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KLA Is Splitting, and This Foundational AI Company -- Up 4,162% in 12 Months -- May Be Wall Street's Next Stock-Split Stock

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KLA Is Splitting, and This Foundational AI Company -- Up 4,162% in 12 Months -- May Be Wall Street's Next Stock-Split Stock

KLA became the first major tech company to announce a 10-for-1 stock split in 2026, with the split effective after the June 11 close as shares near $1,900. The article argues Sandisk may be the next split candidate, citing a 4,162% trailing-year gain, a share price of $1,562.34, and fiscal 2027 EPS estimates jumping from about $10 to $169.26 over eight months. The piece is largely promotional and speculative, but it highlights strong AI-driven demand and elevated investor interest in both semiconductor and memory stocks.

Analysis

Stock-split headlines are not the thesis; they are a signaling event that can accelerate already-strong momentum by broadening the buyer base and improving liquidity optics. The first-order beneficiaries are the most expensive, most institutionally owned AI-adjacent compounders, but the second-order effect is more interesting: if one or two semi leaders split successfully, it lowers the psychological barrier for other high-flyers to do the same, which can create a self-reinforcing flow loop in the group over the next 1-3 months. For KLAC, the split is mostly an accessibility catalyst layered on top of fundamentals that still matter more than sentiment. The risk is that the event becomes a "sell the news" moment if semicap capex expectations flatten or if AI spending shifts from inspection/introspection tooling toward compute and networking. A split does not change valuation, but it can extend multiple durability by keeping retail and momentum capital engaged longer than fundamentals alone would justify. SNDK is the more reflexive setup because the market is already pricing a scarcity narrative in memory. The consensus may be underappreciating how quickly supply responses can emerge in NAND if margins stay elevated for a few quarters; that makes the next 6-12 months more about earnings revision velocity than terminal power. The stock is also vulnerable to any sign of procurement normalization from hyperscalers, which would hit the name harder than the broader AI complex because its current move is being driven by expectations of quasi-monopoly pricing rather than steady-state demand. The contrarian read is that the market may be overconfident in the permanence of the current AI storage bottleneck. If the supply chain catches up or if customers re-optimize architecture toward lower-cost storage tiers, SNDK's forward estimates can compress just as fast as they expanded. That argues for participating in upside, but with defined-risk structures rather than outright chasing after a 4x+ move.