Supply-Chain Research Library
How to Research Foreign Suppliers Without Confusing Companies and Securities
Relationship comparison
How should investors map a foreign supply-chain counterparty to listed securities when one company can have numeric tickers, multiple share classes, dual listings, depositary receipts, or no current listing?
Separate economic company identity from exchange-specific securities so foreign supplier relationships survive dual listings, depositary receipts, share classes, ticker differences, and delistings.
Why Relationship Size Alone Can Mislead Supply-Chain Research
Relationship comparison
Why can a smaller relationship be more concentrated than a much larger one?
Compare relationship size with supplier revenue percentage and customer cost percentage to separate absolute scale from relative economic exposure.
How to Build a Supply-Chain Catalyst Calendar for a Stock
Event exposure
How can investors use customer and supplier relationships to decide which external earnings dates, project milestones, product ramps, and regulatory events belong on a stock's catalyst calendar?
Turn economically relevant customer and supplier earnings dates, project milestones, product ramps, regulatory dates, and relationship updates into a stock-specific catalyst calendar.
Are Nvidia's Customer Relationships Concentrated? Quanta and Samsung Compared
Customer concentration
Do Nvidia's visible downstream customer relationships show material customer concentration?
Two quantified Nvidia customer relationships show 0.53% of Nvidia revenue tied to Quanta and 0.04% tied to Samsung, illustrating why famous customer names do not prove concentration.
LG Energy Solution and Tesla: Which Side Has More Relationship Concentration?
Dependency asymmetry
Which side of the LG Energy Solution and Tesla relationship is more economically concentrated?
Altsets estimates the LG Energy Solution to Tesla relationship at 19.03% of supplier revenue, 3.2B USD, and 3.41% of Tesla COGS, showing heavier supplier-side concentration.
How to Use Supply-Chain Data to Try to Disprove an Investment Thesis
Network path
How can investors use supplier, customer, and network evidence to search for facts that would falsify an investment thesis instead of only confirming it?
Use supplier, customer, and network evidence as a falsification tool by defining what relationship facts would weaken or contradict a stock thesis before searching for confirmation.
What Supply-Chain Data Adds Beyond Company Filings
Relationship comparison
What can a quantified supply-chain network reveal that company filings often leave anonymous, unconnected, or economically unranked?
Combine company-reported concentration and sourcing disclosures with named, directional relationship data to answer network questions that one-company-at-a-time filings leave unresolved.
How to Find Foreign Stocks Exposed to U.S. Mega-Cap Customers
Geographic exposure
How can investors use supply-chain relationships to discover foreign-listed companies whose revenue depends materially on large U.S. customers that may not appear in a domestic stock screen?
Work outward from large U.S. customers to discover foreign-listed suppliers with measurable revenue dependence, then validate the relationship and map the investable security separately.
What Do Nvidia's 279B USD Supply Commitments Mean for Memory Suppliers?
Demand read-through
What do Nvidia's 279B USD of supply and capacity commitments imply for economically exposed memory suppliers such as SK Hynix and Micron?
Nvidia's supply and capacity commitments reached 279B USD and are primarily tied to memory and manufacturing capacity, creating a forward research signal for economically exposed suppliers without revealing supplier-level allocation.
Do You Actually Need 20 Years of Supply-Chain History?
Relationship change
Which investment questions can be answered from the current supply-chain network, and when is historical point-in-time relationship data genuinely necessary?
Current relationship data is enough for many portfolio decisions, while historical snapshots become necessary when the question depends on durability, change, backtesting, or what was actually knowable at the time.
How to Use Supply-Chain Data With an LLM Without Hallucinating Exposure
Relationship comparison
How can investors use an LLM or MCP for supply-chain research while preserving relationship direction, missing metrics, dates, and evidence quality?
Ground LLM and MCP research in directional relationship metrics, explicit missing values, dates, source layers, and evidence labels so conversational analysis does not invent precision.
How to Separate Semiconductor Capex Exposure From Product Demand
Event exposure
How can investors separate semiconductor capex exposure from downstream product demand using the same supply-chain network?
Split a semiconductor network into upstream manufacturing suppliers and downstream customers so capex events and demand events are not treated as the same signal.
Nvidia Rubin Moves to HBM4: What Changes for SK Hynix and Micron?
Relationship change
What does Nvidia's transition to Vera Rubin and HBM4 change about the investment case for mapped memory suppliers SK Hynix and Micron?
Nvidia's Rubin architecture moves to HBM4 and publicly identifies Micron, SK Hynix, and Samsung in its memory ecosystem, creating a product-specific reason to revisit company-wide supplier exposure.
How Investors Can Use Supply-Chain Data Before Buying a Stock
Relationship comparison
What can quantified supplier and customer relationships reveal before buying an individual stock that sector, geography, and company financials may not show?
Use quantified supplier and customer relationships to add upstream dependency, downstream demand, substitution, geography, and contract checks to individual-stock due diligence.
KLA and Micron: Can a 693M Supplier Relationship Still Be Material?
Customer materiality
Can the KLA to Micron relationship be economically material even below 1B USD?
Altsets estimates the KLA to Micron relationship at 4.59% of KLA revenue, 693M USD, and 2.84% of Micron COGS, showing why absolute size and relative exposure differ.