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Trade It Forward Foundation at a glance

· Private foundation

Trade It Forward Foundation

ADVANCING KNOWLEDGE, INSPIRING INNOVATON 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.

$81k
Granted FY2024still arriving
5
Grants FY2024still arriving
4
States reached
$30k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2023 to 2024.

Health$85kYouth Development$36kHuman Services$30kEmployment$10kPublic Safety & Disaster$10kPhilanthropy$10k
02FY2024 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k1 grant · $1k
  • $10k–50k4 grants · $80k
$10,000
Median grant
4
States reached
$30k
Total assets
Largest grants
RecipientAmount
ST JUDE CHILDREN'S RESEARCH HOSPITAL INC$30,000
HEDGE FUNDS CARE INC$30,000
MICHAEL ANN AND SAQUON BARKLEY HOPE FOUNDATION$10,000
THE JERSEY CITY FIRE FOUNDATION$10,000
OWN YOUR FUTURE OUTREACH INC$1,000
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Dollar for dollar, its grants (FY23–24) land where the poverty rate runs at 14%, against an area that typically sits at 14%. 81% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 14%OWN YOUR FUTURE OUTREACH INC: $1k → 17%ST JUDE CHILDREN'S RESEARCH HOSPITAL INC: $30k → 17%MICHAEL ANN AND SAQUON BARKLEY HOPE FOUNDATION: $10k → 17%THE JERSEY CITY FIRE FOUNDATION: $10k → 14%TOGETHER TOWARDS TOMORROW INC: $35k → 4%NAMI NYC- NATIONAL ALLIANCE ON MENTAL ILLNESS OF NYC: $30k → 17%HEDGE FUNDS CARE INC: $30k → 17%WALL STREET BOUND: $10k → 17%JACKS TOMORROW INC: $25k → 17%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its field

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.

1
Its Your Future Foundation

The organization provides college scholarships for children who survived cancer.

Education
2
Hope for the Youth Foundation
—
3
The J-4 Sports Foundation Inc

Help teens get to college

Human Services
4
Jpmorgan Chase Foundation
—
5
The Michael John Jacobus Foundation Inc
—
6
HOPE4YOUTH Cancer Foundation
Health
7
The Jmc Family Foundation
Philanthropy
8
Jacob Jack May Foundation
—
9
Finding Autistic Solutions for Tomorrow

Assistance to families effected by autis

Health
10
Pcu Mjcnaa-Usa Foundation
Philanthropy
11
Jmc Innovation Scholars Inc
Human Services
12
The Nick Bales Btr Foundation
Philanthropy
How this is measured
The grantee most central to the portfolio’s shape is St Jude Children's Research Hospital Inc; the most unlike its peers is Michael Ann & Saquon Barkley Hope Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
04the grantee network

8 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. 8 of the 9 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.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
8/8
Grantees still filing
4/8
Grew since first funded

Where the money sits, by cause and then by grantee

TOGETHER TOWARDS TOMORROW: $35,000 · OtherTOGETHER TOWARDS TOMORROWNATIONAL ALLIANCE ON MENTAL ILLNESS OF NEW YORK CITY INC: $30,000 · OtherNATIONAL ALLIANCE ON MENTAL ILLNESS OF N…ST JUDE CHILDREN'S RESEARCH HOSPITAL INC: $30,000 · HealthST JUDE CHILDREN'S RESEARCH HOSPIT…JACKS TOMORROW INC: $25,000 · HealthJACKS TOMORROW INCHEDGE FUNDS CARE INC: $30,000 · PhilanthropyHEDGE FUNDS CARE INCMICHAEL ANN & SAQUON BARKLEY HOPE FOUNDATION: $10,000 · PhilanthropyMICHAEL ANN & SAQUON BARKLEY HO…JERSEY CITY FIRE FOUNDATION: $10,000 · PhilanthropyJERSEY CITY FIRE FOUNDATIONWALL STREET BOUND INC: $10,000 · EmploymentOWN YOUR FUTURE OUTREACH INC: $1,000 · Youth Development
Other$65,000Health$55,000Philanthropy$50,000Employment$10,000Youth Development$1,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetHEDGE FUNDS CARE INC: $30,000 over 1y, 1.8% of budgetST JUDE CHILDREN'S RESEARCH HOSPITAL INC: $30,000 over 1y, 0.0% of budgetNATIONAL ALLIANCE ON MENTAL ILLNESS OF NEW YORK CITY INC: $30,000 over 1y, 0.8% of budgetJACKS TOMORROW INC: $25,000 over 1y, 7.1% of budgetWALL STREET BOUND INC: $10,000 over 1y, 1.9% of budgetMICHAEL ANN & SAQUON BARKLEY HOPE FOUNDATION: $10,000 over 1y, 6.0% of budgetJERSEY CITY FIRE FOUNDATION: $10,000 over 1y, 8.7% of budgetOWN YOUR FUTURE OUTREACH INC: $1,000 over 1y, 0.1% of budget
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.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

Jewish Communal FundNational Philanthropi…American Online Givin…Donor Advised Charita…Fidelity Investments …Amazonsmile Foundation
Jewish Communal FundNY12× affinity4 shared granteesties to 5 of 5Hover any node to trace its alignments.Compare side by side →

Open a dossier: Jewish Communal Fund · National Philanthropic Trust · American Online Giving Foundation Inc · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Trade It Forward Foundation funds: left to right is the share of its income from government, bottom to top the share from Trade It Forward Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%1%3%6%10%funder's share of their income ↑0%5%10%15%20%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–20%
    typical government reliance, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 9 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

    Generated from the IRS Form 990-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Trade It Forward’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home