Finn Stockinger

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Finn Stockinger

Finn Stockinger

@FinnStockinger

Seeking asymmetric edges in quality growth & tech. Thoughts on markets, compounding, and rational investing amid noise. NFA 👇 Follow for clarity, not hype.

Worldwide Katılım Aralık 2025
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Finn Stockinger
Finn Stockinger@FinnStockinger·
Called $XFAB more than a month ago. Patience pays off when you get in early. We are up +60% since my post. And now @aleabitoreddit just joined the party. Welcome aboard, captain!
Finn Stockinger tweet mediaFinn Stockinger tweet media
Finn Stockinger@FinnStockinger

The "Specialty Foundry" Play: Is $XFAB Following the $TSEM Blueprint? Scanning the European Photonics supply chain for deep-value plays, X-FAB $XFAB stood out last week. While the market still labels them as a legacy automotive supplier, their operational roadmap suggests they are aspiring to become the European equivalent of Tower Semiconductor $TSEM. X-FAB is essentially the "younger brother" in the specialty foundry space - smaller in market cap, but aggressive in its technological pivot. 1⃣The US Connection: It’s no longer a secret - NVIDIA is officially integrated into the $XFAB ecosystem via the photonixFAB consortium. They are using X-FAB’s SOI platform to tape out layouts for next-gen AI optical switches and transceivers. 2⃣The Technology Leap: In Jan 2026, X-FAB scaled Thin-Film Lithium Niobate (TFLN) on 200mm wafers. TFLN is the physical enabler for 1.6T connectivity. By combining this with Micro-Transfer-Printing (MTP), X-FAB is solving the "on-chip light source" problem that has bottlenecked AI clusters. 3⃣Beyond Automotive: While the market labels them a "car chip maker," X-FAB just finished a $1B CapEx cycle to pivot towards high-margin Specialty Tech. Their Microsystems segment (SiPh/MEMS) recently crossed the $100M revenue mark, signaling a massive shift in product mix. 4⃣Comparison to TSEM: Like Tower, X-FAB leverages fully depreciated assets to run specialized processes. However, X-FAB’s lead in Silicon Nitride (SiN) and Heterogeneous Integration gives them a distinct advantage in the EU's sovereign AI supply chain. 5⃣The $IQE/LIGENTEC Synergy: By integrating IQE’s epitaxial wafers and Ligentec’s SiN designs, X-FAB provides a turnkey "Foundry-as-a-Service" for the optical era. Bottom Line: $XFAB is trading at a discount to legacy foundries, yet it sits at the epicenter of the optical roadmap in Europe.

