A $800M Japanese company holds the patents that every leading-edge AI chip on Earth depends on.
Samsung tried to source around them. Samsung lost in court.
Here it is:
The numbers:
Operating margins: 24-26%
Gross margins: 45-50%
FY2025 revenue: +68% YoY
Operating profit: +170%
Equity ratio: 80%+, low debt.
Some models point to a softer FY2027. That looks tied to temporary raw material costs and JV pricing. Nothing structural.
Risks: input costs, China memory demand, hafnium patent expires 2026.
But switching mid-process is a nightmare. The edge holds.
Everyone watches GPUs.
The real choke point is the molecular layer.
Tri Chemical is one of the most under-the-radar names in AI right now.
This is why we do this, and we’re just getting started.
$MU, $SNDK, and $AMD are already too big. Most of the money has been made.
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Trump is meeting with US AI executives next week about direct government equity stakes in their companies.
This is going to move markets.
These 10 companies could be the ones they pick:
AMAT Applied Materials and KLAC KLA Corporation.
The two pillars of US semiconductor equipment and process control.
Their tools enable the entire US AI chip renaissance.
Government stakes here cement America's lead in the most critical layer of the chip stack.
The actual US AI infrastructure stack runs on these 10 companies.
If the Trump administration is serious about beating China in AI, these are the names that get the checks.
Not financial advice.
~$6B+ in annual free cash flow. ROE around 25%. Solid balance sheet.
Aggressive buybacks shrinking the share count while the core business compounds.
Network-effect moat. 439M users locked in. Switching costs are massive.
Partnerships with OpenAI, Google, Microsoft.
Multiple valuation models put fair value somewhere in the $90 to $125 range. Well above current levels.
PYPL has the users, the cash flow, the moat, the partnerships, and the cheapest valuation in years.
The market is wrong here.
There is one US stock most investors have never heard of that sits inside every major AI chip supply chain.
Nvidia, AMD, Google, Samsung. None of their silicon ships without this category of hardware.
Here it is:
Q2 FY2026 just reported.
Revenue ~$210M, flat near term from temporary design delays.
But high-end IC masks (the AI side) keep hitting records.
$330M CapEx this year. Biggest ever. New US and Korea facilities for next-gen AI nodes.
Strong cash. Low debt.
Wall Street barely talks about PLAB. Retail even less.
Everyone chases AI software stories. Meanwhile this is the company that has to exist for any AI chip to ship.
One of the most overlooked pieces of the entire AI hardware stack.
Not financial advice.
AMPG is up 35% since we covered it two days ago.
It was one of our worst-performing posts. People only care about names already up 5,000%.
Not us. We spend hours finding great companies with real moats that nobody else is covering.
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Since this post:
MU: +51%
ORCL: +29%
AMD: +28%
ASML: +22%
SMH: +18%
TSM: +15%
INTC: +5%
NVDA: flat
AVGO: flat
Avg return: 18.7%
This is exactly why we do what we do.
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