GDYNNasdaqServices-Prepackaged SoftwareUS GAAP · USD

Grid Dynamics Holdings, Inc

Grid Dynamics Holdings, Inc. is a U.S.-based enterprise AI and digital engineering services company founded in 2006 and headquartered in Silicon Valley. It helps Fortune 1000 clients design, build, and scale AI-enabled systems, combining cloud, data, machine learning, distributed systems, and product engineering capabilities with a follow-the-sun delivery model.

Revenue412m USD
+17.5 %y/y
Operating profit (EBIT)-1.9m USD
+10.0 %y/y
EBIT margin-0.5%
+0.1 ppy/y
Net income9.7m USD
+139.2 %y/y
Free cash flow25.3m USD
+37.1 %y/y

Fiscal year 2025 · change from previous year

Development 2020–2025

-1000100200300400500m USD2020: 111 m USD2020: EBIT -15 m USD20202021: 211 m USD2021: EBIT 0.05 m USD20212022: 310 m USD2022: EBIT -21 m USD20222023: 313 m USD2023: EBIT -5.6 m USD20232024: 351 m USD2024: EBIT -2.1 m USD20242025: 412 m USD2025: EBIT -1.9 m USD2025412-1.9
RevenueOperating profit (EBIT)

Business

Share of revenue
Enterprise AI transformation35 %

Advisory and implementation work that helps clients identify, prioritize, and scale AI use cases.

Platform and product engineering30 %

Custom software, platform buildout, and engineering services for enterprise systems.

Data, analytics and cloud engineering20 %

Data platforms, machine learning, cloud modernization, and real-time analytics work.

Digital engagement and experience services10 %

Customer-facing digital solutions and front-end engineering for commerce and engagement.

Other and emerging services5 %

Smaller offerings including IoT, edge computing, and other specialized projects.

Products

Reported · share of revenue
29.3%26.1%24.4%10.5%FY2025100 %
  • Retail29.3 %
  • Technology Media and Telecom26.1 %
  • Financial Service24.4 %
  • Manufactured Product Other10.5 %
  • Other7.3 %
  • Health Care2.5 %

Source: 10-K FY2025, revenue the company reports per product line (SEC XBRL). Shares are of the lines shown and add up to 100 %.

Customers

Grid Dynamics sells primarily to large enterprise clients, especially Fortune 1000 companies, and also works with innovative start-ups. Its customer base is concentrated, with a relatively small number of clients accounting for a meaningful share of revenue, so account expansion and retention are central to the business model.

Fortune 1000 enterprise clients

Buy AI transformation, platform engineering, and analytics services to modernize core systems and capture business value from AI.

Retail and e-commerce

Buy digital commerce, personalization, and data engineering work to support the U.S. retail cycle and omnichannel operations.

Technology, media and telecom

Buy cloud, product engineering, and AI services to accelerate platform development and scale digital products.

Financial services

Buy AI, data, and software engineering services to improve automation, analytics, and customer experience.

CPG and manufacturing

Buy engineering and analytics services to improve supply chain, operations, and connected systems.

Healthcare and pharma

Buy specialized digital and data solutions, though this remains a smaller revenue contributor.

Strategy

Grid Dynamics is focused on deepening its enterprise AI position while expanding beyond a narrow set of customers and verticals. It emphasizes co-innovation, technical leadership, and a globally efficient delivery model to win complex transformation programs and improve utilization.

Expand enterprise AI transformation capabilitiesShort term

AI is the company’s core differentiator and the main source of demand for new projects.

Diversify customers and vertical exposureMedium term

Revenue concentration increases volatility and makes growth dependent on a few accounts.

Improve delivery efficiency and utilizationShort term

Most work is time-and-materials based, so billable utilization drives margins and profitability.

Invest in global talent and delivery footprintMedium term

Access to skilled IT professionals is essential to meet demand and control costs.

Geography

Q3/2026

Grid Dynamics is headquartered in Silicon Valley and operates across the Americas, Europe, and India. Its delivery model depends on a globally distributed workforce, with Europe representing the largest personnel base and India and other regions supporting follow-the-sun execution and cost-efficient delivery.

North America36 %
United States36 %
Europe12 %
United Kingdom6.5 %
Other countries (US filing)5.5 %
India2.0 %
Poland1.8 %

Share of the revenue the company reports by geography.

Risks

The business is exposed to customer concentration, talent competition, and demand swings tied to enterprise IT budgets. It also faces geopolitical and trade-policy risks because delivery is globally distributed and many clients operate in retail, technology, and CPG sectors that are sensitive to recession and tariffs.

Sorted by severity
LowMediumHighLowMediumHighImpact →Likelihood →Geopolitical disruption in Europe and nearby regions1Customer concentration2Talent retention and hiring competition3Trade policy, tariffs, and recession-driven demand weakness4Rapidly evolving AI and digital engineering market5
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. Geopolitical disruption in Europe and nearby regionsImpact: HighLikelihood: High

    Operations and personnel are spread across Europe, including exposure to Ukraine, Armenia, and Serbia-related uncertainty.

    Exposure: Delivery centers and workforce in Europe

  2. Customer concentrationImpact: HighLikelihood: Medium

    A small number of clients account for a large share of revenue, so loss or delay of one account can materially affect results.

    Exposure: Top customers represented over half of quarterly revenue in disclosed periods

  3. Talent retention and hiring competitionImpact: HighLikelihood: Medium

    The company depends on scarce IT and AI professionals, and wage pressure or attrition can hurt delivery and margins.

    Exposure: Global engineering workforce

  4. Trade policy, tariffs, and recession-driven demand weaknessImpact: MediumLikelihood: Medium

    Clients in retail, CPG, and technology may cut discretionary IT spending if macro conditions worsen.

    Exposure: Customer end-markets

  5. Rapidly evolving AI and digital engineering marketImpact: MediumLikelihood: Medium

    Technology shifts can make offerings less competitive if the company does not keep pace with client needs.

    Exposure: Enterprise AI and software services portfolio

Accounting

Judgemental items
Revenue recognition under service contracts

Management must judge whether obligations are distinct and whether revenue is recognized over time or at a point in time.

Impact: Can shift timing of revenue and margin recognition

Seasonality

Holiday timing and the U.S. retail cycle affect quarterly demand and profitability.

Impact: Quarterly results may not be directly comparable

Stock-based compensation

A meaningful recurring expense in non-GAAP reconciliations and GAAP earnings.

Impact: Affects operating profit and EPS

Business combinations and intangible asset valuation

Acquisitions require fair value estimates for customer relationships, trade names, and contingent consideration.

Impact: Can create goodwill and future impairment risk

Uncertain tax positions

Multi-jurisdiction tax filings and audits can lead to additional tax expense, interest, and penalties.

Impact: Can affect tax rate and cash taxes

Publicly listed companies with a comparable business focus.

Last updated: 24/09/2026