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FY2026 Q2
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Cognizant Technology Solutions Corporation earnings call
Buzzberg read
Financial services growth accelerates to 12%, leading portfolio
Cognizant reported solid Q2 2026 results, beating on revenue growth (4.1% YoY) and expanding margins. However, management guided full-year revenue growth lower due to a cautious discretionary spending environment, while raising EPS guidance due to share buybacks. The call heavily emphasized the 'AI builder' strategy, with financial services leading growth, and a focus on shifting to outcome-based pricing and AI-driven business operations. Revenue grew 4.1% year-over-year in constant currency to $5.5 billion, at the high end of expectations, driven by financial services (12% growth).
Buzzberg read Financial services growth accelerates to 12%, leading portfolio Cognizant reported solid Q2 2026 results, beating on revenue growth (4.1% YoY) and expanding margins. However, management guided full-year revenue growth lower due to a cautious discretionary spending environment, while raising EPS guidance due to share buybacks. The call heavily emphasized the 'AI builder' strategy, with financial services leading growth, and a focus on shifting to outcome-based pricing and AI-driven business operations. Revenue grew 4.1% year-over-year in constant currency to $5.5 billion, at the high end of expectations, driven by financial services (12% growth). Read full analysisCollapse analysis
Cognizant reported solid Q2 2026 results, beating on revenue growth (4.1% YoY) and expanding margins. However, management guided full-year revenue growth lower due to a cautious discretionary spending environment, while raising EPS guidance due to share buybacks. The call heavily emphasized the 'AI builder' strategy, with financial services leading growth, and a focus on shifting to outcome-based pricing and AI-driven business operations. Revenue grew 4.1% year-over-year in constant currency to $5.5 billion, at the high end of expectations, driven by financial services (12% growth).
- Full-year revenue guidance was lowered to 4%-5.5% growth from prior 5%-7% due to macro uncertainty and a cautious demand environment, though EPS guidance was raised to $5.70-$5.82.
- The company is shifting to an 'AI builder' model, focusing on AI-driven business operations and outcome-based pricing. Over 40% of software development is AI-assisted, and they have 8,000 AI engagements.
- Financial services is seen as a leading indicator for AI adoption, growing at 12% and driven by both productivity-led consolidation and new discretionary AI projects.
Revenue$5.481B+1% QoQ
EPS$1.37-2% QoQ
Gross margin33.37%Reported
Operating margin15.95%Reported
6 grounded callouts
What matters now
The highest-signal changes from the call.
AI
AI-assisted software development now exceeds 40%
Guidance
Full-year revenue guidance revised down due to macro uncertainty
Show 3 more callouts
Margins
Project LEAP on track, with $84M Q2 costs and full-year benefits next year
Guidance
EPS guidance raised despite revenue cut, driven by buybacks and margins
AI
Plans to scale frontier certified workforce to 15,000
Reported period
Actuals
| Metric | Reported | Change |
|---|---|---|
| Revenue | $5.481B | +1% QoQ |
| EPS | $1.37 | -2% QoQ |
| Gross margin | 33.37% | Reported |
| Operating margin | 15.95% | Reported |
| Free cash flow | $0.459B | Reported |
| Capex | $0.099B | Reported |
Forward-looking
Forward guidance
| Metric | Period | Range | Midpoint | Status |
|---|---|---|---|---|
| EPS | FY2026 | $5.70–$5.82 | $5.76 | Raised |
| Free cash flow | FY2026 | 90%–100% | 95% | Maintained |
| Operating margin | FY2026 | 16%–16.2% | 16.1% | Maintained |
| Revenue | FY2026 Q3 | 3.8%–5.3% | 4.55% | Guided |
| Revenue | FY2026 | 4%–5.5% | 4.75% | Lowered |
AI, capex & demand read
Management read
Confident
Ravi Kumar highlighted strong financial services growth, robust bookings, and a clear strategy for AI-led expansion, expressing optimism about the second half of the year despite caution in discretionary spending.
