Grid Dynamics Holdings, Inc. (GDYN) Q1 2026 Earnings Call Transcript
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
Overview
The earnings call revealed strong demand, a transition to a platform-based model, and significant productivity gains from AI, indicating positive financial prospects. The company is confident in its guidance, driven by a robust pipeline and improved margins. New partnerships and a focus on AI enhance growth opportunities. Despite some risks and lack of specific details, the overall outlook is favorable, suggesting a positive stock price movement.
Key Financial Performance
Q1 Revenue $104.1 million, a 3.7% year-over-year increase. This growth was attributed to strong execution, AI-led transformation, and high-value enterprise engagements.
AI Revenue 29.3% of total company revenue, growing nearly 60% year-over-year. This growth reflects the increasing adoption of AI offerings and their integration into the company's core business.
Non-GAAP EBITDA $12.5 million or 12% of revenues, down from $14.6 million or 14.5% in the year-ago quarter. The decline was due to FX headwinds and higher operating costs.
GAAP Gross Profit $36.2 million or 34.8%, down from $37 million or 36.8% in the year-ago quarter. The decline was due to FX headwinds and higher cost structures across delivery locations.
Non-GAAP Gross Profit $36.7 million or 35.3%, down from $37.6 million or 37.4% in the year-ago quarter. The decline was attributed to FX headwinds and higher cost structures.
GAAP Net Loss $1.5 million or a loss of $0.02 per share, compared to a net income of $2.9 million or $0.03 per share in the year-ago quarter. The decline was due to FX headwinds and higher operating costs.
Non-GAAP Net Income $7.5 million or $0.09 per share, down from $10 million or $0.11 per share in the year-ago quarter. The decline was due to FX headwinds and higher operating costs.
Cash and Cash Equivalents $327.5 million as of March 31, 2026, down from $342.1 million on December 31, 2025. The decrease was due to share repurchases totaling $11.5 million.
TMT Revenue Contribution 29.5% of total revenues, growing 30.3% year-over-year. Growth was driven by large technology customers and new customer acquisitions.
Retail Revenue Contribution 28.4% of total revenues, with no specific year-over-year growth mentioned.
Finance Vertical Revenue Contribution 23.5% of total revenues, with strong demand from banking and fintech customers.
CPG & Manufacturing Revenue Contribution 9.4% of total revenues, with growth from North American manufacturing customers and new engagements in Europe.
Other Verticals Revenue Contribution 7.1% of total revenues, with no specific year-over-year growth mentioned.
Healthcare and Pharma Revenue Contribution 2.1% of total revenues, with no specific year-over-year growth mentioned.
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Operating Highlights
AI Revenue: AI revenue reached 29.3% of total company revenue, growing nearly 60% year-over-year. AI practice has become the core of the business, reshaping offerings, talent development, and client relationships.
GAIN Platform for Physical AI: Closed first commercial engagement in physical AI with a heavy equipment manufacturer, enabling mining equipment with intelligent autonomous capabilities.
AI Native SDLC and Agentic Coding: AI-native SDLC and agentic coding are changing service delivery economics, enabling larger client initiatives and legacy modernization.
Diversification into Technology and Financial Services: Top 5 accounts are entirely outside of retail, reflecting diversification into technology and financial services where AI adoption is accelerating.
Partnership Ecosystem: Partner inference revenues grew to 19.1% of total company revenue, driven by partnerships with Google Cloud, AWS, and Microsoft Azure. Expanded partnership with NVIDIA for manufacturing and CPG companies.
AI Native Delivery: Shifted from human-led workflows to AI agent-driven executions, resulting in material productivity gains and a structurally different cost base.
Internal AI Automation: Adopted AI tools for recruitment, RFP responses, knowledge management, and HR, achieving significant productivity improvements.
Focus on AI-Led Transformation: Building the company around AI with four pillars: AI native delivery, productized engineering, AI consulting, and internal AI automation.
Vertical-Specific Platforms: GAIN platforms address specific business pain points, improving sales dynamics and client retention.
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Risk or Challenges
Currency Fluctuations: The company faced a negative impact from FX fluctuations, particularly across Europe, Latin America, and India, resulting in a $1.2 million year-over-year headwind on EBITDA.
Cost Structures: Higher cost structures across delivery locations contributed to a decline in gross margins and EBITDA on a year-over-year basis.
Customer Concentration: Revenues from the top 5 and top 10 customers accounted for 40.8% and 59.7% of total revenues, respectively, indicating a potential risk of over-reliance on a few key customers.
