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Goldman’s 8,000 year end target and $340 earnings per share forecast are now inseparable from a handful of corporate spending decisions rather than broad economic momentum, since capital expenditure is discretionary and a pullback by just two or three major hyperscalers could thin out the profit growth currently powering the index. NVIDIA’s own results illustrate the concentration directly, with more than 92% of its latest quarterly revenue coming from compute infrastructure sold largely to the same hyperscale buyers whose spending underpins Snider’s earnings estimate. Goldman’s positioning indicator, tracking hedge funds, mutual funds and other institutional investors, has fallen to its lowest reading since March 2026, a signal Snider frames as a stabiliser against a sharper selloff given how little crowded exposure remains to unwind. The next major test arrives with third quarter results and fiscal 2027 capital spending plans from Microsoft, Alphabet, Amazon and Meta, which Snider’s own framework flags as the leading indicator for index level earnings from here.
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Goldman’s 8,000 S&P 500 target increasingly depends on a handful of hyperscalers keeping their capital spending commitments, and NVIDIA’s own numbers show exactly how concentrated that bet has become.
Summary:
- Goldman Sachs chief US equity strategist Ben Snider raised the bank’s year end 2026 S&P 500 target to 8,000 from 7,600, backed by a 2026 earnings per share forecast of $340, implying 24% annual profit growth.
- Aggregate S&P 500 earnings grew 18% year over year in the first quarter, with the median company posting its strongest quarterly growth rate in a decade outside the 2018 tax cut surge and the post pandemic reopening, Goldman noted.
- Because capital spending is discretionary, Goldman flagged that a pullback by two or three major hyperscalers would thin out the profit growth currently powering the index.
- NVIDIA reported second quarter fiscal 2027 revenue of $96.2 billion, up 106% year over year, with data center revenue of $89.0 billion, up 117%, meaning more than 92% of quarterly sales came from compute infrastructure.
- NVIDIA guided third quarter revenue to $108 billion, and CEO Jensen Huang said compute capacity has become a revenue generating asset in its own right as AI demand accelerates.
- Goldman’s proprietary positioning indicator, tracking institutional investors, has dropped to its lowest reading since March 2026, which Snider said on CNBC helps cushion the market since less crowded exposure leaves less to unwind in a downturn, while Snider flags Microsoft, Alphabet, Amazon and Meta’s upcoming capital spending guidance as the next key data point.
Goldman Sachs has raised its year end 2026 target for the S&P 500 to 8,000 from 7,600, backed by a lift in the bank’s earnings per share forecast to $340, implying 24% annual profit growth for the index. Chief US equity strategist Ben Snider has framed an exceptionally strong first quarter as the foundation for that call, with aggregate S&P 500 earnings growing 18% year over year and the median company posting its strongest quarterly growth in a decade outside the 2018 tax cut surge and the post pandemic reopening. But Snider has also acknowledged the fragility underneath that strength: because capital spending is discretionary, a pullback by just two or three major hyperscale companies would thin out the profit growth currently driving the index toward his target.
NVIDIA’s own second quarter results, covering the period ended July 26, illustrate how deep that dependency runs. The company reported revenue of $96.2 billion, up 106% from a year earlier, with data center revenue of $89.0 billion, up 117%, meaning more than 92% of NVIDIA’s quarterly sales came from selling compute infrastructure. Those sales flow directly to the same hyperscale buyers whose spending underpins Snider’s estimate that AI infrastructure investment will drive roughly half of S&P 500 earnings growth this year, the estimate that sits at the heart of the bank’s 8,000 target. NVIDIA CEO Jensen Huang described compute capacity as having become a revenue generating asset in its own right rather than simply a cost of doing business, and the company guided third quarter revenue to $108 billion, implying continued sequential acceleration built on capital budgets that buyers have already locked in for the year.
Alongside the earnings picture, Goldman’s own read of investor positioning has shifted. Snider said on CNBC’s Squawk on the Street that the bank’s proprietary positioning indicator, which tracks hedge funds, mutual funds and other institutional investors, has fallen to its lowest reading since March 2026. He framed that as a stabilising factor rather than a warning sign, since lighter positioning means less crowded exposure would need to be unwound in the event of a market downturn. That reading sits alongside the seasonal weakness typically seen in September, a pattern the bank said tends to be amplified in midterm election years, and a Volatility Index that has climbed above 16.
Snider’s broader framework now treats quarterly capital expenditure guidance from Microsoft, Alphabet, Amazon and Meta as a leading indicator for index level earnings, a detail he says deserves close attention from investors holding broad S&P 500 exposure through index funds or retirement accounts. The next test of that framework arrives with third quarter results and fiscal 2027 spending plans from each of those companies. Until enterprise adoption of AI tools moves more visibly from management commentary into reported bottom line results, Snider’s own analysis suggests the durability of Goldman’s 8,000 target will continue to hinge on a narrow set of quarterly decisions rather than broad based economic momentum.
This article was written by Eamonn Sheridan at investinglive.com.
