NASDAQ

Micron Technology INC

MU

66 stories

$969B Market cap · 2026-10-22

@convequity

Convequity on X

We see $NVDA seeking more power over its HBM suppliers by making Samsung, SK hynix and Micron ($MU) conform to the same base die design for NVHBM, its custom memory. Seoul Economic Daily reports Nvidia asked all three to make the NVHBM base die at TSMC ($TSM), citing consistent performance across suppliers and less validation work per supplier. Samsung reportedly agreed. The base die is the logic beneath the DRAM stack that connects it to the processor, and it is where each memory maker could differentiate with its own logic design. On NVHBM the base die follows Nvidia's standard and carries Nvidia's own memory controller. Our view: this makes the three suppliers' NVHBM stacks much closer to interchangeable. Nvidia can validate each supplier's memory more easily, shift orders between them and push harder on price. The trade-off is more reliance on TSMC. The memory makers are left competing on DRAM core dies, stacking, yield and capacity, which weakens their pricing power with Nvidia on NVHBM. What would change our view: SK hynix or Micron keeping their own logic in the NVHBM base die, or NVHBM staying a small share of Nvidia's memory purchases.
@aleabitoreddit 3 clicks

Serenity on X

Just some words of emotional support for your SK Hynix, $SNDK, $MU fanclub. $DELL CEO on memory, suggested: "It's a 4 year problem because there's just not enough supply" Factories take about 4 years to build, meaning new production would emerge 2029 or 2030. and that semiconductor shortages could worsen in 2027 stating: "I do think it gets worse next year in terms of demand and supply". I think it's strange we're getting unprecedented forward visibility with memory... as $GOOGL and richest hyperscalers seek LTAs into 2035. And a major sector crash as well over durability/financing concerns.
@ParadisLabs 1 click

Paradis on X

Memory fundamentals are still very strong (stronger than Q1). $MU CEO: - "We expect memory and storage supply demand conditions to be much tighter in fiscal 2027 and 2028 than they were in 2026." - "We do not have line of sight to when supply and demand will return to balance." Back in July, $NVDA supply commitments rocketed from $119B -> $279B which was "primarily related to the procurement of memory", with ~$175B of commitments for 2028-29... $MU also said that >75% of FY27 output is already committed + "a majority of discussions with our customers today are already around 2028." So as a reminder....ultra long-term demand visibility in the context of the memory market. Samsung’s Q3 prelim last week was 107.4T Won O.P. on 195T Won revenue: - So that's ~55% margins company-wide. - Micron did 87% GM in their most recent quarter - $SNDK 84.6% GM. All accelerating/stabilizing margins as of their most recent fiscal Q's. Mass production from new capacity (from Micron, Samsung and SKHY) is also not expected to come online for quite some time. In other words, the shortage will intensify next year at least. Then long-term contracts solidify long-term earnings further via price floors + committed volumes: - $MU with 26 SCAs worth >35% of revenue through to 2030 with some now running into 2031. - $MU CFO: "even at floor prices, we expect margins meaningfully above any prior cycle peak margins." - $SKHY has ~10 LTAs of ~5 yrs w/ pricing structures "designed to respond to price fluctuations." - Sammy (as of recent reporting) holds ~70% of memory capacity under LTAs until 2031 with $MSFT, $NVDA and $GOOGL, with ~25% of contract value prepaid. - $SNDK also has their "New Business Model" agreements with 8 customers that lock in ~66% of fy28. Then on buybacks, $MU will step up returns from December - "over time, we expect to return 100% of our excess cash." Just crazy how much cash these companies are bathing in rn. Obviously there are risks, mainly with positioning and sentiment towards the AI trade currently - thanks to macro/ARR fears/pacing talks/other stuff I'm probably forgetting rn. China is ofc another risk with CXMT but I don't see how they'll be a massive problem for HBM / US hyperscaler RDIMM where they'll continue to face US restrictions + massive qualification walls imo. But ultimately, memory fundamentals are in-tact and very strong. Stronger than Q1.
@aleabitoreddit 2 clicks

