u/Glass-Record2446

This is becoming a pattern. Call after call in this community is hitting all-time highs or printing serious alpha against the market. $TSEM. $MU. $SITM. The list keeps growing. No subscription fee. No paywall. No “premium tier.” Just thesis-driven research, shared openly, because that’s what this is about. While others charge hundreds or thousands a year for worse picks, you’re getting it here for free. That’s the deal. That’s always been the deal.

On March 13th, with $TSEM sitting at $124.70, I shared with my community on how I opened a position on Tower Semiconductor. Silicon photonics bottleneck play. Fast forward to today $TSEM is trading at $273.97, more than 2x.

And why is TSEM ripping?

They had their earninngs call and the earnings were exceptional.

🐊Q1 2026 revenue came in at $414M ( beating the estimate that was $410m), up 15% YoY.

🐊EPS beat at $0.65 vs. $0.57 consensus a 14% upside surprise.

But the real story is the margin explosion:

🐊gross profit up 52%,

🐊operating profit nearly doubled YoY to $65M

And then more than margin its management’s

🐊Management guided Q2 to a record $455M, 22% annual growth, 10% sequential.

🐊Tower has $1.3 billion in contracted Silicon Photonics revenue locked in for 2027,

🐊 $290M in customer prepayments already on the balance sheet, and

🐊 restructuring its Japan operations to take full ownership of Fab 7 for 300mm scale.

Why the rerating?

Look when a company beats EPS by 14% and then guides to an all-time record revenue quarter, it forces analysts to tear up their old models and re-rate the stock.

This "rip" isn't just momentum; it's the realization that Tower is no longer just a "value" play it’s a compounding growth machine that just entered its most profitable era.

Disclaimer: This is not financial advice. I am not a licensed financial advisor. All content is for informational and entertainment purposes only. Do your own research before making any investment decisions. I am not bound to inform when I sell.

Some of my holdings hit new ALL TIME HIGHS at some point today

$GLW - Corning - wrote in detail few months back

$MU - have been posting a lot about it

$NVDA - long term holding

$AAPL - have been holding for years

$SANM - powerhouse in Integrated Manufacturing Solutions

$SITM - Mems beauty, I wrote and commented a few times

$KLIC - “pick and shovel" play

$GOOGL - have been holding for yrs, my largest position now based on Mkt Value, kept defending on my socials my position, when there was a lot of doubts and panic due to OpenAI.

Even famous names like Chamath, kept talking against it in 2024 ( though end 2025 he took U Turn). Some think it was because he had a position in Perplexity, now I ain’t saying it’s true, but if it is, this is a lesson for all of us retail investors, who are putting our live savings at stake, that beware of famous investors who have vested interests, or those who have shorted positions, and some large influencers are even paid to talk about stock.

Always and always scrutinize the motives of "big money" voices. Between vested interests, short positions, and paid influence, a retail investor's best defense is their own fundamental research.

Independent writers like me who are passionate about community building, might make a wrong call (that can happen with anyone), but won’t be doing paid advertisements or short a stock (can’t speak on other’s behalf but can guarantee about myself).

But key learning over the course of years, it’s your money so do your own research, people at times have an angle or a hidden motive.

 I wrote in detail on $AAOI and it’s supply chain in detail couple of months ago, lots have happened in the meantime, the stock went from almost $90s at that time to its ATH of $190s a few days back but is down today to 160s at time of this writing after earnings. 

It went down to 140s immediately after earnings, but is going up again.

Citron called this stock’s valuation “delusional” and is betting on a return to $85, calling the valuation "delusional" compared to NVDA. Their focus is on the leverage of customers like Oracle. It’s a fair warning on concentration risk, but it ignores the strategic value of domestic laser fabs in a world obsessed with supply chain sovereignty.

Is this really delusional or is it disruptive?

What happened in earnings call?

Without regurgitating too many numbers, lets analyse the main facts

🐊 AAOI just printed record revenue of $151.1M (+51% YoY) with Datacenter up 154% YoY to $81.4m ( vs $155m estimated)

🐊Non-GAAP gross margin compressing to 29.2% from 31.4% in 25 Q4

🐊 WHY DID GROSS MARGINS FALL? 

 Non-GAAP GM compressed to 29.2% from 31.4% last quarter.

This is a product mix story the 800G ramp literally just started in Q1 with first volume shipments.

