XBP Global Holdings, Inc.

What they do

XBP Global operates two segments: Applied Workflow Automation, which provides AI-enabled workflow services including payment processing, data capture, analysis, decisioning and distribution, and Technology, which sells recurring software licenses, related maintenance, hardware and professional services. It generates revenue through transaction-based processing fees, fixed-fee managed services, and recurring software licenses and maintenance, plus professional services for configuration and integration. As of June 30, 2026 it had approximately 9,200 employees in 20 countries, and as of December 31, 2025 it served more than 2,500 clients.

Revenue drivers

• Applied Workflow Automation segment — Revenue primarily from transactions processed, spanning payment processing, data capture, analysis, decisioning, distribution and transformation, mainly in the Americas and Europe and increasingly in Asia.
• Technology segment — Recurring software licenses and related maintenance, hardware solutions and related maintenance, and professional services.
• XBP Platform (Exchange for Bills and Payments) — Secured network for billers, consumers and businesses offering multi-channel bill presentment and payment, reconciliation, exception and dispute management, ageing analytics and collections management; also offered to SMBs for order-to-cash and receivables management.
• Commercial model mix — Revenue comes from transaction-based processing fees, fixed-fee managed services, and recurring software licenses and maintenance, along with professional services for system configuration and integration.

Recent performance

For the quarter ended June 30, 2026, revenue was $191.3 million, down 14.0% year-over-year on a pro forma basis. Gross margin was 21.5% and adjusted gross margin was 24.9%, up 290 basis points year-over-year on a pro forma basis; the company reported a net loss of $16.7 million and Normalized EBITDA of $21.9 million, up 8.4% year-over-year on a pro forma basis. The company closed $121.3 million of total contract value, up 51.6% year-over-year, and $36.0 million of new annual contract value, up 57.0% year-over-year. Earlier reported quarterly revenue was $182.7 million for 2025-06-30, $152.4 million for 2025-09-30, and $197.1 million for 2026-03-31.

Strategy

The company is deploying artificial intelligence, including agentic AI and machine learning, into its core platforms to automate enterprise workflows, and it has raised its target for annualized operational efficiencies from AI-led automation to $65 to $75 million from a prior $55 to $60 million, with an expected 2026 in-year benefit of approximately $35 million. Management said demand is strongest where organizations require secure, on-premise automation with strict data sovereignty and human oversight, particularly healthcare, while public sector contract timing remains volatile. The company has engaged a financial advisor in connection with previously announced strategic alternatives. Its priorities for the balance of the year are converting the pipeline and advancing AI-driven automation and structural margin improvement.

Risks

• AI execution and monetization risk — The 10-K states the AI strategy requires substantial upfront and ongoing investment and that failure to develop or monetize AI-enabled platforms could materially harm the business.
• Margin compression from automation — The 10-K warns that deploying AI to automate work previously performed by the company's own workforce could displace higher-margin managed service revenues faster than new AI-enabled revenue replaces them.
• Revenue decline — Second quarter 2026 revenue of $191.3 million declined 14.0% year-over-year on a pro forma basis, and the company reported a $16.7 million net loss for the quarter.
• Integration and listing risk — The 10-Q cites risks related to integration and performance of the combined business, market conditions, data security, reliance on third party service providers, and the ability to meet applicable listing standards.

Outlook

Management expects annualized operational efficiencies of $65 to $75 million from AI-led automation, up from the prior $55 to $60 million target, with approximately $35 million expected to be realized during calendar year 2026. The company says demand is strongest in secure, on-premise automation with strict data sovereignty and human oversight, particularly healthcare, while public sector contract timing remains volatile. It has engaged a financial advisor in connection with previously announced strategic alternatives. Reported priorities for the balance of the year are converting the pipeline and advancing AI-driven automation and structural margin improvement.