What Product Teardowns Miss About Supplier Dependence
Published September 16, 2026
Altsets
Research by Altsets Research
Product teardowns identify components in one device; supply chain data measures company-level dependence across the broader business.
Dataset reference:Altsets supply chain relationships dataset covers 115k+ entities, 550k+ relationships, and history since 2006 across the full dataset; individual analyses use a narrower scope.
Key findings
- TechInsights identifies SK Hynix memory in the iPhone 17e, providing product-level evidence that the supplier participates in that Apple device.
- The supplied Altsets data adds company-level economic context by showing Apple at 8.75% of SK Hynix revenue and Nvidia at 27.88%, demonstrating why component presence and total customer importance are different conclusions.
Supply Chain Data Product: What can company-level supply chain relationship data reveal that a product teardown and bill-of-materials analysis cannot establish on their own?
A product teardown tells you what is inside one product. Supply chain relationship data tells you which companies depend economically on one another across products, customers, and time. A teardown can identify a component supplier with exceptional technical precision, but it does not automatically tell you how important that customer is to the supplier's total business or how much the supplier matters to the customer's broader cost structure.
The teardown starts from the device
TechInsights' iPhone 17e teardown identifies SK Hynix memory inside the device, including LPDDR5X DRAM and NAND storage, and estimates which components drive the bill of materials. That is exactly the kind of question a teardown is built to answer: which component is physically present, who appears to have supplied it, and what portion of the device cost comes from different subsystems.
For an investor, that evidence is valuable because it can validate product participation. If SK Hynix memory is physically identified inside an Apple device, the supplier is not merely associated with the smartphone theme. There is concrete product-level evidence that its components are present.
Altsets answers the company-level economic question that comes next
Altsets shows Apple representing 8.75% of SK Hynix revenue and the SK Hynix relationship representing 1.76% of Apple's cost base. Those percentages answer a different question from the teardown. They place the commercial relationship inside the economics of both companies rather than inside one phone.
That difference matters immediately. A teardown can show that SK Hynix supplied memory to one Apple model. It does not by itself establish that Apple represents 8.75% of SK Hynix revenue across the company relationship, nor does it tell the investor how the relationship compares with SK Hynix's Nvidia exposure. The Altsets data shows Nvidia at 27.88% of SK Hynix revenue, making the displayed Nvidia relationship much larger from the supplier's perspective than the Apple relationship.
The two datasets therefore complement one another. The teardown can validate product presence. The relationship graph can rank the economic importance of the customer.
One product can also mislead investors about the full commercial relationship
A supplier can appear in one product teardown and disappear from the next because sourcing changes by model, geography, generation, or component configuration. That does not necessarily mean the broader company relationship ended. The supplier may serve other products, facilities, or business lines that the teardown does not cover.
The reverse problem also exists. A company can appear in a teardown but represent only a small portion of the supplier's overall economics. Product presence proves participation, not company-level materiality.
A historical relationship graph is useful because it can preserve the broader commercial edge across periods while teardowns provide product-specific checkpoints. When both sources agree, the investor has evidence at two different levels: component presence and company-level economic dependence.
Teardowns are stronger on product detail while relationship data is stronger on portfolio context
If the research question is whether an iPhone contains SK Hynix memory, the teardown is the better tool. If the question is whether Apple or Nvidia is the more important customer to SK Hynix, the Altsets percentages answer directly.
That distinction also matters for portfolio analysis. A teardown is usually centered on one device. A dependency graph can connect the same supplier to several customers and can reveal when multiple holdings depend on the same outside company. The product-level tool and company-level tool solve different research problems.
A component win and an economic dependency are not the same thing
A teardown establishes what is inside a product. Supply chain data establishes how the companies are economically connected and how important that connection appears. For SK Hynix, the displayed relationships show Apple as a meaningful customer at 8.75% of revenue while Nvidia is materially larger at 27.88%. That conclusion cannot be recovered from a single device teardown alone.
The SK Hynix Nvidia-versus-Apple comparison shows the economic ranking directly.
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Cite this research
Altsets Research. "What Product Teardowns Miss About Supplier Dependence." Published September 16, 2026. https://www.altsets.com/research/supply-chain-data-vs-product-teardowns