI capabilities for real-time and cross-cha…
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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.