S&P 500 earnings rose 50.4% in Q2 2026, largely boosted by AI investment gains. When stripping away these one-time accounting profits, the underlying growth rate is closer to 30%. Investors are now questioning the sustainability of the AI ecosystem and complex financing models.
The second-quarter earnings season for the S&P 500 has concluded with a headline growth figure of 50.4%, an impressive number driven by the technology sector. However, a deeper look reveals that much of this performance is tied to one-time accounting adjustments rather than just sales from core operations. When analysts remove these specific investment gains, the underlying earnings growth for the quarter stands at a more modest 29% to 31%.
The Impact of AI Valuations
A significant driver of the headline profit growth was the mark-to-market gains from AI investments. In simple terms, this happens when a company reports a profit because the value of its stake in a private startup has risen on paper. Giants like Alphabet and Amazon reported substantial non-operating income during the quarter, largely due to their stakes in the AI firm Anthropic. While these companies recorded these gains on their balance sheets, it is important for investors to distinguish between cash generated from regular business operations and the fluctuating value of investment portfolios.
Concerns Over 'Circular Financing'
Beyond accounting gains, the AI sector is facing scrutiny over its financing models. Analysts have raised questions about what is being termed as circular financing. This occurs when a tech giant invests in an AI startup, and that startup subsequently uses those funds to purchase hardware or services from the same tech giant. A recent example is the financial commitment by Nvidia, which guaranteed up to $105 billion in lease obligations for an OpenAI data center project in Ohio.
Investors are watching these arrangements closely to see if they represent real demand for technology products or if they are essentially self-funded cycles that inflate revenue figures. While JP Morgan recently raised its S&P 500 year-end target to 8,000, citing tangible returns from AI, the risk remains that if these AI projects do not eventually lead to clear, sustainable revenue, the current high capital spending could pressure free cash flow and profit margins.
What Investors Should Track
The market’s focus has shifted from simple growth numbers to the quality of earnings. With valuations for many tech stocks remaining elevated above their historical averages, the ability of these companies to turn massive capital spending into actual profit will be the primary concern. Anthropic, for its part, reported its first profitable quarter with $11.5 billion in booked revenue, providing some evidence that the frontier AI business model may be maturing.
However, the concentration of market leadership remains a key risk. A significant portion of the total S&P 500 returns is driven by a very narrow group of AI-related stocks. If there is a sector-specific correction, the broader market may be vulnerable. Investors will likely continue to monitor whether companies can maintain profit margins despite the heavy costs required to build and maintain AI infrastructure.