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To own S&P Global, you need to believe its data, benchmarks, and ratings remain essential to capital markets and that its AI investments can support that role without eroding profitability. The expanded Microsoft 365 Copilot integration reinforces the near term catalyst around monetizing AI-ready data and workflows, while also sharpening the existing risk that higher AI and product spending could pressure margins if customer uptake or pricing does not keep pace.
The most relevant recent announcement here is S&P Global’s July 2026 launch of Adaptive Retrieval through the AI Data Portal, which complements the Deterministic Retrieval used in the Microsoft integration. Together, these tools aim to make S&P’s content easier to access inside third party environments, tying directly into the catalyst of innovation driven revenue growth and broader use cases across Market Intelligence, energy transition datasets, and private markets workflows.
Yet behind the promise of embedded AI workflows, investors should also be aware of the risk that rising AI investment could...
Read the full narrative on S&P Global (it's free!)
S&P Global's narrative projects $17.2 billion revenue and $6.0 billion earnings by 2029. This requires 2.9% yearly revenue growth and about a $1.2 billion earnings increase from $4.8 billion today.
Uncover how S&P Global's forecasts yield a $518.72 fair value, a 19% upside to its current price.
Twelve members of the Simply Wall St Community value S&P Global between US$380 and US$520.14 per share, highlighting a wide span of expectations. Against that backdrop, the key question is whether integrating S&P’s AI-ready data into everyday Microsoft 365 workflows will translate into enough sustainable revenue growth to offset the risk of higher AI driven costs and margin pressure, so you may want to compare several of these viewpoints before forming your own view.
Explore 12 other fair value estimates on S&P Global - why the stock might be worth as much as 19% more than the current price!
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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
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