After Surging 918%, Is Micron Stock Still a Buy? Here's What History Says.

Micron reported Q2 2026 revenue of $23.9 billion, up 195% year over year and 76% sequentially, with cloud and data center gross margins both at 74%. Management guided Q3 revenue to $33.5 billion and EPS to $18.90, with gross margin expected to rise to 81%. The stock has still gained 918% over 12 months despite a recent 12% pullback, and its forward P/E is just 10, underscoring the article’s argument that it remains undervalued.

Analysis

Micron is no longer a cyclical memory name; it is becoming a toll collector on AI infrastructure. The important second-order effect is not just higher HBM pricing, but the tightening of supply for every downstream AI system that depends on memory bandwidth, which should keep vendor economics favorable even if compute pricing starts to normalize. That makes MU a cleaner way to express AI capex than the more crowded GPU trade, because memory remains the bottleneck while software and model performance are still expanding demand.

The market is likely underappreciating how much of the earnings step-up is self-reinforcing. Once customers design around a constrained supplier and qualify memory stacks into next-generation accelerators, switching costs rise and pricing discipline improves; that can keep margins elevated longer than the street models. NVDA’s explicit supplier validation also matters because it reduces execution uncertainty and signals that Micron is embedded in the next wave of platform launches rather than benefiting from a one-off inventory cycle.

The contrarian risk is that the equity has already discounted a very optimistic demand curve, so the next negative catalyst is usually not a demand collapse but a sequencing issue: any slip in qualification, capex digestion, or a modest guidance reset could compress the multiple quickly. AVGO’s softer reaction is the tell that investors are starting to distinguish between “AI beneficiaries” and “AI that must keep beating raised expectations”; MU can still work, but the entry point now matters more than the thesis. Over the next 1-3 months, the stock is likely to trade on margin and FY27 visibility rather than headline revenue growth.

Base case: the setup stays constructive for 6-12 months if HBM supply remains tight and data center buildouts continue, but near-term upside may come in bursts rather than a straight line. The cleaner trade is to own MU as a cash-flow compounding story while fading names where AI optimism has outrun near-term monetization clarity. If the market starts rotating from scarcity winners to broader AI beneficiaries, MU’s relative performance could lag even if fundamentals remain excellent.

Key Decisions for Investors

• Initiate or add to MU on 5-10% post-event/sector pullbacks; use a 6-12 month horizon and target a re-rating toward high-teens forward earnings if margins hold, with downside risk concentrated if FY27 visibility weakens.
• Pair long MU / short AVGO for 1-3 months as a relative-value expression of 'scarcity memory' versus 'broader AI infrastructure'; thesis works if memory tightness keeps MU’s revisions higher while AVGO remains more exposed to investor skepticism on forward growth.
• Buy MU call spreads 3-6 months out on weakness rather than chasing spot; this offers participation in continued multiple expansion while limiting damage if the name trades sideways after the recent run.
• For existing NVDA longs, use MU strength as confirmation rather than add-on signal; if HBM supply news turns less favorable, trim 15-25% of the pair exposure because the bottleneck thesis would be weakening.
• Avoid shorting MU outright; the better bearish expression is a hedged short against a basket of lower-quality AI hardware names, since MU’s fundamental backdrop is still too strong for an unhedged value short.