· Private foundation
Greentree Foundation
Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2020–2024.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2024
- Under $10k2 grants · $5k
- $50k–250k3 grants · $475k
| Recipient | Amount |
|---|---|
| MANHASSET COMMUNITY FUND | $200,000 |
| THE NEW YORK COMMUNITY TRUST LONG ISLAND OFFICE | $200,000 |
| FIDELITY INVESTMENTS CHARITABLE GIFT FUND | $75,000 |
| BANK STREET COLLEGE OF EDUCATION | $2,500 |
| MANHASSET-LAKEVILLE FIRE DEPARTMENT | $2,500 |
Do your dollars go where the need is?
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Dollar for dollar, your grants (FY20–24) land where the poverty rate runs at 7%, against an area that typically sits at 7%. 55% of your dollars go to grantees based in above-average-need neighborhoods. Your grants spread fairly evenly across need levels.
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.
US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.
7 grantees tracked through their own filings, 2017–2025.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.
Counted here: distinct organizations you funded across 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 7 of the 9 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
Go grantee by grantee — a decade per org, and how each moved after you funded them
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
- Who funds MANHASSET COMMUNITY FUND INC ↗
- Who funds FIDELITY INVESTMENTS CHARITABLE GIFT FUND ↗
- Who funds SARAH LAWRENCE COLLEGE ↗
- Who funds BANK STREET COLLEGE OF EDUCATION ↗
- Who funds MANHASSET-LAKEVILLE FIRE DEPARTMENT CORP ↗
- Who funds Seatuck Environmental Association Inc ↗
- Who funds ERASE RACISM INC ↗
Government reliance of your grantees
Every dot is one organization Greentree Foundation funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.
Government income is each org’s traced federal awards (USASpending — grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that your grant caused the public funding. Coverage is precision-first — a floor, not a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12–24 months.
Warm introductions · Powered by PlinthPlus
How do I get to Greentree Foundation?
Find your warmest path to Greentree 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.