S&P Global's AI-First Pivot: Riding the Data Center Wave
Post-spin, the benchmark business accelerates AI monetization via Kensho Data and flexible distribution.
SPGI · Earnings Call · 2026-07-28
The Quarter, at a Glance
S&P Global delivered a standout Q2: 11% revenue growth, 23% EPS growth, and 200bps of margin expansion. The company completed the Mobility spin, realigned Market Intelligence, and raised its 2026 buyback target to over $7 billion. As “we delivered another quarter of strong financial results, including 11% revenue growth and 23% growth in adjusted diluted EPS” — Eric Aboaf, Chief Financial Officer · 2026-07-28, Eric Aboaf and Martina Cheung attributed the momentum to the power of their benchmark franchise. Indeed, “these benchmark businesses account for nearly 2/3 of our revenue and now comprise more than 80% of our operating profits” — Martina Cheung, President and Chief Executive Officer · 2026-07-28 — a structural shift that gives the company a high-margin engine in a volatile macro environment.The AI Monetization Shift
The real change is how S&P is now selling its data. With the mobility spin taking a lower-margin, non-core division out of the picture, the company is doubling down on AI-ready content. Kensho Data and LLM-ready APIs are seeing explosive demand—API call volume grew 5x quarter-over-quarter, and the number of MCP-connected clients crossed 500. The strategic pivot is to distribute content "channel-agnostically": through internal platforms, third-party LLMs, and new flexible APIs. Martina described the monetization approach on this call: “we've had a strong second quarter with record level performance in 2 of our benchmark businesses, the launch of Mobility Global and really growing traction in our AI-enabled client solutions” — Martina Cheung, President and Chief Executive Officer · 2026-07-28. This is a direct continuation of the forward-looking strategy laid out earlier in the year: "We don't do seat-based licensing. We don't do usage only. We track usage, channels, the value we create... and price accordingly." (from the April 2026 call). What makes this unique is the company's position at the intersection of two global themes: AI infrastructure financing and data center intelligence. In Ratings, hyperscaler issuances for data center CapEx are a major tailwind; in Energy, the acquisition of datacenterHawk expands its data center supply-chain analytics. The market's broader tape is also voting for this—data center, AI infrastructure, and high-performance computing keywords are among the top 90-day advancers. S&P is riding that wave, not just as a data provider but as a benchmark for the AI economy itself.Financial Engineering: Higher Margins, More Buybacks, More Debt
The spin and realignment are designed to lift margins. Operating margin for the quarter reached 48%, up 6.2pp year-over-year. The 200bps consolidated margin expansion was driven by high incremental margins in Ratings and Indices, plus disciplined expense management that included a 270bps benefit excluding OSTTRA. On the capital side, the company increased buybacks to $7 billion while issuing ~$2 billion in debt in the second half, pushing gross leverage to 2.7-2.8x (above the 2.0-2.5x target). This is a deliberate trade: buying back >5% of market cap while investing in AI—funded by productivity and a rising debt load.Risks: Iran, Sales Cycles, and Token Costs
Not everything is smooth. The Iran conflict is pressuring Energy subscription renewals, and extreme volatility actually dampens GTS trading volumes. Longer sales cycles are emerging with larger clients as they negotiate AI-related IP terms, and customers are increasingly cost-conscious about token spend on their own AI stacks. Yet management frames these as transient: "The headwinds are cyclical while the tailwinds are secular." The company's resilience is also visible in the tape—SPGI is up 3.8% over the last 90 days despite a 23% drawdown from its 2025 peak, and the recent momentum is positive.The Bottom Line
S&P Global is repositioning itself as the data backbone of the AI economy. By divesting Mobility and reorganizing around benchmark businesses and Kensho Data, it's simplifying the story and betting on flexible distribution. The strategy is already showing results in above-market ACV growth (60% faster for AI customers in MI) and record inflow capture in Indices. As Martina concluded:The question now is whether the AI monetization can continue to compound into double-digit revenue growth, or whether token-cost scrutiny and a cooling credit cycle put a dent in the narrative. Either way, S&P has made a clear bet on being the measurement standard for the AI-driven markets.We are primarily a benchmark business. Benchmarks include our Ratings division, our Indices division, the Platts business within our Energy division and the distribution of our Ratings content through Market Intelligence.