Nagarro SE (NGRRF) Fair Value & Analysis
Technology · US · Market cap $500M
Fair value as of: Jun 24, 2026
Analysis
Nagarro SE (NGRRF) currently trades at $40.42, while our model-based Fair Value estimate is $72.49 — implying the stock looks roughly 79.3% 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
Nagarro SE, together with its subsidiaries, provides digital product engineering and technology solutions in Germany, the United States, Europe, and internationally. The company provides accelerated quality and test engineering; API and integration; application managed services; artificial intelligence, data and analytics; cloud, CRM, DevOps; customer data platforms; cybersecurity; digital experiences, insights, and supply chain; ECM and portals; eco digital engineering; enterprise agile; enterprise architecture consulting; finops; intelligent process automation; innovation; low code; mobility solutions; products, resilience, and site reliability engineering; technical communications; product studio; quantum computing; and training services. It offers atlassian, blockchain, business and transformation consulting, digital commerce solutions, embedded systems, ginger ai, internet of things, mainframe and legacy, process consulting, salesforce, sap, service now, security, and transform…
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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.