Wedbush and Rosenblatt Boost Price Targets on Micron Technology (MU) Amid Rising AI Memory Demand
π Wedbush raised its price target for Micron Technology (MU) to $1,300 from $500 while retaining an Outperform rating.
π Rosenblatt increased its price objective for MU to $1,200 and maintained a Buy rating on the stock.
π° Analysts expect rising revenue and earnings per share projections for the third quarter and subsequent periods.
π Wedbush forecasts strong AI demand persisting until 2027 or 2028 with low risk of oversupply over the next 18 months.
π Rosenblatt cites new wafer supply arriving in 12 months as a key factor driving higher predictions.
πΉ Potential HBM price hikes are expected to close the gross margin gap with DDR5 and enhance corporate margins.
π Micron serves client, cloud server, enterprise, graphics, networking, smartphone, mobile-device, automotive, industrial, and consumer markets.
π Wedbush anticipates new long-term agreements will allow for a longer peak earnings period than in previous cycles.
π Analysts believe some AI stocks hold greater promise for delivering higher returns within a shorter time frame.
- Wedbush and Rosenblatt have both issued significant price target increases, signaling strong institutional confidence in Micron's near-to-mid-term prospects.
- Analysts expect demand for DRAM and NAND Flash to persist through 2027 or 2028, reducing the risk of a supply glut in the immediate future.
- Rosenblatt highlights new wafer supply coming online in 12 months as a catalyst for sustained growth and higher average selling prices.
- Potential price hikes in High Bandwidth Memory (HBM) are expected to improve gross margins by narrowing the gap with DDR5 pricing.
- Wedbush projects that new long-term agreements will extend the peak earnings period, providing more stability than previous industry cycles.
- Analysts note that while Micron is a strong AI play, they believe other AI stocks may offer higher returns over a shorter time frame.
- The article includes promotional content suggesting investors should look for cheaper AI stocks with purportedly massive upside potential, which could imply relative underperformance concerns.