
#MicronEarningsAhead
About MicronEarningsAhead
Micron reports FY2026 Q4 results after the US market closes on Sept 30. Its guidance calls for $50B in revenue, non-GAAP EPS of $31 and an 86% gross margin, while consensus sits slightly higher. After Q3 revenue of $41.46B, the midpoint of Q4 guidance implies 20.6% sequential growth. Investors will watch HBM4 demand, DRAM and NAND pricing, margin durability, and management's outlook for next quarter and FY2027. Can AI data-center demand keep memory supply tight and justify elevated expectations?
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Interpretasi laporan riset UBS: Pendapatan Micron FQ4 diperkirakan mencapai 52,4 miliar USD, pembatasan pembelian kembali akan dicabut pada bulan Desember
Ditulis oleh: Rita
UBS Group mempertahankan peringkat beli untuk Micron Technology dengan target harga 1625 USD, naik 48% dari harga penutupan 1096 USD pada 22 September. Perdebatan pasar telah bergeser dari "apakah siklus telah mencapai puncak" menjadi "berapa lama kondisi pasar yang baik akan bertahan". Dalam laporan prospektif FQ4:26 yang diterbitkan UBS pada 23 September 2026, disebutkan bahwa kesenjangan penawaran dan permintaan DRAM terus melebar hingga 2027, dengan permintaan bit DDR serv

$MU at ~6x earnings tells you market is still pricing 2026 like peak AI memory and treating Micron like the old cycle despite SCAs and customers asking for more supply than Micron can deliver.
That gets harder to justify with HBM shipping across $NVDA, $AMD and custom accelerators while meaningful new capacity doesn't arrive until 2028.
That gives Micron a much longer earnings runway than the multiple implies which is why I think anything below 10x earnings still looks too cheap.
🔥 AI CHIP SHORTAGE… OR MEMORY SHORTAGE?
Micron’s latest earnings could reveal a hidden bottleneck in the AI boom. HBM, the high-bandwidth memory powering advanced AI GPUs, consumes far more wafer capacity than traditional DRAM. Industry data cited by S&P Global puts the capacity ratio of HBM3E to conventional DDR at roughly 3:1.
As AI demand surges, more production is shifting toward HBM—potentially squeezing regular memory supply.
🤖 AI needs GPUs.
🧠 GPUs need HBM.
🏭 HBM needs capacity.
.
Micron earnings are coming, and I’m watching memory prices more than the headline EPS.
AI has created huge demand for high bandwidth memory, but expectations around memory stocks have also risen a lot. At this stage, simply saying “AI demand remains strong” probably isn’t enough for me.
I want to see whether HBM demand is translating into stronger pricing, better margins and more visibility into future orders.
Personally, I think Micron is an interesting way to check the health of the broader AI infrastructure cycle. Nvidia tells us how strong demand is for compute. Micron can tell us whether that demand is continuing to spread into the memory needed to power those systems.
The risk I’m watching is supply. Memory has always been cyclical, and strong pricing can eventually encourage more capacity. If supply catches up too quickly, the story can change.
#MicronEarningsAhead $BTC
#MicronEarningsAhead Just read about Micron’s upcoming earnings and this one caught my attention 👀 AI demand has been such a huge driver for memory lately, especially HBM, but I’m curious to see if that momentum can actually keep translating into stronger revenue and profits. The numbers matter, but I’ll be watching the outlook on demand, pricing, and supply even more. AI spending still looks strong, so this feels like a pretty interesting checkpoint for the whole memory market 🧠💾✨ Let’s see what Micron has to say!
#CostcoBeatsMicronNext Costco just gave us a consumer signal. Micron is about to give us an AI signal 👀
Costco Q4 revenue hit $95.7B, up 11.1%, while profit rose 14.9%, showing consumers are still spending.
Now Micron takes the spotlight.
What caught my attention is the contrast. Costco tests household resilience. Micron tests whether AI demand is still feeding DRAM, NAND and HBM growth.
If both stay strong, this market may have more than one engine keeping growth alive.
$SNDK , $SKHYNIX & $MU — the three storage plays 📦
🔹 $SKHYNIX sells a moat — dominant HBM share, but the valuation isn’t cheap anymore.
🔹 $MU sells value — broad exposure, single-digit P/E, with the next earnings report key for confirmation.
🔹 $SNDK sells the story — long-term contracts + HBF create strong upside potential, but also bigger pullback risk.
Same storage price cycle, but very different ways of making money.
#FedHikesBTCResilience #CostcoBeatsMicronNext
COST is back in focus.
Q4 earnings are the key event to watch, with investors looking for clues from sales, margins, and the broader consumer picture.
The interesting part will be the market reaction after the numbers drop — sometimes the headline result matters less than what the guidance says next.
#CostcoQ4EarningsWatch

$SNDK, $SKHYNIX & $MU — three different storage stories 📦
🔹 $SKHYNIX = Moat — strong HBM dominance, but valuation has risen.
🔹 $MU = Value — diversified exposure and a low P/E, with earnings as the next test.
🔹 $SNDK = Growth Story — long-term contracts + HBF offer strong potential, but volatility can be much higher.
Same storage boom, different business models, different returns. 📊
#FedHikesBTCResilience #CostcoBeatsMicronNext #USTreasuryYieldsRise

Costco is about to release its earnings report, so why is the crypto community so focused on how many rotisserie chickens it sold?
First, it doesn't stockpile Bitcoin, and second, it doesn't accept Bitcoin payments.
But it knows whether Americans' wallets are still full.
Good earnings → Americans are still buying lots of toilet paper and rotisserie chickens → strong consumption → inflation remains high →#BTC87KCryptoCap3T #CryptoTreasuriesBuy #CostcoQ4EarningsWatch

#CostcoQ4EarningsWatch Two earnings reports, two very different health checks 👀
Costco already posted Q4 sales of $93.9B, up 11.3%. Now I'm watching margins, membership and renewals to see how resilient consumers really are.
Then Micron takes the spotlight with $50B revenue guidance and ~86% gross margin.
One tests household spending. The other tests AI memory demand.
Together, they could tell us whether both sides of the economy are still spending, just for very different reasons.
