S&P Global warns of lighter 2026 profits as shares plunge on AI fears

S&P Global issued full-year guidance for 2026 that fell short of market expectations, forecasting adjusted diluted earnings per share of $19.40 to $19.65 and triggering a steep premarket collapse in its stock that approached 18 percent and sent the shares to their weakest level in more than two years. The reaction underscored investor sensitivity to forward guidance in an environment reshaped by artificial intelligence and fast-moving technology markets.

The company's fourth-quarter results were mixed. S&P reported adjusted EPS of $4.30, a narrow miss of the $4.33 analyst estimate, and quarterly revenue of $3.92 billion, up 9 percent year over year. For the prior full year the company reported adjusted EPS of $17.83, a rise of about 14 percent. Market consensus figures against which S&P’s guidance was compared vary slightly; market data compiled by LSEG showed a consensus near $19.94, while other market trackers printed $19.96.

Analysts said the guidance, more than the modest quarterly shortfall, drove the selloff. Jeffrey Silber of BMO Capital described the results as a tight miss against a higher bar and said that "2026 guidance missed consensus," adding that the Ratings unit's 4 to 7 percent organic constant-currency growth guide was "weak." Shlomo Rosenbaum of Stifel called the results "mixed" and warned the stock was "likely to be pressured," noting lower-than-expected free cash flow and guidance that sits below medium-term targets set in December. A market strategist at ClearStreet warned that "the AI anxiety will likely linger, and the shares could be under pressure today unless there is a good explanation on the call."

The episode highlights a central tension for data and analytics providers. Investors are weighing whether rapid advances in AI will compress the pricing power of information businesses whose outputs can be summarized or replicated by machines, or whether firms with proprietary datasets and regulatory roles will remain insulated. As one market commentary put it, "In an AI-obsessed market, forward guidance can move prices more than a quarter’s results."

Countervailing forces complicate the narrative. Technology companies are increasing bond issuance to fund AI infrastructure and cloud capacity, a trend that supports demand for credit ratings and related analytics. That dynamic could provide a structural tailwind for S&P’s ratings franchise even as other parts of the business face tougher comparisons or shifting customer priorities.

For investors and policy observers, the episode has broader implications. Short-term share-price volatility reflects re-pricing risk across the software and services segment that houses many data firms. Over the longer term, the sector faces a redefinition of competitive moats as machine learning augments or substitutes human-produced analytics. Regulators and market participants will watch whether changes in bond issuance patterns and the expanding role of AI prompt adjustments in how ratings, indices, and data services are used in regulated workflows.

The immediate watchlist is simple: management's earnings-call explanation of the guidance, updated segment-level trends for ratings and indexes, and exchange-stamped trading data to reconcile the premarket plunge with intraday moves. Those answers will shape whether investors view February’s drop as a durable re-rating or a near-term overreaction in a market hypersensitive to AI-driven uncertainty.