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Jim Liu
Jim Liu@jiahanjimliu·
$IREN Thesis: H2 2026 - 2027 Financial Model: jiahanliu.github.io/IREN-Community/ Previous Thesis Review I'd like to start each updated thesis by reflecting on what went right and wrong on my previous thesis (1) and if the wrongs are being addressed. Although I flagged HBM as potential trajectory altering bottleneck in February (2), I saw the HBM bottleneck impact as increased Capex but did not foresee the issues arising from delays in GPU deliveries. You see, GPUs and HBM are co-packaged. This means, Nvidia secures the HBM supply and then TSMC integrates the GPU and HBM into the same package to make a GPU chip. Nvidia then controls the GPU chip deliveries to hyperscalers or server integrators like Dell, SMCI, and Lenovo. IREN was getting GPUs from both Dell and Lenovo late which actually means Nvidia did not prioritize them. In ramping up a datacenter, there's only so much theory based preparation IREN can do. In hardware engineering, ramp up problems can arise sequentially. Only once you get the a significant batch of GPUs and run them for longer periods of time, do you uncover cooling deficiencies. Only once you get the cooling right, can you run networking stress test scripts. I'm sure IREN had built in slack time to mitigate delays but there's no mitigation for GPU deliveries arriving months late. Thus we have seen a painful revenue ramp for IREN in H1 2026. For 2027, the largest change was that Nvidia and IREN formed a strategic partnership to accelerate deployment of AI Infrastructure (3). Contract wise, this is written has Nvidia gets options to buy IREN at $70 vesting upon "Nvidia GPU infrastructure is deployed across IREN campuses and only fully vest upon deployment of 600k GPUs" (6:40-6:55 of 4). However, for Nvidia, these options aren't the true motivator, but rather it's about expanding their ecosystem as I will explain later. For H2 2026, the change will be that B300/GB300 production will be fully ramped. In 2025-H1 2026, beyond the unprecedented demand, exacerbating the demand-supply imbalance was that the B200/GB200 was a smaller generation of GPUs compared to H100/H200 and B300/GB300 because the Blackwell ramp had faced technical and supply chain challenges (5). Demand Review In early February, I identified that Anthropic would release unprecedented growth numbers would result in urgent GPU demand (6). While the demand from Anthropic has played out, Anthropic subsequently signed with everyone possible from CRWV (7), xAI to Akamai Cloud (8) and Amazon, Google, Microsoft. IREN opted to make their flagship SW1 campus be Vera Rubins rather than GB300s but I will explain why this is a prime site for Anthropic. The Core Thesis Every AI thesis should be firmly grounded on roadmap and incentives of the AI Hyperscalers: Nvidia, Anthropic and OpenAI. The previous generation of Hyperscalers followed the Amazon model: excel at cloud infrastructure for in-house projects and provide managed software services for enterprises applications. The AI generation of Hyperscalers will follow the Anthropic model: excel at agentic AI that builds software in house and provide agentic AI for enterprises to build vertically integrated applications and tailored software infrastructure. Why vertically integrated applications and tailored software infrastructure? Contrary to misconception, AI does not make SaaS obsolete but rather raises the bar for SaaS. Just like how excelling at Leetcode and reading DDA is no longer sufficient for software engineering interviews, application level software is no longer sufficient for SaaS companies. We saw the following business solidify their moat through vertically integrated applications and tailored software infrastructure: 2000s: Amazon, Google 2010-2025: Meta, Netflix, Uber, Salesforce, Airbnb, TikTok, Palantir, Tesla. In the 2026-2030 AI will enable smaller teams to output more software and having vertically integrated applications and tailored software infrastructure will be a requirement of SaaS companies to have proprietary services and squeeze out optimizations. In other words: if you've played around with Claude Code at all, you will know that application level software by itself is not a differentiated business. Beyond the OpenAI and Anthropic, there will be a important role for open source and custom models. However, generating application code and connecting it to Token APIs will not be a differentiated business. The margins will come from optimizing the inference stack based on application call patterns down to bare metal. Some companies like Cursor and $TEM have gone as far as building their own custom models to derive proprietary differentiation and accrue margins. Open Source Models Open Source will be important. Open Source Models will be like Linux: very important but optimizing Linux is not a big business. Many leading enterprises have in-house customized distributions of Linux optimized for their workloads. While there is alot of chatter about how Anthropic and OpenAI Token cost have become borderline untenable (9), the thing you have to understand is that Anthropic and OpenAI are building a ecosystem not a token generator. If Open Source takes significant enterprise market share because it's cheaper, Anthropic and OpenAI will have different tier models on the cost curve. Both Anthropic and OpenAI need high market share to achieve economics of scale and form an ecosystem. They already have cost tiered models but if Open Source starts to take significant enterprise market share, OpenAI and Anthropic will get more aggressive. Let's me put it another way: principal engineers at Google are using Claude Code to build GCP (10). Claude Code is improving rapidly. Do you think the AI Natives and Leading Enterprises of tomorrow will build their own software infrastructure or pay out 80% margins to Neoclouds? IREN's Role I see IREN's software acquisitions in Mirantis as a 2-3 year stop gap while AI Natives and Leading Enterprises ramp up on AI while Claude Code continues to improve. In the age where Nvidia/Anthropic/OpenAI are the Hyperscalers, I see IREN as the Exxon ($XOM). XOM does alot more than producing oil and gas, they do all the downstream work to refine, distribute and create chemcial dervatives of oil. Likewise, IREN has the expertise to do power studies to secure grid connected power and build out power infrastructure but vertically integrated in the sense it does datacenter design, datacenter operations for hardware uptime, and managed Kubernetes. Some who are trying to invest in Neoclouds as an AI play are ignoring the risks of how AI will disrupt software. AI does not make software obsolete at all but it increases the software which leading enterprise will have optimized in-house. There will be many successful Colocation providers and Neoclouds but IREN unique in that it has more vertical integration than colocation providers (CIFR, WULF, HUT) but without higher valuation premium for