5 Chip Stocks Look Cheaper Than the S&P 500 — Why Timing Matters

Five chip stocks screened as cheaper than the S&P 500 on forward earnings while growing faster, including Micron and Nvidia, according to MarketWatch reporting published Oct. 6. The screen measures both price against expected profits and growth against the index, but only inside the chip group.

As background, Micron traded at 11 times forward earnings estimates in January and Nvidia traded at 24 times, according to Yahoo Finance. Forward earnings are analysts' forecasts for the next 12 months, so the ratio is price divided by that forecast. Those January levels come from an earlier point than the October index numbers.

S&P 500 earnings were on track to rise more than 35% in 2026, and analysts expected U.S. profit growth to slow after that 2026 boom, according to Reuters reporting Oct. 1.

AI chipmakers drove most share gains through early October 2026, according to Reuters reporting Oct. 5.

The broader context here is the denominator effect from a 35%-plus earnings year. When total earnings rise that fast, the market forward multiple falls automatically and cheaper gets reset. A stock can look cheap against the index even after its own earnings forecast has risen sharply. Faster growth then means beating an unusually strong base year.

In my view, estimate timing matters more than the headline suggests. January multiples and October earnings paths reflect different stages of the forecast cycle. Forward earnings move through the year with revisions, currency shifts, tax accruals, and margin assumptions. If growth slows, a multiple based on peak earnings can rise fast when later estimates are cut.

When it comes to positioning, concentration complicates the signal. With AI chipmakers leading into early October, the comparison is among recent winners, not laggards. A low multiple can reflect more doubt about earnings, not mispricing. A high multiple can reflect more confidence that estimates will hold. The breadth of revisions and how much analysts disagree both matter.

The broader question for earnings models is how a slowdown reprices growth after a boom. Fast 2026 growth makes year-on-year comparisons tougher, and forward multiples react more to small forecast changes. The task is to separate the rate from the level. Growth can slow while total profits stay high. That puts focus on whether estimates last, which way revisions go, and what horizon the forward ratio covers.