Micron Crushed Earnings—So Why Is the Stock Barely Up? Is the AI Party Finally Priced In?

Written byGavin Maguire
Wednesday, Sep 24, 2025 7:59 am ET3min read
Aime RobotAime Summary

- Micron reported record Q2 results, surpassing earnings and revenue forecasts with strong AI-driven demand.

- Despite the blowout performance and upbeat guidance, shares rose only 1.5% pre-market, signaling potential saturation in the AI trade.

- Analysts raised price targets citing robust HBM demand and expanding margins, but muted investor enthusiasm suggests valuations may be overextended.

- Micron's muted stock reaction highlights a broader cooling-off phase for AI-linked semiconductors as investors digest gains ahead of Q3 earnings.

Micron Technology delivered one of its

on record Tuesday, but the market’s reaction—or lack thereof—could be the real headline. The memory-chip maker reported adjusted earnings of $3.03 per share, easily topping Wall Street’s $2.86 consensus, with revenue reaching $11.3 billion, up 46% year-over-year and a new quarterly record. Guidance for the first quarter of fiscal 2026 was equally strong: $12.5 billion in revenue and EPS of $3.75, both well ahead of expectations. Yet despite this “blowout” print and an upbeat outlook, shares were up just about 1.5% in pre-market trading, a muted response given the context of the stock’s 30% rally into the results. That divergence between fundamentals and price action is raising questions about whether the AI trade has reached a point of saturation.

The reaction to Micron stands in stark contrast to what the market saw with Broadcom and Oracle in recent weeks. Both companies reported AI-driven beats and raised guidance, and their stocks surged as investors rushed to chase exposure. With Micron, the narrative was similarly compelling: data center memory accounted for 40% of sales, double last year’s contribution, while

emphasized that AI will drive trillions of dollars in infrastructure investment, much of it dependent on memory. Yet instead of another euphoric rally, investors appear reluctant to push the stock higher, suggesting the AI enthusiasm is already priced in. This aligns with Federal Reserve Chair Jerome Powell’s warning yesterday that equity valuations look “high by historical standards.”

Analysts have scrambled to keep pace with Micron’s stock surge in September, with at least 10 raising their price targets in the last week alone. Wolfe Research boosted its target to $200 from $180, calling $20 in EPS power by FY27 “probable” rather than just possible, based on revenue scaling toward $60 billion and gross margins reaching the mid-50s. Stifel raised its target to $195, citing the structural shift in revenue toward data center demand and the strength of hyperscale memory margins.

went to $200, highlighting Micron’s sold-out HBM supply for 2026 and tight DRAM conditions. took the most bullish view with a $215 target, noting HBM revenue growth and pricing agreements that provide visibility into 2026. Across the Street, the consensus is clear: fundamentals are strengthening, margins are expanding, and the company’s competitive position in HBM is only getting stronger.

Still, the more interesting signal for investors may be the divergence between analyst enthusiasm and price action. Micron is up 78% over the past year, outperforming the broader semiconductor index and the S&P 500, but the parabolic gains seen in SK Hynix (up 123%) illustrate the level of expectations already embedded in the group. The market reaction to Micron’s quarter—muted despite record results—suggests that a phase of digestion could be underway for AI-linked semis. Investors who had chased the rally ahead of earnings may be taking profits, while others are cautious about entering at current valuations. This dynamic could foreshadow a broader cooling-off period in the AI trade heading into Q3 earnings season.

For context, Micron’s fundamentals are indeed in rare territory. Gross margins expanded to 45.7% in the quarter, up nearly seven percentage points sequentially, with operating margins at 35%. Free cash flow turned positive, and the outlook for fiscal 2026 points to even stronger profitability as mix, pricing, and tight supply conditions favor the company. Management emphasized that HBM demand remains robust, with most of its 2026 supply already spoken for, while its 1-gamma DRAM node and G9 NAND are progressing ahead of schedule. In normal times, this combination of cyclical strength and secular AI-driven demand would be enough to spark a runaway rally. But in markets primed by months of AI euphoria, “better than great” may no longer be enough.

This shift carries broader implications. If Micron, one of the clearest beneficiaries of AI infrastructure spending, can’t ignite a bigger move after crushing expectations, it may indicate that the marginal buyer in AI semis is exhausted for now. Investors are increasingly focused on whether the trade has gotten ahead of itself, especially as broader equity indices hover near record highs. Powell’s comments on valuations add another reason for caution, reinforcing the risk that even strong reports may be met with profit-taking.

Looking forward, Micron will remain a bellwether for the memory cycle and the AI trade more broadly. Analysts’ targets imply significant upside, and the fundamentals remain compelling. But the price action tells a different story: that the market may need to consolidate recent gains before making its next leg higher. This doesn’t necessarily undermine the long-term AI thesis—if anything, the structural drivers look stronger than ever—but it does suggest that in the short term, investors should temper expectations of repeat rallies like those seen in Broadcom and Oracle.

The bottom line is that Micron delivered a near-flawless report, yet the stock barely budged. That muted reaction could foreshadow a phase of consolidation for AI-linked equities as the market digests high valuations and braces for Q3 earnings season. Investors would be wise to track Micron closely in coming sessions, as its trading pattern could serve as an early tell for whether the AI trade is set for a breather—or whether enthusiasm can reignite once again.

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