Use Supply Chain Data Before Buying a Stock: Test Your Assumptions
Published July 20, 2026
Altsets
Research by Altsets Research
Before buying Micron, test Nvidia purchasing, manufacturing capacity and repeated portfolio demand exposure. Tie each relationship to a thesis assumption.
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
- Micron’s mapped Nvidia customer share and ASML cost share identify separate demand and manufacturing assumptions in a Micron thesis.
- A thesis that depends on customer growth should specify supplier purchasing, rather than substitute the customer’s revenue headline.
- Each outside assumption should have a named evidence source and a condition that would change the revenue or capacity model.
Before buying a stock, use supply chain data to identify outside-company assumptions that could change the earnings case, delivery plan or portfolio exposure. The useful output is a thesis with named dependencies and evidence that could reject them, rather than a supplier checklist with no consequence for the investment model.
Consider a proposed Micron purchase based on AI-memory demand. The displayed Altsets estimates associate Nvidia with 17.62% of Micron revenue and ASML with 11.91% of Micron costs. Those observations turn a broad theme into separate questions: will Nvidia purchase the relevant Micron products, and can Micron deliver them using the required manufacturing capability? The revenue and procurement shares must remain separate because they do not measure the same financial base or operating mechanism.
The account context adds a third question. If the investor already owns SK hynix, another memory stock may add exposure to the same buyer rather than an independent demand source. Altsets displays Nvidia at 27.88% of SK hynix revenue, compared with 17.62% for Micron. The graph changes pre-purchase diligence when those connections alter a model assumption, an evidence request or the intended allocation. It does not determine fair value or supply a buy signal on its own.
Write a claim that a connected company could contradict
Suppose the proposed thesis is that stronger Nvidia purchasing will lift Micron sales without requiring a major manufacturing ramp. That statement contains a customer-demand assumption and a capacity assumption. Record each separately, including the evidence needed to support it and what would force the forecast to change.
For demand, the model needs purchases from Micron, product mix, pricing and revenue-recognition timing. A hypothetical 10% increase in Nvidia-linked Micron sales contributes 1.762 percentage points to Micron revenue growth if other sales are unchanged. A 10% increase in Nvidia revenue does not establish that purchasing shock. The Micron revenue sensitivity analysis develops the detailed calculation.
The distinction matters before an order is placed: a thesis supported only by the customer's growth headline may lack evidence for the actual supplier sales assumption. The relationship data identifies the route worth testing; it does not complete the test.
Give the delivery assumption its own evidence requirement
The ASML estimate identifies a meaningful equipment connection. It does not establish which tools are installed, whether they can support the proposed memory mix or whether a required process transition can finish on schedule. Those questions require manufacturing and project evidence.
Read Micron's filing for the company's own operating and capacity disclosures, then use the named supplier route to decide where further evidence is needed. The Micron supplier reference provides broader upstream context. Avoid translating the 11.91% cost share into a proportional revenue loss if equipment is delayed; the production bridge has not been measured by that percentage.
A purchasing delay challenges the demand assumption. A process transition that cannot be completed on time challenges the delivery assumption. Different evidence should therefore trigger different changes in the forecast rather than one general supply chain discount.
Measure what the proposed position adds to the account
If SK hynix is already owned, Micron adds another observed supplier route to Nvidia. The 27.88% and 17.62% customer shares help identify that repeated demand source, while the proposed holding weight determines its contribution to the selected account indicator.
A deliberate thematic allocation may still be consistent with the investor's thesis. The analytical error would be calling the demand exposure independent solely because the securities have different names or listings. Keep the weighted commercial indicator separate from direct Nvidia ownership and expected portfolio loss.
Use the shared-customer screen to calculate the selected account indicator. Its result helps assess whether the proposed position reinforces an existing assumption or adds a different business driver.
Finish with decisions attached to the unresolved evidence
A useful diligence note should identify the assumption, its named relationship, the supported measurement and the evidence still missing. For this example, the demand case concerns Nvidia purchases from Micron, the delivery case concerns the required manufacturing capability, and the account case concerns repeated Nvidia demand exposure.
If the evidence is unresolved, show the corresponding scenario or uncertainty in the model. If new evidence changes the assumption, update the affected sales, capacity, timing or allocation decision. A relationship map that changes none of those has not yet contributed to the purchase analysis.
The dataset overview describes the available relationship coverage, and Altsets methodology explains the estimates. Before a purchase, tie the selected observations to specific demand, delivery and account assumptions, with evidence that would force each to change.
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Cite this research
Altsets Research. "Use Supply Chain Data Before Buying a Stock: Test Your Assumptions." Published July 20, 2026. https://www.altsets.com/research/supply-chain-data-before-buying-stock