Grid Dynamics Q2FY26 Results: Revenue up 7% YoY to $108.2 million

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Reviewed by
Suketu GScanX News Team
Key Highlights
  • Revenue rose 7% YoY to $108.2 million, beating the high end of guidance
  • Non-GAAP EBITDA expanded to $14.7 million (13.6% margin) from $12.5 million
  • AI revenue grew 54.6% YoY, now comprising 30.7% of total sales
  • Headcount fell to 4,838 as non-engineering roles were rationalized
  • Full-year FY26 revenue outlook maintained at $435-465 million
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Grid Dynamics Holdings (NASDAQ: GDYN) reported second-quarter fiscal year 2026 revenue of $108.2 million, exceeding the high end of its guidance range of $106 million to $108 million. The result represents a 7% year-over-year increase, driven by strong performance in technology and financial services verticals.

Non-GAAP earnings reached $14.7 million, or 13.6% of revenue, up from 12% in the first quarter of FY26. GAAP net income stood at $2.9 million, or $0.03 per diluted share, marking a turnaround from a net loss of $1.5 million in the prior quarter.

Financial Performance

The company’s top-line growth was supported by vendor consolidation among key technology clients and expanding AI programs. TMT remained the largest vertical, contributing 31.8% of total revenue with 36.4% year-over-year growth. The finance vertical accounted for 22.9% of revenue, while retail contributed 26.5%, remaining flat year-over-year.

Metric Q2FY26 Q1FY26 YoY Change
Revenue $108.2 million Not disclosed +7%
Non-GAAP EBITDA $14.7 million $12.5 million +15.8%
Non-GAAP Margin 13.6% 12.0% +160 bps
GAAP Net Income $2.9 million -$1.5 million N/A

Gross profit on a non-GAAP basis was $40 million, or 36.9% of revenue, compared to 34.7% in the same quarter last year. Management attributed the margin expansion to revenue growth outpacing delivery costs and improved resource utilization.

What the Numbers Show

AI revenue now constitutes 30.7% of total company revenue, growing 54.6% year-over-year. This marks the first time AI contributions have crossed the 30% threshold. Partner-influenced revenue, primarily from hyperscalers like Google Cloud, AWS, and Microsoft Azure, reached 19.1% of total revenue, with management targeting 25-30% in the long term.

Operational Updates

Headcount decreased to 4,838 employees from 4,964 in the first quarter of FY26. The reduction was driven by efficiency improvements in non-engineering roles rather than billable staff. US headcount rose to 7.8% of the total workforce from 7.2% a year ago.

Customer concentration increased, with the top five customers accounting for 43.5% of revenue, up from 37.5% in the prior year. The top ten customers contributed 61.5% of revenue.

Outlook

For the third quarter of FY26, Grid Dynamics expects revenue between $112 million and $114 million. Non-GAAP EBITDA is projected at $16.5 million to $17.5 million. The full-year revenue outlook remains unchanged at $435 million to $465 million.

Cash and cash equivalents stood at $298.4 million as of June 30, 2026, down from $327.5 million at the end of March 2026. The company repurchased approximately 2.6 million shares for $17.3 million during the quarter.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the increasing concentration of revenue among the top five customers impact Grid Dynamics' pricing power and risk profile in future quarters?

What specific strategies is Grid Dynamics employing to accelerate partner-influenced revenue from its current 19.1% toward the long-term target of 25-30%?

Could the continued reduction in non-engineering headcount sustain margin expansion without negatively affecting client satisfaction or operational efficiency?

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Grid Dynamics appoints Ivanov as VP, Head of AI strategy

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Reviewed by
Naman SScanX News Team
Key Highlights
  • Grid Dynamics appoints Nikita Ivanov as Vice President, Head of AI
  • Ivanov will oversee GAIN platforms and AI-SDLC tools like Allium
  • AI currently drives more than 30% of the company's total revenue
  • Ivanov brings 20+ years of experience from GridGain and DataStax
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Grid Dynamics Holdings, Inc. (NASDAQ: GDYN) has appointed Nikita Ivanov as Vice President, Head of AI. The company aims to accelerate its transition toward AI-native software delivery for Fortune 1000 clients under his leadership.

Ivanov will oversee all elements of Grid Dynamics AI Native (GAIN) platforms. His role focuses on helping clients convert AI pilots into measurable production value.

Executive Background

Ivanov brings over two decades of experience founding and scaling technology companies. He previously founded GridGain, a distributed computing firm, where he served for 15 years. During that tenure, he also founded the Apache NLPCraft framework and Humatron AI. Most recently, he served as Field CTO for GenAI at DataStax.

Dr. Eugene Steinberg, Chief Technology Officer, highlighted Ivanov’s technical depth and founder instincts. Steinberg noted that Ivanov’s experience with open-source communities is critical for expanding the GAIN platforms into a broader ecosystem.

Strategic Focus

The appointment aligns with Grid Dynamics’ long-term investment in artificial intelligence. The company began investing in deep learning and reinforcement learning in 2018. It has since expanded into advanced analytics, generative AI, and agentic AI.

AI now drives more than 30% of Grid Dynamics’ total revenue. Ivanov will lead the development of AI-SDLC tools, including Allium, Rosetta, and SpecFlow, which are released as open source.

What the Numbers Show

The disclosure that AI contributes more than 30% of total revenue indicates a significant structural shift in the company’s earnings mix. This concentration suggests that future growth trajectories are increasingly tied to the adoption rates of generative and agentic AI solutions rather than legacy services.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the open-source strategy for AI-SDLC tools like Allium and Rosetta impact Grid Dynamics' competitive moat against proprietary AI platforms?

What are the projected timelines for converting current AI pilot projects into production-ready solutions under Ivanov's leadership?

Could the heavy reliance on AI-driven revenue (over 30%) expose Grid Dynamics to increased volatility if enterprise AI adoption slows?

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