Headcount Rationalization: The company is rationalizing its headcount to align skill sets and geographic mix, which could pose challenges in maintaining operational efficiency during the transition.
Legacy Modernization Risks: Modernizing legacy mainframe platforms, as seen with a home improvement retailer, involves risks related to cost, time, and specialized talent requirements.
AI Transformation Challenges: The shift to AI-native delivery and agent-driven workflows requires significant organizational change and adaptation, which could lead to inefficiencies or resistance.
Economic Uncertainty: The company operates in multiple regions and industries, exposing it to broader economic uncertainties that could impact demand for its services.
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Guidance & Outlook
AI Revenue Growth: AI revenue reached 29.3% of total company revenue in Q1 2026, growing nearly 60% year-over-year. The company expects to further accelerate AI revenues in 2026.
Market Diversification: The top 5 accounts are now entirely outside of retail, reflecting diversification into technology and financial services. This positions the company to capture greater market share in 2026 and beyond.
AI-Driven Market Expansion: AI is expanding the company's addressable market by enabling legacy modernization and unlocking new client initiatives. AI-native SDLC and agentic coding are expected to change the economics of delivering services.
Physical AI Growth: The company closed its first commercial engagement in physical AI with a heavy equipment manufacturer and expects further growth in this area.
GAIN Platforms Deployment: The company is deploying its GAIN platforms on hyperscaler marketplaces (Google Cloud, AWS, Microsoft Azure) to increase sales pipelines and accelerate deal closures.
Revenue Guidance for Q2 2026: The company expects Q2 2026 revenues to be in the range of $106 million to $108 million.
Non-GAAP EBITDA Guidance for Q2 2026: The company expects Q2 2026 non-GAAP EBITDA to be in the range of $14 million to $15 million.
Full-Year 2026 Revenue Outlook: The company is maintaining its full-year 2026 revenue outlook of $435 million to $465 million.
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Shareholder Return Plan
Share Repurchase Program: Since our fourth quarter earnings call, we repurchased approximately 1.8 million shares for a total consideration of $11.5 million. Since our Board authorized the $50 million share repurchase program, we have repurchased approximately 2 million shares for a total of $13.5 million, reflecting our continued confidence in the long-term value of the business.
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Key Q&A
Q:What is the impact of the GAIN framework on overall operations, and how does it affect contracts and hiring?
A:The GAIN framework has led to a shift towards non-T&M (Time and Materials) projects, including tokenization, fixed bids, and performance-related contracts. Most Forward Deployed Engineers (FTEs) are internally trained, with a focus on adapting to the GAIN platform approach. The company is retraining its delivery organization and adapting internal processes to support this shift. Although headcount appears flat, there is a higher contribution from the engineering workforce due to reclassification and training.
Q:What drives the confidence in achieving the full-year guidance, and what factors contribute to this?
A:Confidence is driven by a record-high demand and a significant increase in non-T&M projects. The company is transitioning to a platform-based model, which includes monetization stages and greater stickiness with clients. While revenue recognition timing is still being refined, the company is confident due to a strong pipeline and better margin profiles for new projects.
Q:What is the outlook for partner revenue, and how does it impact margins?
A:Partner revenue has crossed 19% of total revenue, with a long-term goal of reaching 25%-30%. The deployment of GAIN platforms on hyperscaler marketplaces is expected to accelerate partner-influenced revenues. New partnerships, including those with business organizations and hyperscalers, are contributing to growth and adding addressable market opportunities.
Q:Is the TMT (Technology, Media, and Telecommunications) growth sustainable, and what drives it?
A:TMT growth is considered durable, driven by consolidation among clients and Grid Dynamics becoming a preferred vendor. The company is leveraging its AI capabilities to gain traction with technology-savvy clients and hyperscaler relationships. The focus on AI deployments at scale has positioned the company as a key player in this sector.
Q:What are the risks and rewards of the non-T&M model, and how is the company addressing them?
A:The non-T&M model involves risks related to project scope and requirements. The company mitigates these risks using AI agents and the GAIN Rosetta framework to clarify requirements and accelerate delivery. Fixed-price projects generally have higher margins than T&M projects, and the company has learned from past experiences to better manage these risks.
Q:What is the impact of AI on productivity and pricing, and how does it affect client engagements?
A:AI has led to significant productivity improvements, such as 3x to 6x gains in specific projects. While there is no significant pricing pressure, the company is using AI to expand business rather than reduce margins. The focus is on delivering measurable ROI and increasing stickiness with clients.
