Charles Liang
Profile Summary
Charles Liang is a U.S.-based technology billionaire, born in 1958, with an estimated net worth of ~$1.7 billion RTB. SEC records identify him as associated with Super Micro Computer, Inc. (SMCI) SEC EDGAR.
Business & SEC Activity
SEC EDGAR lists 188 insider filings for Liang connected to Super Micro Computer, Inc. (SMCI) SEC EDGAR. His recent filings are Form 4 reports, which disclose transactions in a company’s securities by corporate insiders; the listed filings span from August 28, 2025, through May 28, 2026 SEC EDGAR.
Philanthropy
ProPublica lists three foundations bearing the Liang name: the Liang Foundation in San Francisco, the Liang Family Foundation in Wilmington, Delaware, and Liang Family Foundation 061002 in Irvine, California ProPublica 990. In its 2023 filing, Liang Family Foundation 061002 reported $935,131 in assets, $158,458 in revenue, $91,277 in expenses, and $82,388 in grants paid ProPublica 990.
Political Activity
Federal election records show 10 contributions totaling $8,639 between April 14, 2000, and March 8, 2024 FEC. The party breakdown was $8,100 to Democratic recipients and $539 categorized as unknown; the largest listed recipients were Liccardo for Congress ($6,600), Dave Wu for Congress ($1,500), Trump Make America Great Again Committee ($500), and ActBlue ($39) FEC.
These donations are matched to this person by name only, so some may belong to a different person with the same name: FEC filings can include a donor's employer and city, but our matching does not check them against what we know about this person.
U.S. Presence
Philanthropy
Foundations are matched to a person by name, not by trustee records — so a same-surname family foundation can land here in error. Every entity below links to its full IRS filing; if one doesn’t belong, tell us at hello@skylarkcreations.com and we’ll pull it.
Political Contributions
By Party
Every party on file is listed here. The bars are rounded for display; unrounded they total exactly $8,639.
Top Recipients
Matched by name only. These donations are matched to this person by name only, so some may belong to a different person with the same name: FEC filings can include a donor's employer and city, but our matching does not check them against what we know about this person.
SEC Filings
Associated Companies
Entities appearing alongside this person in SEC full-text search — an association, not necessarily ownership or control. Follow each link to the primary SEC record to judge for yourself.
Recent Insider Filings
Score Breakdown
The giving score is a weighted average of 2 components. The formula is open and versioned — the weight percentages below show how much each component contributes to the final score.
Evidenced charitable giving — built on what they actually give each year, not parked assets. Dominated by generosity (annual giving relative to net worth — the share of your fortune you give), plus the absolute scale of that giving, plus a small nudge for signing the Giving Pledge (a commitment, not a realized action).
Data: ProPublica 990 charitable disbursements, net worth, The Giving Pledge registry
How much sourced public record we hold about this person — net worth, SEC filings, foundation 990s, news coverage, Wikidata. It measures our coverage, not how open the person is. Each further kind of record scores higher, up to eight. Political donation records matched to a person by name alone are not counted: they may belong to someone else with the same name. From October 7, 2026, our own AI-written summary and the profile photo are not counted either — neither is a public record — so grades that leaned on them moved down that day.
Data: SEC EDGAR, ProPublica 990s, GDELT / NewsAPI, Wikidata
Formula (v2): Giving score = 65% x Philanthropy + 35% x Data coverage
Scored on 10/16/2026 on a 0–100 scale. The score uses only the signals we have populated data for. Goal Impact, Controversy, and Community Approval are deferred until that data exists — Phase 1 goal adoption, controversy detection, and community votes respectively.
All data is sourced from public records. Each section links to its original source.