Scrutica
Where YTL Corporation Bhd. sits in the compute supply chain — geographic revenue split, segment mix, capex / FCF / buyback history, and industry placement — sourced from licensed-database extracts and SEC EDGAR, joined to the supply-chain graph through the industry classification.
Dollar flows are annual figures from the fiscal year labelled on the row — SEC segment and >10%-customer disclosures, re-derived company disclosures, or a licensed supply-chain database; per-row source and authority tier on hover. A row without a year means the source does not state the period. Disclosures older than 5 years are tagged historical and ordered below current rows — they are kept as evidence of what was disclosed then, not as evidence of a present relationship, and the counterparty may since have been acquired or dissolved. The 3-month Pearson r comes from a licensed supply-chain database; correlation is a coupling proxy — shared market sensitivity, not a causal channel. Sole-source edges are flagged inline.
The substrates above join to the platform's analytical surfaces. Each link carries YTL Corporation Bhd.'s own numbers into the tool that acts on them.
6 upstream · 2 downstream — the interactive graph opens with YTL Corporation Bhd. selected. The cascade simulator propagates seed disruptions across this same edge set, weighted by the curator's substitutability assessment.
Facilities, sovereign-AI programs, export-control posture, and the announced-versus-deployed reality gap for the country.
Licensed sources do reach YTL Corporation Bhd.: the supply relationships above are drawn from a licensed supply-chain database. What is missing is one specific feed — the corporate-financials extract behind this profile (geographic revenue, segment mix, capital allocation), which covers a loaded set of listed companies that YTL Corporation Bhd. is not among; the gap is in coverage, not in the record. The public industry classification (SIC, NAICS) is absent as well. Coverage rules in the methodology.
Per data-quality principle §7 (CONTRADICTION SURFACING): when primary sources disagree under different methodologies, both are shown with as-of dates rather than picking a silent winner.
capital_allocation_anomalylicensed use-of-cash 2026-05-14 for YTL Corporation Bhd. records a 3.4× capex acceleration from MYR 1,937M in FY2022 (ending Jun '22) to MYR 6,545M in FY2025 (ending Jun '25; approximately USD 1.47B at the conversion rate of 1 USD = 4.45 MYR used by Scrutica's use-of-cash parser). Free cash flow turned negative (MYR -419M) in FY2025 for the first time since FY2022. The acceleration window aligns with the December 2023 announcement of the $4.3B Johor 500 MW Green Data Center (completed October 2025 per Culper Research 2026-05-13). licensed geographic-revenue analysis for YTL Power International (6742-MY) records Malaysia revenue +243.6% Y/Y at LTM Jun '25 — consistent with early data-center revenue recognition as the Johor facility ramps. The flag exists not to assert misconduct but to surface the structural pattern: YTL is balance-sheet-financing a major AI-data-center buildout, and the corresponding revenue recognition is concentrated in the most recent fiscal year of disclosure.
Per DQP §3 — capex acceleration and FCF inversion are Tier-1 primary disclosures. The flag surfaces the structural pattern so researchers reading YTL's capital-allocation history can see the data-center buildout investment dwarfing pre-2024 operating cash flow.