TL;DR:

• London Stock Exchange Group has lifted its full-year guidance after a strong Q1: total income rose 9.8%, Markets division grew 15.5%, and more than 150 customers are now connected to or integrating its AI-feeding Model Context Protocol server.
• The firm now expects full-year revenue growth at the upper end of its 6.5-7.5% target, EBITDA margins to improve by 80-100 basis points, and at least £2.7bn in equity free cash flow.
• LSEG has become one of the clearest UK-listed AI-revenue datapoints: a FTSE 100 index operator attributing concrete earnings acceleration to its AI-product distribution — comparable in signal value to Microsoft’s Moody’s-in-Copilot announcement the same day.

London Stock Exchange Group has upgraded its full-year outlook following first-quarter results that the company described as “record levels” of data utilisation. Total income grew 9.8% in the three months to March, with the Markets division particularly strong at 15.5% growth on elevated trading volumes and market volatility. Subscription revenues — the steadier component — rose 6.3% with acceleration across all segments compared with the prior quarter.

What changed in the guidance

Management now projects full-year revenue growth in the upper portion of its 6.5-7.5% target range. EBITDA margins are expected to improve by 80-100 basis points, and equity free cash flow is now expected to be at least £2.7 billion. LSEG returned £1.1 billion to shareholders in Q1 via buyback and remains on track to complete a £3 billion buyback programme by early 2027.

The AI-product attribution

LSEG’s guidance uplift is directly attributed to AI product traction. More than 150 customers are now connected to or integrating with its Model Context Protocol server, which channels LSEG data into AI and cloud environments. Chief Executive David Schwimmer highlighted progress distributing “AI-ready data” through the LSEG Everywhere strategy, and flagged new AI tools inside LSEG Workspace as a rollout priority.

Why the MCP number matters

The 150-plus MCP customer disclosure is the more strategically significant datapoint than the revenue beat. MCP — originally published by Anthropic — has in the last six months become the default protocol for bringing regulated data into enterprise AI tools, particularly Microsoft 365 Copilot and Claude enterprise deployments. Today’s separately-announced Microsoft and Moody’s partnership follows the same architecture pattern. If MCP becomes the enterprise-AI data-distribution default, LSEG’s 150 customers represents a significantly defensible channel for its financial-markets data — comparable to how Bloomberg terminals locked in an earlier generation of institutional workflows.

For UK-listed FTSE 100 investors and financial-services buyers, LSEG’s upgrade is one of the most concrete AI-revenue datapoints yet published from a UK-domiciled firm. It is materially different in signal value from a US hyperscaler’s AI-revenue disclosure, because LSEG’s revenue comes from enterprises integrating MCP into workflows rather than from infrastructure compute.

Looking forward

The test is the durability of the MCP customer growth. If LSEG announces 200-plus customers at interims, the AI-revenue thesis strengthens materially. If the number stalls, the Q1 beat will look more like a cyclical trading-volume story than an AI story. Watch also for competitive pressure: S&P, FactSet and Bloomberg are all building comparable MCP roadmaps, and LSEG will need to defend its protocol-layer position as those ship.