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Micron Technology (MU) is scheduled to report earnings after the close on Wednesday, June 24, 2026, and consensus expects a very strong AI‑driven number.

Will it be strong enough to stem the tech selling and stoke a buy on the dip rally?

The Zacks consensus is for earnings of $19–$21 a share for the quarter and revenue near $34–$35 billion.

That works out to earnings growth of 900%–1,000% year‑over‑year.

Micron itself has signaled non‑GAAP EPS of $19–$19.5 and revenue $33.5–3$5.5 billion, with high gross margins reflecting AI‑memory tightness.

Those numbers are certainly impressive–but do remember that we’re talking about the boom to bust to boom memory chip industry here.

But what investors want to hear–and what it will take to generate a buy on the dip rally, in my opinion–is assurance from the company that the demand for AI chips will continue to grow strongly.

Micron’s current EPS run‑rate looks cyclically elevated and is unlikely to be sustainable, but the Wall Street consensus expects structurally higher earnings than in the pre‑AI era, with big sensitivity to memory pricing, capacity discipline, and AI/server capex cycles.

What the consensus earnings projection looks like is classic memory cyclicality on steroids: when ASPs and utilization both spike, EPS growth overshoots “mid‑cycle” earnings power.

What to watch for:

Memory is still a commodity business: DRAM and NAND pricing respond to supply/demand; if hyperscaler capital spending pauses, or if memory chip competitors add capacity too aggressively, ASPs (average selling price) can correct sharply. That would compress Micron’s margins even if unit volumes stay high.

AI server growth is lumpy: Today’s demand is dominated by an AI build‑out phase (GPU clusters, HBM, high‑capacity DDR5). If that growth slows, shifts to more efficient architectures, or hits a digestion period, the “AI uplift” to memory pricing could flatten or retrace.

Maintaining and adding leading‑edge DRAM/HBM and NAND capacity requires heavy capital spending; over a few years, depreciation and copex catch up with pricing, pulling margins back toward more normal levels as competitors’ cost curves also improve.

The consensus believes and the share price assumes that AI and data‑center workloads keep bit demand growth structurally strong, especially for HBM and high‑capacity DRAM. That would raise the volume floor and support better average fab utilization.

Watch for any indication that this might not be true.