Management AI read
Management emphasized AI as a core growth driver, with over 40% of software development now AI-assisted and 8,000 AI engagements. They are expanding from AI-led productivity to business operations and physical AI, aiming to capture a larger enterprise operations market by shifting to outcome-based pricing and underwriting results.
all 14 named companies below
Companiesreturns since call
Customers
Customers
Ravi Kumar
Novartis has committed to a five-year AI transformation with Cognizant, indicating a strong and ongoing investment in AI-driven operations.
Evidence
“A great example of our success in this area is Novartis, which selected Cognizant earlier this year for a five-year engagement to transform its global idea operations.”
TVPT
Customers
Ravi Kumar
Travelport is undergoing a major AI-driven modernization, indicating a significant shift toward AI-native platforms in the travel industry.
Evidence
“An example of this partnership at work is Travelport, where we partnered with Anthropic on a strategic AI transformation aimed at modernizing Travelport's software development and embedding AI across Travelport's travel, retailing, and”
Partners
Partners
Ravi Kumar
Deepens Cognizant's relationship with Google, expanding its footprint in Google's corporate engineering environment, which could lead to more joint enterprise deals.
Evidence
“Astria will continue its work with Google, to deliver services across its corporate engineering environment, including global ID ops, workplace collaboration, infrastructure, and platform services.”
Partners
Ravi Kumar
The partnership with Cisco is focused on AI-driven context engineering, potentially opening new revenue streams for Cisco in AI infrastructure and software.
Evidence
“Working with Cisco, we are using context fabric to build a digital signature of the account management role, forming the foundation for an account manager's digital twin and broader identification solutions.”
Partners
Ravi Kumar
Cognizant is partnering with leading security vendors to deliver AI-driven security solutions. This validates CrowdStrike's platform as a key component in enterprise AI security transformations.
Evidence
“We are positioned for this moment by combining frontier models with our 5,000 person security practice and all the leading frontier program partners including CrowdStrike, Palo Alto Networks, Gscaler, Anthropic, OpenAI, Microsoft, and Red”
ANTHROPIC
Partners
Ravi Kumar
Expanded partnership with Anthropic and won a strategic AI transformation project at Travelport, solidifying Anthropic's position in the enterprise AI market and driving adoption.
Evidence
“We also expanded our partnership with Anthropic, becoming one of the small number of global premier partners in the cloud partner network.”
OPENAI
Partners
Ravi Kumar
Cognizant is leveraging OpenAI's ecosystem to build and deploy AI solutions for enterprises, highlighting OpenAI's expanding influence in the enterprise market.
Evidence
“We joined OpenAI's Debe consortium. We also expanded our partnership with Anthropic”
Partners
Cognizant and Snowflake are collaborating on AI agent deployment for media clients, reinforcing Snowflake's value in AI workloads.
Ravi Kumar
Partners
Cognizant is leveraging Microsoft's cloud and AI capabilities (Azure, etc.) to deliver next-gen infrastructure and AI solutions to its clients.
Ravi KumarSupply chain
Supply chain
Financial services is growing at 12% and is leading AI adoption, with 50% of large deals being productivity-led, indicating a potential acceleration in AI-driven transformation in other verticals. — This benchmark could signal a broader enterprise AI spending cycle, potentially benefiting large IT services firms with similar capabilities.
Ravi KumarExternal signals
Supply-chain alpha · 3returns since call
Financial services is growing at 12% and is leading AI adoption, with 50% of large deals being productivity-led, indicating a potential acceleration in AI-driven transformation in other verticals.
Cognizant is shifting from a labor-based to an outcome-based pricing model, with 50% of its business now under fixed-price contracts. This transformation is expected to be fully completed in the next 18 months as all contracts renew.
Enterprise clients are pausing AI deployments to focus on token economics, shifting from experimental AI adoption to production-grade implementations that require substantial integration and context engineering.
Methodology & coverage
Management-only analysis. All 14 validated company mentions are shown. Reported actuals and forward guidance are kept separate. Public evidence is limited to eight short attributed quotes. AI-generated analysis can be incomplete or wrong; verify important claims against the original source.