The current revenue base is still dominated by legacy 400G at lower margins. Add in the cost of scaling a domestic laser fab in Texas and you’ve got margin headwinds baked in for at least 2 more quarters. Q2 guided at 29-30%. No relief yet.

🐊 BUT WHY DID LOSSES BLOW OUT?

GAAP net loss widened to $14.3M from $2M last quarter.

 OpEx surged to $56.9M vs $39.5M a year ago, R&D +44%, SG&A +52%. AAOI is spending hard to secure its position. The bull case says this is investment, not destruction. The bear case says there’s no operating leverage showing up despite massive increase in incremental YoY revenue. Both are valid.

🐊 WHAT ACTUALLY MATTERS FOR BULLS:

 Management re-confirmed the $450M monthly revenue run rate target for mid-2027, implying $5B+ annualized.

Full year 2026 guidance raised to $1.1B. Real demand is reportedly $1.4-1.5B  they literally can’t build fast enough.

Sugar Land is now 900K sq ft. They received a $20.9M Texas Semiconductor Innovation Fund grant last week. CPO laser production is targeted for 80x scale-up.

 They’re working with 3 hyperscalers, one fully qualified, another nearly there. Significantly larger growth is guided to start in Q3 as new capacity comes online.

🐊 THE VALUATION QUESTION IS BRUTAL:

At ~$155-160 per share and ~$12.5B market cap, you’re paying for a company that today has $0.97M in adjusted EBITDA.

Citron calls it +112x forward earnings. Even bulls acknowledging the 2027 thesis need to underwrite 40% gross margins, aggressive opex discipline, and sustained hyperscaler demand all simultaneously. Innolight is the sword of Damocles.

 One aggressive Chinese competitor price cut on 800G and the margin thesis unravels.

🐊 THE HONEST VERDICT:

This is a capacity execution story with binary characteristics. Management just doubled down on targets that would justify the current valuation several times over. If they hit the mid-2027 targets, you’re buying a multi-bagger at today’s prices. If capacity ramps slip, hyperscaler concentration bites, or margins fail to inflect, you’re holding a $12B company making near-zero profit. The Q3 2026 earnings call is the one that actually tells you which story this is that’s when the capacity should materially hit the P&L. Until then, this is a faith-based investment in execution.

Execution is everything from here. Either they become a top 3 global laser powerhouse, or they remain a "what if." I’m watching the 800G unit counts and the 1.6T qualification timeline like a hawk. 🐊

You all know, that I’m an investor in both $LITE and $COHR, so this two-day earnings window matters a lot to my portfolio. Here’s what I actually think is going on after digesting both calls.

🐊 COHR Q3 FY26 beat but punished (negative in after hours)

Revenue came in at $1.81B, up 21% YoY, with non-GAAP EPS of $1.41. Street was expecting $1.78B revenue and ~$1.39 EPS, so the top line beat. The problem? The market was looking for higher profitability and the beat wasn’t enough to satisfy more optimistic projections, leading to a sharp selloff in after-hours trading.

🐊 First what was expected and delivered:

🔹datacenter strength,

🔹continued 800G and 1.6T ramp, and

🔹sequential margin expansion.

Management delivered all of that.

Q4 guidance was $1.91B–$2.05B revenue and non-GAAP EPS of $1.52–$1.72, the midpoint of that range crosses $2B, which was the magic number the market was looking for.

🐊 What people didn’t expect fully:

The industrial segment drag persists and is quietly the bear case anchor. Industrial revenue dropped sequentially to $444M from $477M, even as datacenter lit up. Management keeps saying industrial will recover, but they said this last quarter too, citing semi-cap orders. It’s not happening fast enough. The market is starting to notice that COHR is being priced as a pure datacenter play, but carries real industrial exposure that limits margin leverage.

🐊What’s reconfirmed signal

Four growth engines

OCS,

CPO/NPO,

Multi-Rail, and

thermal solutions

adding a claimed $20B+ incremental SAM, with revenue timelines staggered from now through H2 2027. The NVIDIA $2B investment in Coherent also featured prominently as a validation signal for next-gen AI architectures.

🐊Now contrast with LITE Q3 FY26 which is cleaner print, cleaner story

I wrote about it yesterday, Lumentum’s Revenue and margin velocity is exceptional.

Components and laser chips are essentially sold out, with management flagging a supply-demand imbalance exceeding 30%.