the software layer (CRWV, NBIS) primed for disruption and more grid connected power secured than anyone else outside the old HS. Other Neocloud investors may say electricity is cheap but once you look $BE, you realize secured power is valuable. The margin which other Neoclouds like $ORCL and $NBIS give up to BE is margin advantage for $IREN. In other words, with 4.9GW of secured power and multi-GW pipeline, $BE and $IREN have a shared-factor exposure to power but with $BE market cap at 86B, IREN's power component isn't properly valued yet. Anthropic/OpenAI as Foretellers of Software in the Age of AI Just how Amazon pioneer web architecture which became the forerunner runner of managed services, Anthropic and OPenAI are the pioneers are AI driven software development and serve as guidance of how the software landscape will develop in the next 5 years. Those who think Anthropic is depending on AWS, CRWV or god forbid Akamai for Cloud Infrastructure don't understand that Anthropic is the best software company on earth. Prior that title belong to Google who developed all their software infrasturcture in house. Anthropic was recently hiring for engineers for ROCm (11), this shows that Anthropic is developing their entire inference stack down the AMD GPU. You bet that already have optimized inference and training stacks for Nvidia GPUs if they are already working on porting it to AMU GPUs. OpenAI is partnering with Dell to bring Codex to on-prem (12). On-prem means deploying Codex to an enterprise's own datacenter. Clearly this means OpenAI has their own inference stack. There's no reason for OpenAI to make this an Dell exclusive, OpenAI will allow enterprises to deploy Codex onto bare metal as this allows them to expand their market share beyond their allocated compute. This will be a tool as they fight Anthropic and Open Source for market share. The takeaway is that Anthropic and OpenAI have optimize their model, inference stack, and workload orchestration all the way to the accelerator. Anthropic and OpenAI will be running optimally whether on CRWV, NBIS, or IREN bare metal GPUs. No matter if you are on CRWV, NBIS or IREN bare metal, Nvidia instruction set architecture is the same. For Anthropic who brings their own inference stack, none of the Neocloud software matters. Nvidia Now why would Nvidia be incentivize to increase IREN's priority for GPU deliveries? @Agrippa_Inv and @franklee6924T have written extensively about NVIDIA DSX initiative where IREN's SW1 site will the "flagship deployment for Nvidia's DSX architecture but I'll explain it from a historical angle. Nvidia has extremely well in building a moat from iterating on CUDA, to buying Mellanox to dominate backend inter-rack GPU networking, to buying Groq for low latency inference. However Nvidia has a key risk as long as AWS, Azure, GCP own the customer relationship, the risk of these Hyperscalers developing their own ASIC is always there. Granted these ASICs are not immediately threatening to Nvidia, Jensen works on long foresight and prevents threats before they rise. Jensen practically brought up CRWV to hedge against the Hyperscalers and then gave strong backing to NBIS. Now, it's strategic parternship with IREN is the third leg to hedge against the trio AWS, Azure and GCP. In the 1990s, Wintel (Windows Intel) dominated the margins. Echoing Andy Grove's strategy of commoditizing your complement, Nvidia is trying to commoditize the current hypperscalers. IREN might yet be the best match for Nvidia strategy because it's about monetizing power at scale and not trying to grow margin on the inference stack. In other words, Nvidia is the modern day bigger Intel, Anthropic/OpenAI are the modern day bigger Windows/OS X, and IREN, CRWV, NBIS are the modern day bigger Dell, IBM, Compaq. In the page of AI, infrastructure buildout will be much larger than PC integrators and IREN will be XOM scale DC/IaaS buildout. Research Posts Above is the overarching view on the IREN thesis. I have written posts covering individual components of the IREN thesis and will continue to cover developments. Financial Model: x.com/jiahanjimliu/s… Power Bottleneck: x.com/jiahanjimliu/s… Value of Secured Power: x.com/jiahanjimliu/s… IaaS and PaaS Markets: x.com/jiahanjimliu/s… Why AI Research Breakthrough that drastically Reduces Need for GPUs is Highly Unlikely: x.com/jiahanjimliu/s… Edge AI: x.com/jiahanjimliu/s… Netflix Case Study: x.com/jiahanjimliu/s… Open Source Models on Open Sourced Infrastructure: x.com/jiahanjimliu/s… Mirantis Strategy: x.com/jiahanjimliu/s… Mirantis Technical Capabilities: x.com/jiahanjimliu/s… Mirantis Sovereign AI: x.com/jiahanjimliu/s… Datacenter Vertical Integration: x.com/jiahanjimliu/s… Hybrid DLC + RDHx Cooling: x.com/jiahanjimliu/s… Credits X accounts actively posting IREN Research that I read: OGs who research I've read from $5: @FransBakker9812 - analyzes everything IREN including satellite images, documents for powered land developments, and site employee hearsay for his sub group @Agrippa_Inv - the cleanest thesis and long form research @_Sgr_A_Star - gets deep into financial releases @bitcoinbutcher1 - sunday spaces lead @Umbisam - risk cautious but not risk adverse insights @nanotitan28 - doing IREN TA since day 1 Large Accounts with Excellent IREN Coverage @TheTechInvest - great coverage of Tech Stocks with all in IREN allocation, previously all-in Nvidia @kevinxu - 8 figure successful investor with high IREN conviction @moninvestor - small/mid cap specialist who fully understands the IREN thesis Industry Coverage: @scludweed/@alanbialo - great repost and who happen to be whales. Not listed here but the biggest retail whale has a bigger allocation than seed investors but shouldn't be revealed for privacy reasons. @MarkosAAIG - Day 3 NBIS Investor Industry Coverage @pepe_maltese - Institutional Grade POV @GlobalCollapse - options dealing @XCapitalMgmt - the legit account covering IREN with Capital in it's name @GyujinAAIG - Korean Medical Resident also covering IREN, Semis and Materials @ilzmcfly - forensic grade digging @StockAnalystPro - AI Director at MSFT POV Seed Investors: @BTCYESPLS, @mikealfred, @TheBigDegen, @roberto45580514
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Finn Stockinger
Finn Stockinger@FinnStockinger·
@erabhinavyadav I think it’s time. I believe it’s only a matter of time before it happens. It’ll be this year - that’s just my personal opinion.
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Abhinav Yadav
Abhinav Yadav@erabhinavyadav·
@FinnStockinger I've been in Telecom industry for while and laid major network in Europe and England. I can definitely see the potential so I jumped in with a smaller position to not miss the boat completely. One thing stops me is that what's stopping another competitor to do the same? Thought?
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Finn Stockinger
Finn Stockinger@FinnStockinger·
