Отчётный звонок Cognizant Technology Solutions Corporation
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%.
Вывод Buzzberg 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%. Читать полный анализСвернуть анализ
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.
Что важно сейчас
Самые значимые изменения по итогам звонка.
Raises full-year margin guidance to 16-16.2%
Plans to hire more freshers in 2026 than 2025
Показать ещё 3 тезиса
AI engagements grow to 5,000 from 4,000
Launch of Project Leap to reshape operating model
M&A focused on AI builder strategy
Фактические результаты
| Показатель | Факт | Изменение |
|---|---|---|
| Выручка | $5.413B | +2% к/к |
| EPS | $1.40 | +4% к/к |
| Валовая маржа | 29.63% | Факт |
| Операционная маржа | 15.09% | Факт |
| Свободный денежный поток | $0.198B | Факт |
| Капзатраты | $0.076B | Факт |
Прогноз компании
| Показатель | Период | Диапазон | Середина | Статус |
|---|---|---|---|---|
| EPS | FY2026 | $5.63–$5.77 | $5.70 | Обозначен |
| Свободный денежный поток | FY2026 | 90%–100% | 95% | Подтверждён |
| Операционная маржа | FY2026 | 16%–16.2% | 16.1% | Повышен |
| Выручка | FY2026 Q2 | 3.2%–4.7% | 3.95% | Обозначен |
| Выручка | FY2026 | 4%–6.5% | 5.25% | Подтверждён |
Оценка менеджмента
Confident
Management highlights strong bookings growth, AI strategy traction, and reaffirms guidance, despite acknowledging macro uncertainty and softer discretionary spending.
Оценка AI от менеджмента
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.
Инвестиции и мощности
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.
Компаниис момента звонка
Клиенты
Daimler Truck is a client for Cognizant's WorkNext platform for global workplace services.
Доказательства
“And with Daimler Truck, we will use Cognizant WorkNext to transform and modernize its global workplace services.”
Партнёры
Cognizant names Anthropic as a key strategic partner for its AI-driven software engineering productivity stack.
Доказательства
“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.”
Cognizant is partnering with Palantir in a strategic partnership to advance AI-driven intelligence in healthcare operations.
Доказательства
“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.”
Цепочка поставок
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.
Доказательства
“We are beginning to see the emergence of AI-infused rate cards, where pricing reflects a blended model of human effort and digital effort.”
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.
Доказательства
“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.”
Альфа цепочки поставок · 2с момента звонка
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.
Методология и полнота
Анализ основан только на заявлениях менеджмента. Показаны все подтверждённые упоминания компаний: 9. Фактические результаты и прогнозы разделены. Публичные доказательства ограничены восемью короткими атрибутированными цитатами. AI-анализ может быть неполным или ошибочным — проверяйте важные утверждения по первоисточнику.