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Cognizant Technology Solutions Corporation Q2 2026 Earnings Call Summary

Cognizant Technology Solutions Corporation Q2 2026 Earnings Call Summary

Moby Intelligence

Wed, July 29, 2026 at 11:33 PM GMT+3 4 min read

Cognizant Technology Solutions Corporation Q2 2026 Earnings Call Summary - Moby

Strategic Performance and Operational Drivers

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  • Delivered 4.1% year-over-year constant currency revenue growth, led by strong performance in North America as large deals signed over the past year moved into full execution.

  • Financial services grew 12% year-over-year, marking the second consecutive quarter of double-digit growth and serving as a leading indicator for broader AI adoption across other industries.

  • Accelerated the transition from a traditional systems integrator to an 'AI builder' by launching a dedicated AI market unit and the Cognizant AI delivery operating system to bridge the gap between AI experimentation and measurable enterprise value.

  • Reported that over 40% of software development is now AI-assisted, contributing to a 7.1% increase in adjusted operating income per associate.

  • Expanded the BPO practice through 'agentic' business operations, shifting the focus from labor-intensive tasks to embedding AI intelligence directly into business processes and industry-specific platforms like TriZetto.

  • Completed the acquisition of Astreya to strengthen data center infrastructure and digital workplace capabilities, specifically targeting the growing demand for AI infrastructure buildouts.

  • Shifted economic models toward fixed-price and transaction-based work to capture productivity gains from AI and move toward underwriting business results rather than just delivering projects.

Outlook and Strategic Assumptions

  • Revised full-year revenue guidance to 4% to 5.5% growth in constant currency, reflecting persistent macro uncertainty and cautious discretionary spending at the midpoint.

  • Guidance assumes a superior sequential growth ramp in Q4 compared to historical trends, driven by the conversion of large deal bookings into billable volumes and an expected lower proportion of year-end furloughs.

  • Maintained adjusted operating margin guidance of 16% to 16.2%, supported by Project LEAP efficiencies which are expected to deliver full-year benefits in 2027.

  • Plans to scale the 'Cognizant Forward' team to 5,000 Frontier-certified engineers and 10,000 Frontier business operators to manage blended human-digital delivery teams.

  • Anticipates continued momentum in large deals ($50M-$100M range) and expansion into 'physical AI' for industrial clients, leveraging expertise in model training and robotics infrastructure.

Structural Adjustments and Risk Factors

  • Recorded an $81 million one-time benefit from a partial reversal of India defined contribution liabilities following new government regulations, which partially offset $84 million in Project LEAP restructuring costs.

  • Noted that while AI capability is growing, one in four enterprises have paused deployments due to unrealized productivity gains, representing a significant 'value gap' the company aims to address.

  • Increased interest expense following a $1 billion drawdown on the revolving credit facility to fund the Astreya acquisition and aggressive share repurchases.

  • DSO increased to 88 days, up five days year-over-year, which management attributed to changes in the business mix rather than collection issues.

Q&A Session Highlights

Large deal momentum and second-half ramp expectations

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  • Management noted that while TTM bookings growth was 5%, the first half saw a 10% increase in the mix of new business, which will translate to incremental revenue in the second half.

  • Confirmed that $50 million to $100 million deals have seen a 'massive bump' in volume, providing a more diversified pipeline beyond mega-deals.

Optimization of AI token economics and client spending

  • Ravi Kumar explained that the market is shifting from 'token consumption' to 'token economics,' where clients seek to optimize costs by using open-weight models for simple tasks and reserving expensive frontier models for advanced reasoning.

  • Cognizant is increasingly bundling pre-training and inference costs into outcome-based rate cards to simplify AI adoption for enterprises.

Headcount planning and gross margin sustainability

  • CFO Jatin Dalal stated that headcount is expected to remain 'range-bound' rather than increasing, as Project LEAP efficiencies offset the hiring of 20,000 recent college graduates.

  • Management expects gross margins to continue showing sequential improvement throughout the year as operational efficiencies take hold.

Managed services renewal cycle and AI efficiency crossover

  • Management estimated they are roughly halfway through the cycle of embedding AI efficiencies into the fixed-price book of business, which typically has 24-36 month contract durations.

  • The goal is to use AI-led productivity to outbid competitors while remaining margin-accretive by capturing the 'non-linearity' of digital labor.

Kaynak: Yahoo Finance
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