We're raising our Micron price target after an incredible quarter and robust guidance
- ID
- 30612
- Status
- summarized
- Published
- 01 Oct 2026, 8:07 AM
- Fetched
- 01 Oct 2026, 8:40 AM
- Provider
- CNBC Technology
- Category
- technology
- Original URL
- https://www.cnbc.com/2026/09/30/were-raising-our-micron-price-target-after-an-incredible-quarter-and-robust-outlook.html
- Source URL
- https://www.cnbc.com/id/19854910/device/rss/rss.html
Summary
- Score
- 3.5
- Created
- 01 Oct 2026, 8:40 AM
- Tags
- Audience
- developersai_ml_learnersstartup_founders
What happened
CNBC's investing club raised its Micron price target after Micron's fiscal 2026 fourth quarter (ended Sept. 3) beat consensus: revenue up 379% year-over-year to $54.23 billion versus the $51.07 billion LSEG consensus, and adjusted EPS up 1,002% to $33.42 versus $31.61 expected. Management said fiscal 2027 should be another strong year because demand for its memory products continues to exceed supply. The stock rose roughly 11% in September and is up about 275% for the year, but sits 12% below its June 25 record close of $1,213, and shares finished roughly flat after hours.
Why it matters
This is a price-target note from an investing club, not a product or technical change, so there is nothing for a builder to adopt or migrate. The one detail with downstream impact: the article states memory demand exceeds supply and that fiscal 2027 will be strong, with HBM (high-bandwidth memory) described as the key enabling technology for modern AI — a forward signal that memory-driven AI compute and GPU rental costs likely keep climbing rather than fall. If you are sizing AI budgets or signing cloud commitments, that argues for pricing in higher memory costs instead of extrapolating last year's rates. The text makes no Malaysia or Southeast Asia claim, so no local impact can be asserted from it.
Discussion angle
If HBM and DRAM really stay short-supplied into fiscal 2027, which line item in your AI stack feels it first — training runs, inference serving, or the GPU rental rate itself? Useful to compare who has locked in compute pricing versus who is buying on-demand.