On OCS, management admitted it is “the biggest single tightrope” given rapid customer expansion and persistent component shortages. That’s a candid admission they’re supply-constrained, not demand-constrained. Very different from COHR’s industrial segment which is dead weight.

NVIDIA’s direct investment drove cash to $3.17B , giving LITE an almost stress-free balance sheet. COHR still carries meaningful debt and restructuring charges.

🐊 How as an investor I think about these two names?

$COHR and $LITE got $2bn each from $NVDA almost together and investors often conflate them as exactly same company, but they are not.

LITE is the cleaner, higher-conviction AI optics pure play right now. Management is targeting $2B quarterly revenue and the roadmap to get there EML ramp, OCS backlog, CPO inflection is coherent (no pun intended) and funded. The Greensboro InP fab is a multi-year capacity optionality option not in numbers yet.

$COHR is bigger, more vertically integrated, and arguably better positioned for the full optical stack long term.

COHR is currently two different companies: a hyper-growth AI transceiver business and a cyclical industrial materials business. Until the industrial side troughs, it will keep a lid on the valuation multiple compared to a "cleaner" peer like LITE.

The NVIDIA CPO win and OCS backlog are real. But the industrial segment is a drag on multiples, the balance sheet is heavier, and the market is in “show me” mode after repeated guide-ups that still disappoint on the bottom line.

In short: LITE is the sprinter, COHR is the platform. Both are worth holding for me but if I’d be sizing up one right now, LITE’s risk/reward into its CPO and OCS ramp is cleaner.

$LITE $COHR

This is not an investment advice, do your own research.

LITE Q3 FY2026 Post-Earnings Analysis

Yesterday, I posted what am expecting from the earnings call, and here are my thoughts on that, based on earnings call.

Starting with Headline

🐊Revenue grew 90% year-over-year to a record $808 million (vs $809 million) and market’s not too chuffed coz of that small topline miss

🐊non-GAAP operating margin expanding to 32.2%. That’s exactly what was needed to validate the “sold out through 2027” bull thesis.

My Watchlist vs. What Delivered

🐊 I was looking for OCS revenue ramp.

Management was not beating the chest on updated OCS number, which ‘could be’ a signal. The OCS backlog was already confirmed above $400 million heading into tonight’s call, with analysts specifically watching whether management would upgrade that figure. Not a red flag, but not a catalyst either.

🐊 CPO update

The H1 2027 delivery question is answered: no pull-forward signal emerged. Hurlston specifically called out CPO and OCS as growth drivers that are only “beginning to kick in,” which confirms the H1 2027 timeline is holding but not compressing. This is both honest and slightly disappointing for those like me who wanted an earlier ramp confirmation.

🐊 1.6T margins / 30-31% opex target

The margin story this quarter was driven by “scale-across” components, pump lasers and narrow linewidth assemblies, not just transceiver mix. This is actually qualitatively important: it means the margin expansion isn’t purely dependent on 1.6T ramp timing. The business has depth in its components engine that’s underappreciated.

🐊 Q4 guidance

Q4 guidance came in at roughly $960 million significantly above Wall Street’s $935 million expectation. That’s a strong print and directly addresses “demand softening” concern. The bull thesis is intact.

🐊 NVIDIA relationship

Read my original note on my question, nothing new operationally emerged on scope or timeline beyond what was known. The $2B strategic investment continues to anchor balance sheet confidence but didn’t advance strategically this quarter.

🐊 EML supply

The company is undershipping demand by roughly 30%, and all EML capacity remains booked through 2027. No relief, still tight which is actually constructive for pricing.

🐊The Qualitatively Interesting Bit FinTwit Got Right

I got this amazing comment from “The Preponderance of Evidence” that rightly flagged something worth paying attention to: Lumentum dropping virtualization is not a negative it’s a resource focus signal. When a supply-constrained company stops pursuing a business segment, it means they’re rationing engineering and manufacturing capacity toward the highest-margin, highest-demand products. Virtualization was consuming engineering bandwidth for comparatively small TAM. Dropping it to focus on CPO, OCS, and 1.6T/EML is capital allocation discipline, not retreat. The commenter correctly framed this as a positive for addressable market concentration.

The Bear Risk I Flagged Is the Dominant Narrative Tonight

The “richly valued, embeds perfection” bear risk is precisely why the stock is down on an objectively good print. At ~60x forward EPS, any quarter that doesn’t exceed expectations reads as a miss to the market, even when it’s technically in-line. The 2027 guide is what matters from here everything in 2026 is already contracted. The market needs to see whether the OCS backlog conversion accelerates into a billion-dollar quarterly contributor and whether CPO qualification with hyperscalers moves from purchase orders to commercial shipment confirmation.