$HLIT I’ve been watching this company for two weeks (since their solid earnings report). It has been getting a lot of attention lately, and while I might not be the most original here, I really like what I see. But investing isn't about being original; it's about making money. I haven't bought any shares today, but I am strongly considering it. First of all, big congratulations to @KawzInvests, @CKCapitalxx , and @michaelsikand for pulling this Cinderella out of the shadows and onto the main stage. Excellent fundamental eye. Here is a little secret - I currently work in the ICT industry, so I see this market from the inside. I recently found out that the first smaller tier operator in my country has started deploying Harmonic’s solutions. The market giants haven't made the move yet - yet, because given current technical realities, they simply have no other choice. This means one thing: we are still incredibly early. @KawzInvests has written extensively about the adoption wave in the US, but I am looking at this from Europe. This is a massive market where infrastructure challenges are often significantly worse due to extreme population density and decades-old urban layouts. So not only US, but whole world is global TAM. Here is my view of $HILT story 1⃣The Infrastructure War: Squeezing HFC and xPONTo understand the investment thesis for $HLIT, you have to look underground at the physical and financial constraints of global broadband delivery: ➡️HFC (Hybrid Coaxial-Fiber): This is the dominant legacy footprint owned by cable giants. Historically, it’s an operational nightmare - prone to RF signal attenuation, "ingress noise" (interference leaking into old copper lines), and dependent on a delicate cascade of physical, power-hungry analog amplifiers that fail during seasonal temperature swings. ➡️xPON (Pure Fiber-to-the-Home): Regarded as the long-term endgame, but operators face immense deployment bottlenecks. Tearing up dense European cities to lay new fiber to every single doorstep requires unimaginable capital expenditures (CAPEX) and years of bureaucratic permitting. Furthermore, xPON relies on shared bandwidth architecture; as data traffic explodes, existing optical lines experience severe split-ratio congestion at the central offices. ⬇️Where Harmonic steps in: Their cOS platform (virtualized CMTS) completely digitizes the hardware architecture, commanding an absolute monopoly in the virtualized core. The software platform now powers 150 customers globally, serving 45.7 million connected devices. For HFC cable operators, cOS replaces failure-prone analog headends with centralized software and simple, dumb optical nodes. By upgrading to the DOCSIS 4.0 standard via software, operators achieve multi-gigabit symmetric speeds over their already deployed and fully depreciated coaxial assets. But here is the critical expansion: Harmonic is now a fiber play as well. For xPON networks, Harmonic’s cloud-native virtual OLT solutions allow fiber providers to decentralize and virtualize their optical routing. Instead of building massive, expensive new hardware aggregation hubs to solve fiber congestion, operators use Harmonic's software to dynamically allocate and optimize bandwidth across existing fiber strands. Whether it is cable or fiber, Harmonic acts like DSP (Digital Signal Processing) did for telephone wires decades ago - it squeezes unprecedented life and efficiency out of an existing medium. Paying Harmonic for software is a pure financial play for infrastructure giants to extract maximum ROI from historical CAPEX. 2⃣Business Model and TAM Expansion Harmonic does not target your local neighborhood ISP. Their sales model exclusively targets large-scale Tier-1 infrastructure operators managing millions of subscribers. They monetize this via a highly predictable Hardware-Enabled Software hybrid model: ➡️The Initial Hook: They sell physical optical nodes and hardened appliances to the operators. The gross margins on these are lower due to hardware manufacturing and global chip costs. ➡️The High-Margin SaaS Core: To run those nodes, operators must purchase ongoing subscription licenses for the cOS software core, billed per active connected customer modem. This drives a highly recurring, high-margin revenue stream. ➡️The Addressable Market: The market for core virtualized cable infrastructure is scaling toward $1 Billion by 2030. Concurrently, by utilizing the cOS ecosystem to aggressively break into the pure fiber access market (Remote OLT), Harmonic is tapping into an additional global fiber TAM of over $2.5 Billion. As an agile new entrant in pure fiber, Harmonic already saw fiber products represent over 14% of its appliance and integration revenue over the past year. 3⃣Dissecting the Financial Reality The latest financial statements validate the immense operating leverage of this software-centric pivot: ➡️The Strategic Corporate Cleansing: On March 20, 2026, Harmonic formally executed a definitive Asset Purchase Agreement to sell its legacy, low-margin Video business to MediaKind for $145 million in cash. The transaction is on track to close during this current quarter (Q2 2026). The Video segment has already been moved to "discontinued operations," leaving HLIT as a pure-play broadband tech stock. ➡️Top-Line Surge: Pure Broadband revenue from continuing operations rose an impressive 43% year-over-year to $121.7 million (beating management’s own guidance range of $100M–$105M). ➡️Guidance Hiked & Backlog Up: Backed by accelerating commercial traction, management officially raised full-year broadband revenue guidance to $475M–$495M. Total broadband backlog and deferred revenue grew 87% YoY to a record $582.1 million, with 60% contractually obligated to convert to revenue within the next 12 months. ➡️De-risking Customer Concentration: Bears always point out HLIT's historical reliance on Comcast. However, the latest data reveals a massive structural shift: HLIT’s "Rest-of-Market" (non-top 2 clients) segment grew an explosive 78% YoY, now accounting for 42% of total revenue, driven directly by international Tier-1 rollouts - particularly across dense European footprints. ➡️The Margin Counter-Weight: To remain completely objective, watch the near-term margins. While Broadband non-GAAP gross margins were strong at 54% in Q1, full-year non-GAAP guidance sits at 50%–51.5% due to a temporary $6 million macro headwind from elevated global memory component costs (RAM/Flash) used in initial product hardware ramps. The Summary👇 Thanks to my background in the ICT sector, I can see that the modernizing wave hitting Europe is just the tip of the iceberg. When the Video divestiture closes this quarter, Harmonic will enter H2 as a debt-free, cash-rich pure-play broadband machine with absolute market dominance. As Wall Street permanently shifts its valuation models from low-multiple telecom hardware to high-multiple enterprise software metrics, a major structural re-rating is highly likely. I really consider to join to this party tomorrow.
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KawzInvests 🦑@KawzInvests

