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FY2026 Q1
개선
Cognizant Technology Solutions Corporation 실적 발표
Buzzberg 분석
Bookings growth of 21% year-over-year in Q1
Cognizant reported a solid Q1 2026 with 3.9% constant currency revenue growth, strong bookings growth of 21%, and raised operating margin guidance, driven by cost savings from Project LEAP. The company is positioning itself as an 'AI builder,' with a focus on outcome-based pricing, AI-infused rate cards, and partnerships with major AI players. Management acknowledged a softening demand environment and macro uncertainty but maintained full-year revenue guidance. Revenue grew 3.9% YoY in constant currency, with financial services growing over 10%.
Buzzberg 분석 Bookings growth of 21% year-over-year in Q1 Cognizant reported a solid Q1 2026 with 3.9% constant currency revenue growth, strong bookings growth of 21%, and raised operating margin guidance, driven by cost savings from Project LEAP. The company is positioning itself as an 'AI builder,' with a focus on outcome-based pricing, AI-infused rate cards, and partnerships with major AI players. Management acknowledged a softening demand environment and macro uncertainty but maintained full-year revenue guidance. Revenue grew 3.9% YoY in constant currency, with financial services growing over 10%. 전체 분석 보기분석 접기
Cognizant reported a solid Q1 2026 with 3.9% constant currency revenue growth, strong bookings growth of 21%, and raised operating margin guidance, driven by cost savings from Project LEAP. The company is positioning itself as an 'AI builder,' with a focus on outcome-based pricing, AI-infused rate cards, and partnerships with major AI players. Management acknowledged a softening demand environment and macro uncertainty but maintained full-year revenue guidance. Revenue grew 3.9% YoY in constant currency, with financial services growing over 10%.
- Bookings grew 21% YoY, with seven large deals over $100M TCV, including a mega deal over $500M.
- Company raised its operating margin guidance for 2026 to 16-16.2% due to Project LEAP savings.
- Introduced upcoming 'AI-infused rate cards' and 'tokenized rate cards' to reflect digital and human labor.
매출$5.413B+2% 전분기 대비
주당순이익(EPS)$1.40+4% 전분기 대비
매출총이익률29.63%보고값
영업이익률15.09%보고값
근거 있는 핵심 내용 6개
지금 중요한 점
이번 발표에서 가장 의미 있는 변화를 정리했습니다.
Margins
Raises full-year margin guidance to 16-16.2%
Supply
Plans to hire more freshers in 2026 than 2025
핵심 내용 3개 더 보기
AI
AI engagements grow to 5,000 from 4,000
Operations
Launch of Project Leap to reshape operating model
Capital Allocation
M&A focused on AI builder strategy
보고 기간
보고 실적
| 지표 | 보고값 | 변화 |
|---|---|---|
| 매출 | $5.413B | +2% 전분기 대비 |
| 주당순이익(EPS) | $1.40 | +4% 전분기 대비 |
| 매출총이익률 | 29.63% | 보고값 |
| 영업이익률 | 15.09% | 보고값 |
| 잉여현금흐름 | $0.198B | 보고값 |
| 자본지출 | $0.076B | 보고값 |
향후 전망
향후 가이던스
| 지표 | 기간 | 범위 | 중간값 | 상태 |
|---|---|---|---|---|
| 주당순이익(EPS) | FY2026 | $5.63–$5.77 | $5.70 | 제시 |
| 잉여현금흐름 | FY2026 | 90%–100% | 95% | 유지 |
| 영업이익률 | FY2026 | 16%–16.2% | 16.1% | 상향 |
| 매출 | FY2026 Q2 | 3.2%–4.7% | 3.95% | 제시 |
| 매출 | FY2026 | 4%–6.5% | 5.25% | 유지 |
AI, 자본지출 및 수요 분석
경영진 분석
Confident
Management highlights strong bookings growth, AI strategy traction, and reaffirms guidance, despite acknowledging macro uncertainty and softer discretionary spending.
경영진의 AI 분석
Management frames Cognizant as an 'AI builder,' with AI-led productivity, industrialization, and enterprise-wide AI adoption driving demand. They report over 5,000 AI engagements, 40% AI-assisted code, and emerging AI-infused rate cards and tokenized pricing models, while noting clients are cautious on large investments amid macro uncertainty.
투자 및 생산능력
Capex not specifically discussed on the call, but management announced the Project Leap program to restructure costs and fund AI investments, and the acquisition of Astria for AI infrastructure build-out. They also noted ongoing investment in AI capabilities and partnerships.
아래에 언급된 기업 9개 모두 표시
기업발표 이후 수익률
고객
고객
Ravi Kumar
Daimler Truck is a client for Cognizant's WorkNext platform for global workplace services.
근거
“And with Daimler Truck, we will use Cognizant WorkNext to transform and modernize its global workplace services.”
파트너
파트너
Ravi Kumar
Cognizant names Anthropic as a key strategic partner for its AI-driven software engineering productivity stack.
근거
“Our differentiated approach to autonomous software is rooted in engineering-led productivity powered by leading strategic partnerships like Anthropic Cloud, Google Gemini, Microsoft GitHub, and co-pilot Devin and OpenAI Codex.”
파트너
Ravi Kumar
Cognizant is partnering with Palantir in a strategic partnership to advance AI-driven intelligence in healthcare operations.
근거
“Additionally, we are building on our TriZerto product portfolio in a strategic partnership with Palantir to advance an outcomes-based intelligence platform that embeds AI-driven decisioning directly into healthcare operations.”
공급망
공급망
Ravi Kumar
Cognizant is planning for 'AI-infused rate cards' where pricing reflects a blended model of human and digital effort, moving toward outcome-based and tokenized pricing models. — This signals a fundamental shift in IT services pricing that could pressure traditional labor-based models and benefit firms that can effectively integrate AI agents.
근거
“We are beginning to see the emergence of AI-infused rate cards, where pricing reflects a blended model of human effort and digital effort.”
공급망
Ravi Kumar
Cognizant cites the cost of mainframe code refactoring dropping from $10 to $1.50 per line due to AI, unlocking a massive legacy modernization market. — This dramatic cost reduction could accelerate mainframe exits, potentially impacting IBM's legacy maintenance revenue streams.
근거
“Just to give you a sense, one line of mainframe code used to cost $10 to refactor to new age software, it now costs $1.50.”
외부 신호
공급망 알파 · 2발표 이후 수익률
Cognizant is planning for 'AI-infused rate cards' where pricing reflects a blended model of human and digital effort, moving toward outcome-based and tokenized pricing models.
Cognizant cites the cost of mainframe code refactoring dropping from $10 to $1.50 per line due to AI, unlocking a massive legacy modernization market.
방법론 및 범위
경영진 발언만 분석합니다. 검증된 기업 언급 9개를 모두 표시하며, 보고 실적과 향후 가이던스를 분리합니다. 공개 근거는 화자가 표시된 짧은 인용문 8개로 제한됩니다. AI 분석은 불완전하거나 틀릴 수 있으므로 중요한 주장은 원문에서 확인하세요.