GLOBNYSEServices-Computer Processing & Data PreparationUS GAAP · USD

Globant S.A.

Globant S.A. is a U.S.-listed digital transformation and software engineering services company that designs, builds, and operates technology products for enterprises. Its work spans cloud, data, AI, experience design, and custom software delivery for customers across North America, Latin America, Europe, and other international markets.

Revenue2,455m USD
+1.6 %y/y
Operating profit (EBIT)177m USD
−26.1 %y/y
EBIT margin7.2%
−2.7 ppy/y
Net income103m USD
−37.9 %y/y
Free cash flow212m USD
+56.7 %y/y

Fiscal year 2025 · change from previous year

Development 2022–2025

05001,0001,5002,0002,500m USD2022: 1,780 m USD2022: EBIT 207 m USD20222023: 2,096 m USD2023: EBIT 218 m USD20232024: 2,416 m USD2024: EBIT 239 m USD20242025: 2,455 m USD2025: EBIT 177 m USD20252,455177
RevenueOperating profit (EBIT)

Business

Share of revenue
Software engineering40 %

Custom design and development of enterprise software and digital products.

AI and data services20 %

AI-native services, data engineering, and intelligent automation offerings.

Cloud and platform modernization20 %

Migration, modernization, and ongoing support for enterprise platforms.

Experience and design10 %

Customer experience, product design, and digital consulting services.

Managed services10 %

Application support, maintenance, and long-term delivery engagement services.

Customers

Globant sells mainly to enterprises that outsource high-value digital development, modernization, and AI implementation work. Customer demand is typically driven by large, multi-year technology programs in industries such as financial services, retail, media, travel, and other enterprise sectors. The company also serves a broad base of recurring clients, with its largest customers contributing a meaningful but not dominant share of revenue. Its mix of many accounts and several very large relationships reflects a services model built around long-duration strategic delivery engagements.

Large enterprise clients

Buy complex software, cloud, and AI programs that require scale and specialized engineering.

Recurrence-based key accounts

Long-standing customers that renew and broaden delivery across business units.

Digitally intensive industries

Financial services, retail, media, and travel firms buying customer-facing and core platforms.

Mid-market and growth accounts

Smaller enterprise clients that use targeted engineering teams and can expand over time.

Strategy

Globant’s strategy is centered on expanding AI-native delivery capabilities and embedding AI into client transformation programs. The company is also focused on deepening relationships with large enterprise customers while broadening its mix of services across cloud, data, design, and software engineering. This matters because the business depends on being relevant to clients’ core technology roadmaps, not just project-based coding work.

AI-native service deliveryShort term

Positions the company around client demand for practical AI implementation, not experimentation.

Enterprise account expansionMedium term

Larger multi-year accounts improve revenue visibility and broaden solution scope.

Service mix diversificationMedium term

Balanced offerings reduce dependence on any single technology cycle or client demand area.

Geography

Globant’s revenue base is concentrated in North America, with meaningful exposure to Latin America and Europe and a smaller New Markets bucket covering Asia, Oceania, and the Middle East. The company’s delivery model is international, with revenue generated in both U.S. dollars and other currencies, which creates foreign exchange exposure across client and delivery geographies. This geographic mix matters because client demand, pricing, and talent availability vary by region, and the business depends on cross-border service delivery.

Risks

Globant’s main risks are project demand cyclicality, customer concentration, and foreign exchange volatility. As a people-intensive services company, it also faces pressure from wage inflation, talent retention, and the need to keep specialized skills aligned with changing enterprise technology needs. The shift toward AI-native services can create execution risk if client adoption or delivery capabilities lag expectations.

Sorted by severity
LowMediumHighLowMediumHighImpact →Likelihood →Customer concentration1Enterprise demand cyclicality2AI execution and productization risk3Foreign exchange volatility4Talent retention and wage pressure5
Impact is the risk’s severity and likelihood how probable it is over the next few years, both assessed from the company’s reports. Numbers match the list.
  1. Customer concentrationImpact: HighLikelihood: High

    Top customers account for a meaningful portion of revenue, so a slowdown at one client can move results.

    Exposure: Top 10 customers were about 29.1% of revenue

  2. Enterprise demand cyclicalityImpact: HighLikelihood: Medium

    Digital services spending depends on client budgets and project timing, which can shift quickly.

    Exposure: Software engineering and transformation programs

  3. AI execution and productization riskImpact: HighLikelihood: Medium

    The company is repositioning around AI-native services, which requires successful adoption and delivery.

    Exposure: AI Pods and AI-enabled transformation work

  4. Foreign exchange volatilityImpact: MediumLikelihood: High

    A large portion of revenue is generated in currencies other than USD.

    Exposure: Other currencies represented about 32.8% of revenue

  5. Talent retention and wage pressureImpact: MediumLikelihood: High

    Services delivery depends on skilled engineers, designers, and AI specialists.

    Exposure: Global delivery centers and specialized teams

Accounting

Judgemental items
Revenue recognition

Service contracts may be recognized over time, affecting quarterly timing and backlog conversion.

Impact: Can change revenue timing and margin comparability

Foreign currency translation

Revenue is generated across multiple currencies, so FX moves influence reported results.

Impact: Affects revenue growth and operating income translation

Contract assets and liabilities

Longer-duration delivery engagements can create timing differences between billing and revenue recognition.

Impact: Affects working capital and quarterly reported revenue

Goodwill and intangible assets

Acquisitions in services businesses require periodic impairment assessment.

Impact: Could create non-cash charges if expected cash flows weaken

Publicly listed companies with a comparable business focus.

Last updated: 28/09/2026