$HLIT (~$1.65B) controls more than 95% of the software that every major US cable company needs to upgrade their network for the AI era. Every time you stream, video call, or ask an AI app a question, that data runs through a cable line owned by Comcast, Charter, or Cox. Upstream traffic is now growing 21.7% a year and the old cable standard cannot keep up. The fix is called DOCSIS 4.0. It takes cable from 1 Gbps to 10 Gbps with much faster upload speeds. Every Tier-1 operator is being forced to upgrade or lose subscribers to fiber. There is only one company that sells the software to run those upgraded networks at scale. HLIT. Comcast, Charter, Cox, and Altice all run its cOS platform. 150 customers and 45.7M cable modems live on it today. Charter alone has committed $5.5B to this upgrade through 2027. Every single node they deploy requires an HLIT license. Q1 revenue grew 43% YoY and beat the top of guidance by 16%. Backlog hit $582M, up 87% YoY and 1.2x full year revenue guidance. The biggest cable upgrade cycle in history is already booked. The chips and the lasers get all the attention. The toll booth between AI demand and your living room is hiding in plain sight. Full deep dive in the comments. $HLIT $CMCSA $CHTR $CALX

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Finn Stockinger
Finn Stockinger@FinnStockinger·
@Berlinergy For me, it can only go up from here, and I feel like this is the perfect moment for it.
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Berlinergy
Berlinergy@Berlinergy·
@FinnStockinger Great post And likewise Don’t know where this could go but it feels early enough to step in :)
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Kevin Xu
Kevin Xu@kevinxu·
@FinnStockinger great take! sounds like the official closing of their video business line will act as a mini catalyst this quarter which is essentially within the next 30 days
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Gublo
Gublo@Gubloinvestor·
We are 40,000 guys 😀😀 🎉 🎯 i have 40,000 friends on here now.. 6000 alone in past 2 days.. We were 5000 In January. 2000 in December… Wow less than 5 month later having 35,000 more friends is unreal. 1 year of posting, over 12K post and lots of learning. Looking forward to 50,000 in next 2 months. Thank you all so so much..
Gublo@Gubloinvestor