Bottom Line

The business is executing exceptionally well. Management’s stated targets of $1.25 billion per quarter in 9–12 months and $2 billion in 18–24 months, at 40% operating margins, remain intact. The stock reaction is a valuation story, not a fundamental story. The key phrase I identified was CPO qualification timelines with hyperscalers that remains the single most important catalyst for the next re-rating.

Nothing from tonight’s call breaks the thesis; it just didn’t accelerate it

There is an ongoing narrative on social media that Google $GOOGL + Nvidia $NVDA are jointly crushing Amazon’s silicon (Trainium chips) and even Broadcom $AVGO is the other loser along with $AMZN.

And the reasoning goes as follows:

$GOOGL + $AVGO partnered to design TPUs

$AMZN + $MRVL partnered for Trainium chips

First combo is working well, whilst latter is not, and consequently $AMZN has wasted billions, and have no option but to go to $NVDA.

Look am invested in $GOOGL, $AMZN, $NVDA for years and have been following these companies inside out, and I can tell you with full confidence that it is a much more nuanced story.

Where Google + Broadcom are winning

• Efficiency Lead: Google’s TPU v7 (Ironwood) is a technical marvel. Recent data suggests a 30% to 44% TCO advantage over Nvidia’s GB200, particularly for internal workloads like Gemini 3.

• Vertical Integration: Google’s ability to co-design the model, the compiler, and the chip gives them an "efficiency flywheel" that is currently the gold standard in the industry.

• Broadcom’s Dominance: The partnership with Broadcom ($AVGO) is indeed a powerhouse, now extended through 2031 to cover future TPU v8 generations.

Is $AMZN failing?

Looking beneath the surface, the "Amazon is failing" narrative doesn't hold up against the massive capital commitments we’re seeing in mid-2026.

1. The $100 Billion Counter-Evidence

In April 2026, Anthropic signed a $100 billion, 10-year deal with AWS. They aren't leaving; they are scaling. They currently utilize over one million Trainium2 chips and are the lead partner for Project Rainier, one of the world's largest compute clusters.

2. Multi-Cloud is the New Standard

Here is the most important and beautiful thing, Anthropic is playing a brilliant hand by not choosing. They are a primary design partner for both Google and Amazon. They use TPUs for specific frontier research and Trainium for massive-scale deployment. In 2026, the smartest AI labs are avoiding "hyperscaler lock-in" by building for cross-platform portability.

3. The "NVLink Fusion"

Amazon’s move to support Nvidia’s NVLink Fusion in Trainium4 isn't a surrender it’s a hybrid strategy. It allows data centers to mix and match Nvidia GPUs and Trainium ASICs in the same rack. Amazon is simultaneously a founding member of the UALink open standard, effectively hedging their bets to ensure they can host any customer, on any hardware.

Now What? The Investor Takeaway

For investors, the takeaway isn't about picking which hyperscaler "wins," but recognizing the structural shift in the semiconductor stack:

• The Death of the Commodity Cloud: Cloud providers are no longer just landlords; they are chip designers. This vertical integration protects their margins against Nvidia's high markups.

• Broadcom is the "System" Play: Even though am not invested but I think $AVGO has evolved from a component maker to the essential backend for the world’s custom AI silicon (Google, and now potentially OpenAI).

• Nvidia’s Pivot to Infrastructure: By opening NVLink to third-party chips (Fusion), $NVDA is ensuring it captures value through the "connective tissue" of the data center, even when the chips themselves aren't theirs.

Bottom Line:

From where I see, we are moving into a multi-polar AI world.

Google has the current edge in efficiency,

but Amazon’s $100B fortress with Anthropic ensures they remain a dominant force.

The real "alpha" lies in the companies providing the interconnects and custom designs that make this massive scale possible.

This is not investment advice, am invested in $GOOGL, $NVDA and $AMZN, and might sell anytime without declaring, so do your own research.

SK Hynix dropped Q1 2026 results this morning and they were, frankly, absurd.

I would not discuss numbers, that you can see on your own, most were super good, I would focus on value add analysis.

Revenue, operating profit, and margins all hit all-time quarterly records, smashing the previous records set just three months ago. The operating margin printed well above TSMC, widely considered the industry profitability benchmark.

