FINANCE

Wall Street Sees Plenty of Upside in Micron Despite the Recent Dip


  • Micron (MU) is trading at $357.22 against a $527.60 consensus price target, a 47% gap, while 38 of 43 analysts rate the stock Buy or Strong Buy. The company is guiding to $33.5B in Q3 FY2026 revenue and 67% gross margin, with HBM4 memory for Nvidia’s Vera Rubin platform in mass production and calendar 2026 HBM supply fully sold out. Lam Research (LRCX) fell 9.4% on the same day that triggered the sector selloff.

  • Google’s TurboQuant algorithm announcement spooked memory investors into a fear trade, but the selloff appears to overshoot the actual risk since efficiency gains from algorithms typically expand total AI adoption and memory demand rather than permanently shrink it.

  • A recent study identified one single habit that doubled Americans’ retirement savings and moved retirement from dream, to reality. Read more here.

Micron Technology (NASDAQ: MU) is trading at $357.22, while the Wall Street consensus price target sits at $527.60. That gap of roughly 47% demands a clear-eyed look at what created it and whether it represents real opportunity or a warning sign dressed up as a bargain.

Micron is the only U.S.-based manufacturer of DRAM and a primary U.S. manufacturer of NAND memory chips, making it a central player in the AI infrastructure buildout. CEO Sanjay Mehrotra has described the company as “one of the semiconductor industry’s biggest enablers of AI,” and the financial results have backed that claim. The stock is up 291.9% over the past year. Last week changed everything.

The catalyst for the recent drop was a fear trade. On March 24, Google announced its TurboQuant algorithm, which significantly reduces memory usage in AI workloads. The announcement triggered a sharp sell-off in memory stocks, with Lam Research (NASDAQ: LRCX) dropping 9.4% the same day. Micron fell 15.5% over the past week and 13.4% over the past month.

Read: Data Shows One Habit Doubles American’s Savings And Boosts Retirement

Most Americans drastically underestimate how much they need to retire and overestimate how prepared they are. But data shows that people with one habit have more than double the savings of those who don’t.

The concern: if AI models need less memory per workload, the demand supercycle driving Micron’s revenue growth could be smaller than expected. Investors began reevaluating memory pricing and AI-driven demand assumptions almost immediately. The selloff was sector-wide, not company-specific, which matters when assessing whether the punishment fits the crime.



Source link

Related Articles

Back to top button
floridadigitalnews
Verified by MonsterInsights