Nuix Limited (NXLLF) Fair Value & Analysis
Technology · US · Market cap $339M
Fair value as of: Jun 24, 2026
Analysis
Nuix Limited (NXLLF) currently trades at $1.00, while our model-based Fair Value estimate is $1.33 — implying the stock looks roughly 33.0% 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: medium) — always confirm before acting.
About the company
Nuix Limited provides investigative analytics and intelligence software solutions in the Asia Pacific, the Americas, Europe, the Middle East, and Africa. The company offers Nuix Neo Platform, a solution-based offering that solves most challenging data problems; Nuix Neo Data Privacy for managing data privacy; Nuix Neo Investigations, collaborates in real time and uncover the truth with insights on a massive scale; and Nuix Neo Legal provides insights from data and make decisions for law firms and legal service providers. It also provides Nuix Neo Discover, an eDiscovery processing, review, analytics, and predictive coding in one software solution; Nuix Workstation, a platform that process file formats and source types to search and analyze, and turn data into information; Nuix Investigate, visualize communication patterns and establish case position sooner; Nuix Adaptive Security, detects potential internal and external threats to data security in real-time; and Nuix Enterprise Coll…
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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.