What drove it?

HBM, server DRAM, and enterprise SSDs. The same playbook but the numbers are escalating faster than even bulls expected. Seasonal Q1 weakness simply didn’t show up. AI infrastructure spending overwhelmed it.

The most important forward-looking comment came from management directly: as AI evolves from large model training toward agentic AI which repeatedly performs real-time inference across various service environments the foundation for memory demand is expanding.

This matters. The bull case has always been that inference would be the second leg of the AI memory trade. SK Hynix just confirmed it’s arriving. Agentic AI isn’t a single large training run it’s parallel, real-time, and persistent. That means structurally more conventional DRAM. More NAND. Not less.

Vera Rubin / SOCAMM2

Days before this print, SK Hynix announced mass production of SOCAMM2 memory modules built specifically for Nvidia’s next Vera Rubin platform. This is not a roadmap slide. It’s in production now. SK Hynix is Nvidia’s closest memory partner and the results prove it.

NAND is no longer commodity

This is the part most people are missing. NAND is increasingly becoming compute infrastructure, not storage. Key-value cache offloading is now central to inference pipeline efficiency. Enterprise SSDs are getting pulled directly into the GPU I/O loop. That’s a structural change, not a cycle — and it’s why NAND demand is accelerating alongside HBM, not instead of it.

Read-through for $MU

Micron already confirmed this dynamic with their blowout February quarter. SK Hynix validates it all over again. Supply is tight, pricing power is intact, and hyperscaler demand isn’t slowing. Morgan Stanley and BofA both see the supercycle persisting well into 2027.

The capex signal

SK Hynix announced a massive new advanced packaging facility yesterday. M15X is ramping. The Yongin chip cluster is accelerating. They are betting hard that supply stays tight and AI capex keeps compounding. When the supplier is this aggressive on capacity, it tells you everything about where demand visibility sits.

The number that sticks: a 72% operating margin. In manufacturing. In semiconductors. That’s not a cycle. That’s a franchise.

Am Long $MU, $DRAM Watching the photonics supply chain for the next leg.

This is not an investment advice, do your own research, I can make mistakes and I do make mistakes, otherwise I would have been Warren Buffett.

$LPKF is all the hype today, I first covered LPKF Laser & Electronics (http://LPK.DE) with the community on February 1, 2026 a when the stock was trading at approximately €7.8. As of April 20, 2026, it has surged to €13.0  approximately 66% in under three months.

https://stockcrock.substack.com/p/heat-wall-that-blocks-the-semis-how?utm\_campaign=post-expanded-share&utm\_medium=web

And then again covered in my post on 22 Feb.

A great question came in from the community today: $LPKF vs. $SHMD, which is the better stock for the glass substrate supercycle? Whose tech is better?

To me the Right Question is Not Who has better technology  …  It's which layer and who has higher chances of being disrupted

These two companies are not competitors. They are sequential steps in the same production line. Asking which one to buy is like asking whether you need the drill or the plumbing. The answer is both,  because one is useless without the other.

LPKF creates the hole.=> SCHMID makes the hole electrically functional. A drilled via with no copper inside carries no signal.

Neither step can substitute for the other the physics is absolute.

$LPKF

LPKF's LIDE process uses a  laser to create a precise damage track through glass, followed by a selective wet etch that removes only the modified material. The result is via walls with near-zero micro-crack initiation and minimal residual stress critical when a single crack under a $10,000 co-packaged AI assembly scraps the entire unit.

Their moat is process IP and tacit knowledge. Major semiconductor and packaging players have qualified LPKF equipment in their validation lines, creating significant switching costs once a process is certified around LPKF's specific via geometry.

The risk: this is an equipment moat, not a production moat. LPKF sells machines. Real competitors to watch are Trumpf, Coherent's laser division, and Philoptics (KOSDAQ: 161580), backed by Samsung's production commitment, which claims a single-pass variable geometry approach that warrants monitoring. Covered in my post on Feb 22

https://stockcrock.substack.com/p/the-shifting-monopolies-of-ai-is?utm\_source=profile&utm\_medium=reader2

SCHMID Group N.V. ($SHMD)

Where LPKF drills the hole, SCHMID's wet-chemical processing systems make it functional. Their InfinityLine systems handle the full sequence: cleaning via walls, depositing the seed layer that anchors copper to glass, electroless plating to initiate fill, electrolytic plating to build copper to specification, and final surface treatment.

