French IT services giant Capgemini has announced its plan to acquire India-based outsourcing firm WNS for $3.3 billion in cash. The deal values WNS shares at $76.50 each, reflecting a 17 per cent premium over its closing price on July 3. The transaction excludes WNS’s existing financial debt, Capgemini clarified in a press release issued on Monday, July 7.
Acquisition to boost earnings per share by 4 per cent in 2026
Capgemini expects the acquisition to contribute immediately to its revenue and operating margins. The company estimates the deal will increase its normalised earnings per share by 4 per cent in 2026, before synergies, and by 7 per cent in 2027, post-synergies.
Despite the acquisition, Capgemini has kept its financial guidance for the current year unchanged.
Capgemini to expand business consulting arm with AI focus
The move is aimed at strengthening Capgemini’s digital business process capabilities, particularly in the rapidly growing areas of Generative AI and Agentic AI. The company plans to build a business services consulting arm that will help enterprises transform operations using these advanced technologies.
WNS brings marquee clients and BPO expertise to Capgemini
WNS is known for offering services in business process outsourcing (BPO) and data analytics. Its clients include several major global companies such as Coca-Cola, T-Mobile and United Airlines. With this acquisition, Capgemini is looking to deepen its presence in the US market and expand its service portfolio.
Deal awaits regulatory nod
The deal will proceed via a Jersey court-approved scheme of arrangement, pending WNS shareholder approval and customary regulatory sign-offs. Capgemini expects to complete the acquisition by the end of 2025.
This acquisition firmly positions Capgemini as a global leader in AI-powered business operations. As enterprises increasingly invest in Agentic AI, the combined strengths of Capgemini and WNS aim to deliver business outcomes that go beyond cost savings—from generating new revenue streams to enabling agile, data‑driven decision-making.