· Private foundation
Marques & Chen Foundation
Its FY2026 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.
What it funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year, FY2023 to 2025.
Where the money goes
Grants by size, and the largest recipients.
By grant size · FY2026
- Under $10k4 grants · $8k
- $10k–50k2 grants · $35k
| Recipient | Amount |
|---|---|
| Sustainable Communities AI Foundation | $25,000 |
| Xidian University | $10,000 |
| Fundacion Privada Mona | $5,000 |
| California State Parks Foundation | $1,000 |
| Give2asia | $1,000 |
| Girls on the Run of Silicon Valley Incorporated | $600 |
Does the money reach high-need areas?
Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.
US giving: 48% of grant dollars ($14k). The need read here covers only this US portion; the 52% that went abroad ($15k) is mapped below.
Dollar for dollar, its grants (FY23–26) land where the poverty rate runs at 11%, against an area that typically sits at 7%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.
How this is measured
Beyond the US: 52% of all-years giving ($15k)
1 country, by the recipient’s country on the filing.
How this is measured
5 grantees tracked through their own filings, 2017–2026.
Each grant beside the grantee’s revenue from every source, year by year.
How this is measured
Counted here: distinct organizations funded across 2017 to 2026, not grant rows in a single year, so this will not match the grant count on the cover. 5 of the 13 grantees resolved in that span have returns of their own we could reconcile.
Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.
Where the money sits, by cause and then by grantee
Each grantee by its size and the funder’s share of it; top left is load-bearing
Grantee by grantee: a decade per organization, before and after funding
A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.
How much its grantees rely on government
Each dot is one organization Marques & Chen Foundation funds: left to right is the share of its income from government, bottom to top the share from Marques & Chen Foundation. Bigger dots raise more.
How this is measured
Warm introductions · Powered by PlinthPlus
How do I get to Marques & Chen Foundation?
Find your warmest path to Marques & Chen Foundation through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.
Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.
Play a game based on Marques & Chen’s filings →