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Team Cozzi Foundation at a glanceAlso receives grants: funding profile →

· Private foundation

Team Cozzi 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.

$81k
Granted FY2024still arriving
8
Grants FY2024still arriving
4
States reached
$44k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its 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, FY2019 to 2024.

Health$558kScience & Tech$10kReligion$6kPhilanthropy$1k
02FY2024 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k6 grants · $8k
  • $10k–50k2 grants · $73k
$2,200
Median grant
4
States reached
$72k
Total assets
Largest grants
RecipientAmount
SEATTLE CHILDREN'S HOSPITAL FOUNDATION$44,000
TGEN FOUNDATION$29,200
LIVE GRAY'S WAY FOUNDATION$2,500
Individual grant recipient$2,200
Individual grant recipient$1,000
SUMNER HIGH SCHOOL BENEFIT NIGHT$1,000
LIVE GRAY'S WAY FOUNDATION$926
TOUGH2GETHER FOUNDATION$500
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:

Its human-services grants (FY22–23, $15k) land where the poverty rate runs at 14%, against an area that typically sits at 8%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%CHAD TOUGH DEFEAT DIPG FOUNDATION: $5k → 14%CHADTOUGH DEFEAT DIPG FOUNDATION: $5k → 14%CHAD TOUGH DEFEAT DIPG FOUNDATION: $5k → 14%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.

Which US states its grants reach

WA
IL
MI
MA
OH
NJ
CA
MD
AZ
KS
TN
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 grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

78%of every dollar goes to organizations it has funded before.
$446k · 10 repeat orgs$129k to everyone else

Grantees it renews have grown median revenue +37% since the first grant, against -7% for those funded once.

10 repeat relationships: 4 still active in FY2024, 6 since wound down; 3 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

10
18

Total granted

$446k
$122k

Median revenue growth · since first grant

+37%
-7%

Still filing today

40%
11%

New vs renewed · share of each year

In FY2024, 92% of grant dollars renewed an existing relationship; $7k went to new ones.

50%100%’19’20’21’22’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’19’20’21’22’23’24
HealthHuman ServicesOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • T
    TGEN
    3× · 2019–2021 · $138k
  • SC
    Seattle Children's Foundation
    2× · 2023–2024 · $94k · revenue +83%
  • IG
    Individual grant recipient
    2× · 2019–2020 · $86k

Funded once

  • SC
    SEATTLE CHILDRENS HOSPITAL
    one grant, 2022 · $50k
  • IG
    Individual grant recipient
    one grant, 2021 · $10k
  • DM
    DRAGON MASTERS FOUNDATION
    one grant, 2020 · $10k
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
04the grantee network

7 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. 7 of the 31 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)
0
Early backer (in before they grew)
6/7
Grantees still filing
4/7
Grew since first funded

Where the money sits, by cause and then by grantee

TGEN: $137,500 · OtherTGENSeattle Children's Foundation: $94,000 · OtherSeattle Children's FoundationIndividual grant recipient: $86,000 · OtherIndividual grant recipientSEATTLE CHILDRENS HOSPITAL: $50,000 · OtherSEATTLE CHILDRENS HOSPITALTGEN FOUNDATION: $36,200 · OtherTGEN FOUNDATION+21 more: $86,430 · Other+21 moreTOUGH2GETHER FOUNDATION: $38,000 · HealthTOUGH2GETHER …ARMS WIDE OPEN CHILDHOOD CANCER FOUNDATION: $21,500 · HealthARMS WIDE OPE…THE TRANSLATIONAL GENOMICS RESEARCH INSTITUTE FOUNDATION: $8,550 · HealthTHE TRANSLATI…+1 more: $1,030 · HealthCHADTOUGH DEFEAT DIPG FOUNDATION: $15,150 · Human Services
Other$490,130Health$69,080Human Services$15,150

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 budgetSeattle Children's Foundation: $94,000 over 2y, 0.0% of budgetTOUGH2GETHER FOUNDATION: $38,000 over 3y, 1.4% of budgetARMS WIDE OPEN CHILDHOOD CANCER FOUNDATION: $21,500 over 2y, 0.9% of budgetCHADTOUGH DEFEAT DIPG FOUNDATION: $15,150 over 2y, 0.1% of budgetTHE TRANSLATIONAL GENOMICS RESEARCH INSTITUTE FOUNDATION: $8,550 over 1y, 0.1% of budgetThe Nightbirde Foundation: $1,030 over 1y, 0.4% 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.

  • Who funds Seattle Children's Foundation ↗
  • Who funds TOUGH2GETHER FOUNDATION ↗
  • Who funds ARMS WIDE OPEN CHILDHOOD CANCER FOUNDATION ↗
  • Who funds CHADTOUGH DEFEAT DIPG FOUNDATION ↗
  • Who funds THE TRANSLATIONAL GENOMICS RESEARCH INSTITUTE FOUNDATION ↗
  • Who funds The Nightbirde Foundation ↗
  • Who funds Bradys Bunch Lacrosse ↗

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 set of overlaps that mostly run through this funder rather than between each other.

Donor Advised Charita…
Donor Advised Charitable Giving IncCO6.5× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Donor Advised Charitable Giving Inc

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 Team Cozzi Foundation funds: left to right is the share of its income from government, bottom to top the share from Team Cozzi Foundation. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 10%0%1%3%5%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–24
    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 31 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 Team Cozzi’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