Three engineering challenges make this harder than it sounds:

Adhesion: Copper does not naturally bond to glass. SCHMID's seed layer chemistry creates a molecular bridge that must survive thousands of thermal cycles under AI workload conditions.

Void-free fill: A 50-100 micron via at 200-400 micron depth requires uniform copper fill with zero voids. A void at 1.6T signal frequencies causes impedance discontinuity the signal reflects rather than transmits.

CTE mismatch: Glass expands at ~3 ppm/°C. Copper at ~17 ppm/°C. Post-plating chemistry must manage this stress differential to prevent delamination over product lifetime.

SHMD's competitive moat is systems integration. They supply not just individual tools but the co-optimized process sequence chemistry, equipment parameters, and controls tuned together. Substituting a competitor's tool mid-sequence requires re qualifying the entire line from scratch.

Disruption risk is lower than LPKF's because there is no competing technology threatening to replace electroless and electrolytic plating at this layer. The longer-term risk is customer internalization a major manufacturer developing proprietary wet processing in-house but this typically takes 5-7 years.

The Capital Expenditure Reality

Per complete glass substrate production line:

* Laser drilling (LPKF's layer): ~15-20% of total capex

* Wet processing (SCHMID's layer): ~35-45% of total capex

SCHMID captures a larger share of each production line dollar not because wet processing is more important, but because it involves more sequential steps and more installed equipment surface area. This is the revenue opportunity sizing that should anchor any financial model.

Conclusion: Why Choose?

Buy LPKF for high-beta exposure to the precision drilling chokepoint. Accept the high multiple and the small-cap volatility. 

Buy SCHMID ($SHMD) for exposure to the larger-capex wet processing layer, lower disruption risk, and a more reasonable entry valuation. The "general contractor" of the glass substrate line captures more dollars per fab buildout than the drilling specialist.

However, I would either open small positions, or not enter currently and wait for pullback, especially for LPKF.

Disclaimer: For research purposes only. Not financial advice. Prices approximate as of April 20, 2026. Verify all data independently before making investment decisions.

$AIXA had earnings call and popped up another +11%, bringing YTD upside to +130% and 1 yr upside to +288%.

You guys know that am already invested in Aixtron ($AIXA) and have written about this German champion in the past, framing it as a quintessential "hidden monopoly" within the semiconductor equipment space. I also think that this is early innings of a massive Photonics Supercycle. As AI clusters migrate from 800G to 1.6T and eventually 3.2T optical modules, the bottleneck for AI scaling has shifted from the H100/B200 compute engine to the interconnect fabric itself. You cannot run a frontier model if the data can’t move between the GPU and the memory stack fast enough. Aixtron sits at the very mouth of this funnel.

I would not regurgitate the numbers here, rather analyse and unpack the things I consider important with impact on overall AI and semisector.

The Great Divergence: GaN vs. SiC

One of the most tactical takeaways from the call was the stark contrast between Gallium Nitride (GaN) and Silicon Carbide (SiC).

🐊 SiC Overcapacity:

Management was candid about Silicon Carbide being in a state of "substantial market overcapacity," with SiC expected to be only 10% of their revenue this year. This is a warning shot for pure-play SiC substrate and device makers who are still digesting inventory.

🐊 The GaN Opportunity:

Conversely, GaN is entering a golden era. Management expects AI data centers to become the largest single application for GaN power semiconductors. Because GaN is significantly more efficient than traditional silicon at high frequencies, it is becoming the standard for the power supply units (PSUs) that feed power-hungry AI servers.

For those looking to play the GaN trend beyond the equipment layer, keep an eye on these players:

• Navitas Semiconductor ($NVTS) – A US-based pure-play leader in GaN power ICs.

• Infineon Technologies ($IFX.DE / $IFNNY) – A European giant with a massive, growing footprint in GaN following their acquisition of GaN Systems.

• STMicroelectronics ($STM) – Another European heavyweight with strong GaN-on-Silicon capabilities.

