DigestAI news desk

Cut through the AI noise.

Hardware & Compute3 min read

Micron’s AI memory stock may jump 89% in 2027, analysts say

Micron Technology’s AI-related memory chips have surged 256.3% in fiscal 2026, with revenue hitting $133.19 billion and a non-GAAP gross margin of 87.0%. The stock rose 196.65% year-to-date after a 240% gain in 2025 but has since dropped 21.28% to $846, below its 52-week high of $1,254.61. Analysts project fiscal 2027 revenue of $275.5 billion and earnings per share (EPS) of $176.5017, up 134%…

2 sources

Key points

  • Micron’s fiscal 2026 revenue hit $133.19 billion, up 256.3%, with a 87% non-GAAP gross margin
  • Analysts target Micron stock at $1,561.91, an 85% upside from current $846 price
  • Over 75% of fiscal 2027 shipments are committed, with HBM4E co-designed with NVIDIA for 2027

Micron’s momentum stems from strong demand, with over 75% of fiscal 2027 shipments already committed. The company has co-designed high-bandwidth memory (HBM4E) with NVIDIA for 2027 production and raised HBM pricing. Analysts have raised estimates for 28 quarters in a row, and Micron has beaten EPS forecasts for nine consecutive quarters. However, the stock’s volatility—including a 46% drop in 2022—remains a risk. If AI-driven demand persists and Micron continues outperforming, a gain to $1,600 (89% upside) is possible, though analysts currently project 85%.

The story so far

4 episodes →
  1. Micron’s AI memory stock may jump 89% in 2027, analysts saythis story
Full story from 247wallst.com · by Vandita Jadeja · via Search: NVIDIAOpen source ↗

Nvidia Isn’t the Only AI Stock That Could Surprise Wall Street in 2027

247wallst.com · 6 November 2026

Loading the full article…

This text was published by 247wallst.com and written by Vandita Jadeja. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Coverage and discussion

2sources
Topics · follow one to build your own front page
Micron TechnologyNVIDIASanjay MehrotraManish Bhatia

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

Comments

via GitHub Discussions

More in Hardware & Compute

All →

Related stories