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Globant S.A (GLOB) Fair Value & Analysis

Technology · US · Market cap $1.3B

Price$29.28
Fair Value$47.67
Upside+62.8%
Quality92/100
Evidence: High Range $35.75 – $61.89

Analysis

Globant S.A (GLOB) currently trades at $29.28, while our model-based Fair Value estimate is $47.67 — implying the stock looks roughly 62.8% undervalued today. We read business quality at 92/100 (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

Globant S.A., together with its subsidiaries, provides technology services in the United States, rest of North America, Latin America, Europe, and internationally. The company offers Digital Studio, which integrates artificial intelligence into the software development; GUT Studio, which allows clients to better connect brands; and Enterprise Studio, which leverages technology for streamlined operations and productivity. It also provides AI Industry Studios for the financial services; media, entertainment, sports, and leisure; healthcare and life sciences; CPG, retail, and automotive; gaming and EdTech; airlines; energy, oil, and gas; and high tech and professional services sectors. In addition, the company offers AI Pods, a subscription-based delivery model for AI-powered services; Globant Enterprise AI, an agentic innovation platform; Corporate Hub, which grounds intelligence in how the organization operates; AI Hub, which connects and governs foundation and custom models, continu…

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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.