• BluGlass ($BLG.AX) – An Australian-listed speculative play involved in specialized

🐊 Datacom Doubling:

Management is forecasting that demand for datacom lasers will more than double YoY in 2026. This is a massive green flag for the laser makers themselves, such as Lumentum ($LITE) and Coherent ($COHR), who are racing to expand Indium Phosphide (InP) capacity. (am invested in both)

🐊The "Tool of Record" for AI Interconnects

The standout signal from the call was the performance of the G10-AsP system. Management confirmed it has become the "tool of record" for the next generation of photonic components

🐊 Order Intake Explosion:

Order intake hit €171 million, a ~30% YoY increase that blew past analyst expectations. Crucially, 65% of these orders came from the optoelectronics segment

🐊 The Interconnect Fabric:

The call confirmed that as AI clusters grow, the physical limit is no longer just the chip, but "rack-to-rack" communication. This validates the thesis that Silicon Photonics (SiPh) is moving from a niche technology to a core requirement for AI scaling.

🐊Implications for the Memory (HBM) Ecosystem

While we often view memory through the lens of SK Hynix or Micron $MU, the Aixtron update provides a critical "read-through" for how these chips will be connected in the future.

🐊 Structural Bottlenecks:

For those holding SK Hynix, $DRAM or Micron ($MU), the shift toward optical interconnects is the solution to the "power wall" that threatens to limit HBM performance. Aixtron’s order backlog suggests the equipment for this transition is being installed now.

🐊 Near-Stack Integration:

The acceleration of Co-Packaged Optics (CPO) means that optical engines will eventually sit directly on the package alongside High-Bandwidth Memory (HBM) stacks.

Look the "Photonics Supercycle" isn't a theory anymore it’s appearing in the capex cycles of the world's largest chipmakers.

And remember, none of this is financial advice. The crocodile can make errors. So do your own research.

Memory has become one of the tightest parts of the AI supply chain. But we also know memory is cyclical, so should one be concerned ?

Am invested in $MU and $DRAM, and have to constantly read tea leaves and monitor what is happening in memory world, and one of the most important indicator was Nanya’s earnings call.

For those who dont know, Nanya is a specialist in DRAM (Dynamic Random Access Memory) based in Taiwan. Unlike the giants (Sk Hynix, Samaung, Micron $MU) who are pivoting hard toward AI servers, Nanya focuses on:

 • Consumer & Specialized DRAM: They supply memory for consumer electronics, automotive systems, and industrial IoT.

• Process Migration: They have successfully moved into 10nm-class technology, which allows them to produce competitive DDR5 and LPDDR5 chips.

• Market Position: They are often seen as a "swing producer" when the Big Three ignore smaller markets to focus on high-margin AI chips, Nanya captures that overflow.

Earnings

So coming back to the fact that I am unpacking the impact of earnings call:

The "MU" Mirror: ASPs in Price-Discovery Mode

Nanya’s reported 70%+ ASP surge in a single quarter is a massive read-through for Micron ($MU).

• The Impact: If a "legacy" player like Nanya can command a 70% hike, Micron’s high-performance server DRAM and HBM3E/HBM4 products are likely operating in a pricing environment the market hasn't fully modeled.

• The Signal: Expect significant upward revisions in $MU’s forward guidance as their cycles capture this aggressive pricing delta.

2. The Gross Margin "Rubicon": 67.9% is the New Floor

I was watching for the 60% threshold; Nanya blew past it.

• Portfolio Read: This confirms that the cost of the 1B node transition is being swallowed whole by the market's desperation for bits. For $DRAM holdings, this proves that buyers are currently paying for availability over everything else.

• The Maturity Signal: Yield is scaling. If Nanya can hit these numbers, the industry-wide transition to advanced nodes is healthier than the "HBM yield struggle" rumors suggested.

3. Strategic "Decoupling" is Confirmed

The completion of the NT$78.72B injection from Western Digital, Kioxia, and Cisco creates a structural moat.

• Analysis: These aren't just investments; they are insurance policies. By taking equity, these customers have effectively admitted they cannot find supply elsewhere. This stabilizes the global pricing floor and reduces the "cyclicality" risk that usually haunts memory investors.

The Memory Outlook: Bull vs. Bear

Micron ($MU)

• The Bull Case (HBM Dominance): Nanya’s 70% ASP jump suggests $MU’s premium HBM4 will command astronomical margins. If $MU maintains yield leadership, they capture the lion's share of the NVIDIA Vera Rubin ramp.

• The Bear Case (The Capex Trap): Record spending on HBM4 fabs creates a high "break-even" point. If the Rubin platform faces any delays, $MU is left holding the bag on the most expensive idle capacity in history.

$DRAM (Broad Market)

• The Bull Case (Extended Scarcity): As long as HBM4 production consumes 4x the wafer capacity of standard DRAM, the "Standard" market remains starved, keeping prices at record highs regardless of consumer demand.

