Taiwan AI Chain — Monthly Revenue Brief
Taiwan AI Supply-Chain Monthly Revenue Analysis
Tracks 50 Taiwan-listed and OTC companies across the AI compute and server supply chain using official TWSE and TPEx monthly revenue disclosures.
Coverage
- Servers and systems: 11
- Semiconductors and ASIC: 9
- Memory and storage: 5
- PCB, materials, and interconnect: 11
- Power: 1
- Thermal and mechanical: 10
- Networking: 3
Reported for Each Company
- Official monthly revenue in NT$ thousand and a labelled conversion
- Year-on-year growth
- Historical percentile within the company’s own record
- Actual baseline period and number of valid months
- Effective sample size and reliability
- The issuer’s original filed statement
- Reporting period and dataset snapshot date
- Direct TWSE or TPEx source URL
Historical Baseline
Historical coverage begins in January 2015, or at the company’s first valid year-on-year observation after that date.
Because listing and filing histories differ, each company is shown with its own:
- Baseline start and end period
- Number of valid months
- Effective sample size
- Reliability label
The service does not assume that all 50 companies have identical history lengths.
Language and Market Routing
- Traditional Chinese questions default to a Taiwan-market perspective.
- English questions default to a bounded US-equity and US-market investor perspective.
- An explicitly requested market or company overrides the language default.
Taiwan filings are used as supply-chain evidence only. A supplier’s monthly result is not presented as proof of a US customer’s revenue, shipments, margins, or future performance.
Data and Analysis Rules
- Every figure includes its reporting period, snapshot date, and official source.
- Revenue is shown first in the official NT$-thousand field, followed by a labelled conversion.
- Issuer explanations remain in their original filed wording.
- Missing information is identified and is never estimated or carried forward.
- A latest-period result is never substituted for a requested historical month.
- An effective sample size below 30 is treated as descriptive only, without trend or forecast language.
Disclaimer
This service provides descriptive analysis of public filings only. It does not forecast revenue or share prices and does not provide price targets, entry or exit levels, position sizing, or trading recommendations.