Thankful for 5000 followers 💥🎉🥳 My friend of 12 years @captainkingjon sent me on X. we both were inspired by @amitisinvesting and he kept saying you know mid & small cap, go post on x. 8 months of posting and 5000 friends here is overwhelming. Thank u all so much 4 support

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Finn Stockinger
Finn Stockinger@FinnStockinger·
@ChairmansLedger I’m fully aware of that, bro - that’s exactly why $IREN makes up almost 50% of my portfolio. I’m just sitting tight and being patient. It’s one of those stocks I plan to hold for the long run.
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Finn Stockinger
Finn Stockinger@FinnStockinger·
@betaniaduranf Probably yes, but I haven’t bought it yet. To buy it, I’d need to sell something else first, and that will decide whether I become a HILT shareholder.
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Finn Stockinger
Finn Stockinger@FinnStockinger·
@ParadisLabs Haha, I know it’s a tough one - I’m not sure myself. I’d probably need to read a bit more about these companies, which is why I asked you. If I had to choose today, it would probably be $VECO. Maybe also $ADEA?
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Paradis Labs
Paradis Labs@ParadisLabs·
@FinnStockinger Oh it's tough! Maybe one of either $FORM, $ONTO / $AMKR. Any thoughts from you?
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Paradis Labs
Paradis Labs@ParadisLabs·
Western Memory Supply Chain: Companies that directly benefit from $SNDK, $MU, SK hynix & Samsung. $COHU [$2.36B] - Thermal handlers $ADEA [$3.12B] - Hybrid bonding $VECO [$3.81B] - Laser annealing $CAMT [$8.05B] - 3D metrology $FORM [$10.63B] - HBM test $ONTO [$13.64B] - Inspection $NVMI [$16.75B MC] - Optical/materials metrology $RMBS [$17.04B] - HBM4 controller $AMKR [$18.20B] - Advanced packaging $ENTG [$21.66B] - CMP slurries $MKSI [$22.57B] - CMP chemistry Just in case you were wondering on second order names. Of course a lot of pricing-in has happened YTD. And some names are huge like $AMAT, $CDNS and $LRCX. But given the memory supercycle, some of the smaller MC companies could definitely keep going as demand flows upstream. Any other names that should be included?
Paradis Labs tweet media
Paradis Labs@ParadisLabs

Memory Companies Forward P/E Estimates [May 2026]: Sandisk ( $SNDK ): ~22.9x [2026] ~7.4x [2027] Micron ( $MU ): ~12.9x [2026] ~7.5x [2027] SK hynix: ~6.9x [2026] ~5.5x [2027] Samsung Electronics: ~6.8x [2026] ~5.0x [2027] Data sources: Sandisk: Bernstein (1 May) Micron: BofA (13 May) SK Hynix & Samsung: JP Morgan (18 May) LTAs extending through to 2030 from hyperscalers have effectively transformed memory companies to have predictable SaaS-style revenue streams. A paradigm shift to reliable earnings where suppliers hold all the pricing power. Yet forward P/E multiples remain paradoxically compressed.

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