Note: Sources come from https://chilterncap.substack.com/p/pva-tepla-scanning-acoustic-microscopy.
I am long PVA TePla because I think its semiconductor-inspection business can become substantially larger and more profitable than the current group earnings suggest. The complication is that “can become” and “currently is” are different things, and the company’s latest results demonstrate the distinction quite effectively.
PVA is a German equipment manufacturer, traded as TPE on Xetra / TPE.DE. It has two businesses: Metrology, which measures and inspects materials and semiconductor components, and Material Solutions, which supplies equipment for producing and processing advanced materials.
Our thesis is that growth in semiconductor inspection can change the group’s earnings mix, while a recovery in materials equipment can remove an existing drag. The additional short-interest angle is interesting, but it comes second. A share register is not a business model.
What does PVA actually sell?
Start with the inspection business.
Advanced semiconductor packaging increasingly involves connecting and stacking components rather than putting everything on one piece of silicon. High-bandwidth memory, or HBM, stacks memory dies vertically. More elaborate packages bring together logic, memory and connecting structures.
That creates a manufacturing problem: the components can be individually good while the assembled structure contains a defect. A void, crack or separation between bonded layers can compromise the finished product. Looking at its surface does not necessarily tell you what is happening underneath.
PVA’s scanning acoustic microscopy, or SAM, uses high-frequency ultrasound to inspect internal structures without cutting the component apart. It sends sound into the sample and interprets the returning signals. Changes in the material—including air gaps and delamination—produce different reflections. The result is an image of structures that ordinary surface inspection cannot reveal.
The economic proposition is straightforward. The more value a manufacturer has accumulated in a complex package, the more expensive it becomes to discover a manufacturing defect late. Inspection equipment helps identify problems and improve the process before more value is committed.
PVA does not need to design the winning AI processor. It needs to sell useful equipment to the people trying to manufacture advanced semiconductor products reliably.
This is a less glamorous role than designing the processor, but customers generally prefer their expensive chips without hidden manufacturing defects.
Why would this become a better business?
There are two separate arguments, and it is important not to merge them.
The first is market growth. More advanced packaging and HBM production can create more inspection work.
The second is PVA’s ability to capture that work profitably. That depends on customer qualifications, equipment performance, production capacity, service and competition—not merely on whether AI spending increases.
A production customer needs more than a microscope that produces an impressive image. It needs sufficient resolution at an acceptable inspection speed, repeatable results, automated handling and dependable support. Our investment case depends on PVA earning and retaining those production roles.
Once equipment is embedded in a manufacturing process, the commercial opportunity can extend beyond the initial sale to servicing, spare parts and upgrades. PVA offers those lifecycle services, but that does not make the whole business recurring revenue. It remains an equipment supplier exposed to customer investment cycles. PVA’s products and service offering.
There is also an important correction to the more enthusiastic version of the thesis: more layers do not automatically mean proportionately more machines.
PVA