Micron Stock Has Fallen Over 20% From Its Peak. Hereβs Where it May Go in 2026 - TIKR.com
π Micron stock has fallen over 20% from its post-earnings highs following Google Research's release of the TurboQuant compression algorithm.
π° Fiscal Q2 2026 revenue reached $23.86 billion, nearly tripling year-over-year and beating the consensus estimate of $20.07 billion.
π§ TurboQuant reduces the key-value cache memory footprint for large language models by at least six times without loss in accuracy.
π CFO Mark Murphy confirmed that supply constraints will persist beyond 2026, with new capacity not arriving until fiscal 2028.
πΈ Micron has committed over $25 billion in capital expenditure for FY2026 to expand production at its Singapore, Idaho, and Taiwan facilities.
π The stock currently trades at a 3.95x NTM P/E ratio, significantly lower than the broader semiconductor sector average of 32.58x.
π TIKR's mid-case model projects a target price of $302.40 by August 2030, implying a negative total return from current levels.
π The market will watch fiscal Q3 2026 data center NAND revenue around June 24, 2026, to validate or invalidate the supply-demand thesis.
π€ Google's CY2026 capital expenditure is projected at $180 billion, up roughly 100% year-over-year, suggesting hardware needs are not shrinking.
π Morgan Stanley argues TurboQuant could expand AI deployment and increase total memory consumption over time despite efficiency gains.
- Micron reported a historic quarter with revenue of $23.86 billion, nearly tripling year-over-year and crushing Wall Street estimates.
- Management explicitly stated that demand far exceeds supply and confirmed structural supply constraints will persist beyond 2026.
- The company is the first to have a Gen6 SSD in the market with data center NAND described as significantly undersupplied.
- HBM4 is tracking a faster yield ramp than the previous HBM3E generation, indicating strong manufacturing progress.
- Micron trades at a compressed 3.95x NTM P/E ratio, offering a potentially attractive entry point for long-term investors.
- Major analysts like Morgan Stanley suggest that software efficiency gains could ultimately expand total AI memory consumption.
- Google Research's TurboQuant algorithm reduces KV cache memory footprint by six times, posing a direct threat to the demand math for AI memory.
- The stock has already fallen more than 20% from its peak, reflecting immediate investor skepticism regarding the hardware thesis.
- New capacity from the Singapore fab, Idaho facility, and Tongluo P5 site will not contribute meaningful supply until fiscal 2028.
- If demand softens before fiscal 2028, Micron's $25 billion capex commitment faces a different pricing environment than sized for.
- TIKR's mid-case model projects a negative total return of -15.3% through 2030 under current assumptions.
- The market exhibits persistent reluctance to pay a premium for memory cyclicality, keeping valuation multiples low.