Serenity on X

Sure... Random train of thoughts on markets now, optics like $LITE / memory + $IREN / Anthropic. On Memory: - Demand visibility on $MU / Samsung / SK Hynix extend into 2030-2031. Samsung has LTAs covering 70% of their capacity into 2031 (likely with SK Hynix type price floors)... and their operating profit is already absurd. There's a consensus that shortage in 2027 will be much more severe than 2026... Even $SNDK expends gross margins to exceed 80% entering 2030. You're going to hear Acer and other CEOs that want memory prices to go down cite bear cases like CXMT/YMTC, and Chinese players. But just looking at supply procurement that $NVDA is doing + hyperscalers, demand visibility is absurd for the next 5 years. And by that time, cumulative FCF coming in from these take/pay + pricing floor contracts might exceed some of their entire marketcaps so it feels like there's some baseline. Near-term is always volatile (IV dropped a ton across $EWY to $DRAM to $MU), so people with call options likely got nuked, along with underlying prices. But if Samsung is 3x 2027E, has 5 year LTAs with 70% of capacity committed from hyperscalers, and price floors, it's kinda hard to see these names suffer a sustained crash... For optics: - $LITE is literally sold out into 2029, starting discussions into 2030. With demand visibility lasting into 2031… with hyperscalers largely funding the capacity buildout. Their 2028 Greensboro fab expansion was ~$5B in UHP laser capacity revenue alone, yet it’s basically allocated toward $NVDA (50%+ with options for more) and co from channel checks. Existing supply chain bottlenecks are extremely severe as optical content/XPU skyrockets entering 2027-2028. So everything from DSPs/TIAs, photodiodes, lasers, InP/SOI substrates, wafers (epi, SOI, etc) are expected to go brrr. And what does that imply to anyone else with enormous amounts of capacity coming online like $AAOI + $SIVE + $MTSI capacity expansion in 2027? Or other players like Sumitomo / Furukawa? But again it's not quite the same situation as memory since the BOM % is extremely low in a cluster... If micron/samsung raised another 2000% hyperscalers would go bankrupt. But doing that for InP substrates seems possible. Or a 100% increase on CW laser content. I actually thought $LITE was overvalued at $100B+ MC, relative to capacity expansion on your smaller optical players to their respective MCs. So I chose to position accordingly (But lumentum does deserve premiums for demand visibility). For the companies leading the charge like $NVDA / $AVGO / $MRVL: - Nvidia has 70% forward revenue growth FY2028 which is supply constrained growth. - Broadcom 100% Y/Y for 2027/2028 which is also supply constrained growth. - Marvell FY2031 upgraded guidance to $70B-$90B from $46B analyst projections... They all seem to be very happy.... and read through on demand for next 2-3 years is enormous (also echoing what $INTC CEO said today on the panel with $AVGO CEO). So you have overwhelming growth on memory + photonics + from the leaders... But the nuance is not everything in the AI supply chain get the same economic benefit. HBM/Laser/CPU/MLCC and other players in the bottlenecks look to be printing money. And seem to be the largest beneficiaries of the current bottlenecks. Test players are also getting price hikes + capacity allocated by players like $NVDA, but economic impact seems a tad lower than other players since forward P/E for many I modeled were still in the 45x+ range even if you hiked prices like 10-30%. As for capex intensive players... there's some like $IREN ($25-30B for 2027) that despite a deal with Anthropic ended up dropping. I don't think markets seem to appreciate players spending a lot of money + ongoing financing (think they're like halfway through their $6B ATM). Just some hopium for $IREN investors, $NBIS also signed a deal with $META at the start of the year (but markets didn't care at all, since Nebius dropped to ~$70-80 at the lowest point?). But did 6 months later, as the time to revenue inflection gets closer and you're past the ATM/capex window, markets would likely care more. I don't think it's irrational but at the same time, the fundamentals have improved from Mirantis acquisition to others. I also think it was known for awhile it was either OpenAI/Anthropic from CEO comments earlier too? But either way to be a more risk-off environment where funds seem to be rotating to larger names as a flight to safety. $CRWD / $PLTR as just two example, but my take is that the valuations of these rotations are reaching clown levels. And that certain AI supply chain beneficiaries in comparison are undervalued now. I was thinking markets would just rotate to names that are extremely profitable like Samsung or names that have <2X P/E, so it was surprising to see $KOSPI and some legacy memory players get sold off today. Since all of this is colliding with uncertainty about sht macro environments and renewed sustainability concern of AI capex/commitments from frontier labs like OpenAI/Anthropic from due to that FT piece recently. I've always been sounding the alarm about the contractual backlog OpenAI has with $CBRS, $MSFT, $ORCL and others earlier in the year. But OpenAI did just raise $122B or so , so I don't quite think they're at risk of going down anytime soon. I also don't think overall capex can just exponentially go up, but even if it stalls / hovers around a certain point or even drops... Capex toward certain areas like optics will still explode as hyperscalers fight over allocations when CPO scale up comes about, but might drop in others where more capacity comes online like test or DRAM. So it's a lot more nuanced than capex down = everything down or vice versa. I also slightly agree with community agreements that open weight models wouldn't lessen demand on AI infrastructure (otherwise $NVDA wouldn't be funneling funds into Reflection), but all the contractual obligations that Anthropic has might get messy if their models/company get cannibalized. Either way, I'd expect some of these frontier lab valuations to likely compress but I do think Jensen knows what he's doing though to avoid contagion. But basically: - Extremely difficult market now, can't just throw money at any AI supply chain company like $GLW and expect it to go up. There's cause for concern of rate hikes mixed with financing per $AVGO CEO but not to the point you just blindly sell off everything. Also I think markets are stupid and ties baskets together so that leads to mispricing + individual buying opportunities with certain chokepoints too. If capacity + demand is visible and forward p/e compresses like $AAOI to single digits off hundreds or thousands of percent growth from hyperscalers off $471m transceiver revenues and hundreds of thousands of monthly ELSFP capacity. Or $SIVE coming online with 100M+ laser capacity + multiple foundries with ASP hikes on lasers. I wouldn't lump them into other AI supply chain names in IP like $RMBS or others. My take is that AI supply chain beneficiaries with closer inflection points, demand visibility, and forward P/E compressing due to economic leverage would likely outperform medium term despite current volatility. TLDR: - Memory strongest risk/adjusted return with LTAs + pricing floors extending to 2030's + buybacks. - My opinion is that optical supercycle for 2027-2028 with CPO/NPO is going to look absurd relative to capacity coming online of smaller suppliers. - Overwhelming fundamentals/growth colliding with sht macro + media scares - Markets are stupid and groups things in baskets and sells them all off together or buys overvalued names, creating short/long opportunities I'd give a prayer to people on short term options given underlying drop + IV decline, but there could be a reversal... who knows. Most valuable thing right now is time.
@ParadisLabs

