· Private foundation
Sabrina Kay Charitable Foundation
Its FY2018 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.
Read this first · the figures below need context
81% of Sabrina Kay Charitable Foundation’s FY2018 grant dollars went to National Philanthropic Trust, not to grantees.
Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2018 names 7 organizations directly, so a portfolio cannot be read from it.
Organizations named directly on the return
Amber years are those where most dollars went to a sponsor.
What it funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2018.
Where the money goes
Grants by size, and the largest recipients.
By grant size · FY2018
- Under $10k7 grants · $11k
- $10k–50k4 grants · $50k
- $50k–250k1 grant · $151k
| Recipient | Amount |
|---|---|
| NATIONAL PHILANTHROPIC TRUST | $151,324 |
| NETWORK FOR GOOD | $20,000 |
| UCLA SOUND BODY MIND FOUNDATION | $10,000 |
| PETERSEN AUTOMOTIVE MUSEUM | $10,000 |
| ASIA SOCIETY SOUTHERN CALIFORNIA | $10,000 |
| INTERNATIONAL MEDICAL CORPS | $5,000 |
| LOS ANGELES POLICE FOUNDATION | $2,000 |
| MISCELLANEOUS | $1,000 |
| ALLIANCE FRANCAISE | $1,000 |
| FOSTER CARE COUNTS | $1,000 |
| LA84 FOUNDATION | $500 |
| AFTER SCHOOL ALL-STARS | $250 |
Does the money reach high-need areas?
Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.
Its human-services grants (FY18–18, $2k) land where the poverty rate runs at 14%, against an area that typically sits at 11%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.
How this is measured
How this is measured
Closest unfunded matches
The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.
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How this is measured
9 grantees tracked through their own filings, 2017–2025.
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 2025, not grant rows in a single year, so this will not match the grant count on the cover. 9 of the 14 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.
- Who funds NATIONAL PHILANTHROPIC TRUST ↗
- Who funds NETWORK FOR GOOD ↗
- Who funds AFTER-SCHOOL ALL-STARS ↗
- Who funds PETERSEN AUTOMOTIVE MUSEUM FOUNDATION ↗
- Who funds INTERNATIONAL MEDICAL CORPS ↗
- Who funds LOS ANGELES POLICE FOUNDATION ↗
- Who funds FOSTER CARE COUNTS ↗
- Who funds ALLIANCE FRANCAISE ↗
- Who funds LA84 FOUNDATION ↗
How much its grantees rely on government
Each dot is one organization Sabrina Kay Charitable Foundation funds: left to right is the share of its income from government, bottom to top the share from Sabrina Kay Charitable Foundation. Bigger dots raise more.
How this is measured
Warm introductions · Powered by PlinthPlus
How do I get to Sabrina Kay Charitable Foundation?
Find your warmest path to Sabrina Kay Charitable 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.
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