Tim Sweeney
American game developer (born 1970)
Source: Wikidata — retrieved 10/11/2026 (wikidata)Dispute
Profile Summary
A net worth stated in this summary may be out of date.
Tim Sweeney is an American game developer born in 1970, with an estimated net worth of ~$5.1B Wikidata.
Philanthropy
ProPublica 990 records list three organizations with Sweeney in their names: the Sweeney Family Foundation, the Sweeney Charitable Foundation, and the Sweeney Foundation ProPublica 990. The records report combined assets of $1,300,847 and $160,145 in grants paid; the Sweeney Family Foundation reported $976,606 in assets and $108,145 in grants paid in 2023, while the Sweeney Charitable Foundation reported $324,241 in assets and $52,000 in grants paid in 2023 ProPublica 990. The Sweeney Foundation record reported $0 assets and $0 grants paid, with no tax year listed ProPublica 990.
Political Activity
FEC records contain at least 100 federal contributions in the most recent sampled records on file, totaling $14,491.43; these figures cover only the sampled 100 records, not the full contribution history FEC. Of that sample, $13,491.43 was classified as Unknown party and $1,000 as Democratic FEC. The largest listed recipients in the sample were Liberty Mutual Insurance Company PAC and American Property Casualty Insurance Association PAC at $5,000 each, followed by Lori Trahan for Congress Committee at $1,000 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
These figures cover the 100 most recent of 1,870 federal contributions on file, not the full record. The total, party split, top recipients and dates below are all computed over that sample, so each is a floor rather than a complete figure.
By Party (in the sample)
Every party in this sample is listed here. The bars are rounded for display; unrounded they total exactly $14,491.43.
Top Recipients (in the sample)
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.
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. View on Wikidata