Paradis on X

With the Singapore Grand Prix in a few hours, I can't help but draw comparisons to the financial markets and the AI trade. One slow pitstop or a miscalculated overtake can undo weeks of preparation and cost millions of dollars. So with AI and semiconductor earnings fast approaching, it feels like we need a quick pitstop to get the race back on track. Rates remain high. Oil prices are elevated. Fresh frontier lab ARR concerns. AI capex. Circular financing.....all create some dark clouds which have resulted in de-risked positioning and low sentiment. Similarly, consumer confidence is low. New research from Morgan Stanley finds that net sentiment from Americans towards AI is at +14% compared with -20% for data center construction, with water requirements and environmental concerns among the biggest objections. It therefore seems like AI policy will become an even bigger stumbling block in the years to come... But the positive is that business fundamentals have remained strong highlighted by recent sold-out comments from $MU and $LITE CEOs. Plus $TSM reporting 55% YoY revenue growth as the de-facto proxy for the wider AI trade. My beloved Chelsea won 5-1 yesterday. But conceding even just 1 goal won't be good enough for the AI trade. With sentiment at fresh lows, I feel like all the key infrastructure companies need to report without any hiccups.
@convequity

Convequity on X

High-bandwidth memory generally costs about 5x more per GB than conventional DRAM. As AI systems support longer context windows and more complex reasoning, memory demand is spreading into conventional DRAM and NAND. The mechanism is a tiered memory system. HBM holds active model weights and the context needed now. External DRAM holds a broader pool of context that the model can retrieve, while NAND-based SSDs store less frequently used context and model checkpoints. This keeps more context accessible at a lower cost, with a latency trade-off. Memory producers are operating at approximately 80% gross margins and 60%+ EBIT margins. The industry's through-cycle average gross margin has been 35-40%, and past peaks rarely exceeded 55-60%. Supply explains much of this. Samsung, SK Hynix and Micron invested heavily in capacity during the 2021-2022 boom. That capacity came online in 2023 and 2024, when smartphone, PC and non-AI server demand was weak. All three cut production, recorded operating losses and set conservative capex plans. Samsung cut DRAM output by approximately 15-20% in 2023. The capacity response as of mid-2026: 1. Samsung has targeted a roughly 50% increase in HBM production capacity this year. 2. SK Hynix has accelerated its HBM4 ramp through the M15X fab, while reportedly redirecting some planned HBM4 capacity toward DDR5. 3. $MU has accelerated DRAM and HBM output in Taiwan. Meaningful wafer starts from its new US and Singapore facilities are not expected until 2027 and beyond. These additions are weighted toward HBM and high-end server DRAM, not broad conventional memory capacity. They appear insufficient to close the gap in the near term, so the unusually high margins look likely to persist for several more quarters.

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