• The Bear Case (The Supply Flood): If HBM4 yields "crack" (improve faster than expected), the crowding effect reverses. Excess wafer capacity could flood back into standard DRAM, causing a sharp price correction in H2 2026.

The Crocodile’s Verdict

The supply vacuum is confirmed and extended. The strategic moat is real.

Nanya proved the thesis: Yield is the truth, and right now, the truth is very profitable.

However, we must stay alert for the tide. The sellers still have the leverage today, but the "Supply Convergence" of H2 2026 remains the ultimate turn. If the HBM yield wall cracks, the capacity currently "starving" the market will come rushing back as a flood.

Bottom Line: Watch the volume of order cancellations in late Q3. That is the only signal that matters when the rest of the street is blinded by 70% margins.

Not financial advice. This is a crocodile’s rambling, who can be wrong.

Am invested in $ASML, and their earning release today was important for me not only to understand the company’s future but also memory stocks ( am invested in $MU and $DRAM) future and overall AI cycle.

Headline numbers were clean:

🐊 net sales of €8.8 billion at the high end of guidance,

🐊 gross margin hitting 53%,

🐊 net income of €2.8 billion.

🐊 Full-year guidance was raised to €36–40 billion… made tighter.

To me more important than numbers was the words.

CEO Christophe Fouquet said something that should be reverberating through every memory investor’s thesis right now: “Our customers tell us they are sold out for 2026, and their supply constraint will last beyond 2026.”

That’s not a forecast. That’s a confession from the people who build the machines that build the chips.

Memory Just Became the Anchor, Not the Amplifier

For most of ASML’s history, memory was the volatile part of the business, the segment that blew up order books in upcycles and cratered them in down ones. That dynamic has structurally changed.

Memory chips accounted for 51% of new tool sales in the quarter, up from 30% in Q4 2025 , driven by Samsung and SK Hynix ramping capacity for AI.

This isn’t inventory-driven demand. HBM4 requires logic-grade EUV lithography on the base die meaning every new node requires more EUV layers, not fewer. Memory is no longer cyclical noise. It’s the load-bearing wall.

For $MU specifically, this is the ASML confirmation they didn’t need but definitely wanted. Micron’s HBM4 is on track to ramp in Q2 2026, with management noting supply constraints persisting well beyond this year. The ASML call just validated that from the equipment side, even for $DRAM, this is structural, not tactical.

The Hidden Strength: Recurring Revenue

Buried in the report was a number worth flagging, Installed Base Management contributed €2.5 billion in Q1, exceeding expectations, reflecting the growing recurring revenue stream from ASML’s expanding installed equipment base. This is services, upgrades and maintenance on machines already in the field and it matters because it provides a structural revenue floor independent of new system orders. The machines already deployed are being pushed harder than ever. Even in a hypothetical slowdown, this base doesn’t disappear overnight.

Geography Tells You Where the Money Flows

South Korean customers: Samsung and SK Hynix accounted for 45% of Q1 sales, with Taiwan at 23%. China, which was once ASML’s largest single region, is being deliberately wound down as export restrictions bite. Management was unambiguous: Chinese customer demand will be significantly lower in 2026 than in 2024–2025.

The bull case for the MATCH Act thesis that lost China revenue migrates to higher-margin Western fabs is playing out in real time. Korea at 45% is not an accident. It’s the reallocation trade in motion.

The One Blemish

Q2 guidance midpoint came in below consensus. The company guided Q2 revenue of €8.4–9.0 billion, with the midpoint sitting below analyst expectations. Management flagged tariff-related macro uncertainty as a factor ASML’s supply chain crosses the Atlantic multiple times, making it unusually exposed to bilateral escalation. This isn’t existential, but it’s not nothing either.

What This Means for the Broader Semi Complex

ASML is the tollbooth. Every advanced chip logic or memory passes through their machines. When ASML raises guidance and says supply can’t meet demand for the foreseeable future, that’s a green light for the entire AI infrastructure stack. Logic customers are accelerating into leading-edge nodes faster than anticipated to meet AI product timelines a tailwind for $TSM and anyone in the advanced packaging and photonics layers sitting beneath it. $MU, the $DRAM ETF, and the broader Korean memory complex all received the same fundamental confirmation today, from the most credible source possible.

Disclaimer: This is not financial advice, this crocodile knows nothing, so do your own research.