Q:How is the company managing headcount and utilization in light of AI-driven changes?
A:The company is focusing on increasing revenue per person and utilizing both human and IP capital. The adoption of AI is expected to improve efficiency and margins, with a shift away from traditional T&M models. Regional differences in revenue and margin contributions are being addressed through consistent growth in revenue per person.
Q:What is the client sentiment regarding AI and recent geopolitical events?
A:Client sentiment towards AI is positive, with a shift from POCs to production projects. The company is seeing increased pipeline growth and adoption among fast followers. Geopolitical events like the Iran war have had negligible impact on the business, while the Russia-Ukraine conflict has had a more significant effect.
Q:What are the company's plans for partnerships beyond hyperscalers?
A:The company is focusing on partnerships with specialized AI firms, LLM providers, and large consulting companies. These partnerships aim to enhance capabilities and address new market opportunities.
Q:What is the visibility into revenue and the risk of achieving guidance?
A:Approximately 85% of revenue comes from long-term clients, with 10% from recent clients and 5% from new clients. The company feels confident in its guidance due to improving business conditions and derisking in the retail sector. However, the success of AI deployments and partner ecosystems remains a key area of focus.
Q:What is the company's approach to M&A, and how are valuations affecting this strategy?
A:The company is focused on tuck-in acquisitions to enhance AI-related technologies and capabilities. While valuations have come down, good companies still command a premium. The company prioritizes accretive acquisitions that align with its strategic goals.
Q:Review of Unclear Management Responses
A:Management avoided providing specific numerical details on the exact margin differences between fixed-price and T&M projects, as well as the precise impact of AI-driven productivity on overall financials. Additionally, there was no clear timeline or quantification of the expected revenue growth from new partnerships or AI initiatives.
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Earnings Word Cloud
The most frequently occurring keywords in this quarter's earning call
AI agent
AI consulting
AWS
Clients
Deployed Engineers
Dynamics AI
Forward Deployed
GAIN platform
IP
NVIDIA
Partnerships
adoption
capability
client
delivery
domain
engagement
enterprise
environment
improvement
infrastructure
knowledge
legacy
market
mining
model
motion
partner
pillar
process
production grade
productivity
program
project
relationship
response
sale
service
solution
technology
value
workflow
GDYN Transcript
Grid Dynamics Holdings, Inc. (GDYN) Q1 2026 Earnings Call Transcript
Positive5-1
The earnings call revealed strong demand, a transition to a platform-based model, and significant productivity gains from AI, indicating positive financial prospects. The company is confident in its guidance, driven by a robust pipeline and improved margins. New partnerships and a focus on AI enhance growth opportunities. Despite some risks and lack of specific details, the overall outlook is favorable, suggesting a positive stock price movement.
Grid Dynamics Holdings, Inc. (GDYN) Q4 2025 Earnings Call Transcript
Positive3-6
The earnings call highlighted a 10% YoY revenue increase and a 25% rise in net income, indicating strong financial performance. Additionally, gross margin improved by 2%, and operating cash flow increased by 5%, showcasing operational efficiency. The company's strategic initiatives, such as AI and digital transformation, further bolster its growth prospects. Despite the lack of specific risk discussions, the overall financial health and strategic direction suggest a positive sentiment, likely resulting in a 2% to 8% stock price increase over the next two weeks.
Grid Dynamics Holdings, Inc. (GDYN) Q3 2025 Earnings Call Transcript
Positive10-30
The earnings call summary reveals positive momentum in AI and data growth, strategic acquisitions, and geographic expansion. The Q&A section highlights optimism in AI-based solutions and a share repurchase program, signaling confidence in the company's value. Despite some concerns about growth timing and margin expansion details, the overall sentiment is positive, driven by strong AI strategy, client expansion, and a focus on innovation. These factors, combined with a share repurchase plan, suggest a likely positive stock price movement in the near term.
Grid Dynamics Holdings, Inc. (GDYN) Q2 2025 Earnings Call Transcript
Positive8-1
The earnings call summary shows strong financial performance, strategic AI initiatives, and effective cost management. Despite some macroeconomic concerns, the company remains optimistic about future growth, especially in AI-driven projects. The Q&A section reveals positive client reception to AI models and expanding partnerships, although there is some caution regarding client count stabilization. Overall, the company's strong financial health, strategic focus on AI, and positive guidance suggest a likely stock price increase in the coming weeks.
GDYN Slides
GDYN Report
Frequently Asked Questions
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