How much did Car Donation Foundation grant in FY2024?

Health$49MPhilanthropy$16MHuman Services$11MPublic Benefit$5.5MHousing & Shelter$3.3MCommunity Improvement$3.2MEducation$2.7MAnimals$2.1MCivil Rights$395kOther$36M

02FY2024 · 91 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

$10k–50k24 grants · $738k
$50k–250k40 grants · $4.6M
$250k+27 grants · $11M

$104,967

Median grant

States reached

$11M

Total assets

Largest grants
Recipient	Amount
MAKE A WISH FOUNDATION GREATER BAY AREA	$605,027
OSCAR MIKE FOUNDATION	$451,207
VETERAN'S AIRLIFT COMMAND FOUNDATION	$451,207
AMERICA'S WARRIOR PARTNERSHIP	$451,207
WEAR BLUE	$451,207
MILITARY SPOUSE ADVOCACY NETWORK	$445,706
BOB WOODRUFF FAMILY FOUNDATION	$445,706
INTREPID FALLEN HEROES FUND	$445,706
INJURED MARINE SEMPER FI FUND	$445,706
K9S FOR WARRIORS	$445,706
TRAGEDY ASSISTANCE FOR SURVIVORS	$445,706
OPERATION GRATITUDE	$445,706
GARY SINISE FOUNDATION	$432,324
HOPE FOR THE WARRIORS	$424,608
TEAM RED WHITE & BLUE INC	$424,608

02The need

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.

show:

Your human-services grants (FY17–24, $11.2M) land where the poverty rate runs at 11%, against an area that typically sits at 9%. 96% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

grant to an above-average-need area below average· circle size = grant amount

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.

Which US states your grants reach

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.

03Your edge

repeat funding

Who you back again

Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.

100%of every dollar goes to organizations you’ve funded before.

$129M · 92 repeat orgs$627k to everyone else

92 repeat relationships — 85 still active in FY2024, 7 since wound down; 4 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

Total granted

$129M

$179k

Median revenue growth · since first grant

+33%

+56%

Still filing today

91%

93%

New vs renewed · share of each year

In FY2024, 97% of grant dollars renewed an existing relationship; $448k went to new ones.

RenewedFirst-time

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

HealthPhilanthropyHuman ServicesPublic BenefitAnimalsEducationOther

First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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

MF
MAKE-A-WISH FOUNDATION OF GREATER BAY AREA
8× · 2017–2024 · $6.6M · revenue +23%
MAKE-A-WISH FOUNDATION OF MASSACHUSETTS AND RHODE ISLAND INC
8× · 2017–2024 · $4.7M · revenue +11%
BW
BOB WOODRUFF FAMILY FOUNDATION INC
8× · 2017–2024 · $3.7M · revenue +236%

Funded once

JF
JEWISH FAMILY AND CHILDREN'S SERVICE OF MINNEAPOLISgraduated
one grant, 2020 · $25k · revenue +47%
MW
Mt Washington Pediatric Foundation Incgraduated
one grant, 2017 · $23k · revenue +56%
SH
STAMFORD HOSPITAL HEALTH FOUNDATION INC
one grant, 2017 · $15k

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

04Your field

The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.

Make-a-Wish Foundation of Montana Inc

The make-a-wish foundation of montana creates life-changing wishes for children with critical illnesses.

—

Make-a-Wish Northeastern & Central California

The make-a-wish foundation of northeastern & central california creates life-changing wishes for children with critical illnesses.

Health

Make-a-Wish Foundation of Puerto Rico

Together, we create life-changing wishes for children with critical illnesses.

Philanthropy

Make-a-Wish Foundation of Maine

The make-a-wish foundation of maine creates life-changing wishes for children with critical illnesses.

Health

Make-a-Wish Foundation International

None

Human Services

Make-a-Wish Foundation of the Rio Grande Valley

Together, we create life-changing wishes for children with critical illnesses.

Human Services

Make-a-Wish Foundation of Central New York Inc

The make-a-wish foundation of central new york creates life-changing wishes for children with critical illnesses.

—

Make-a-Wish Foundation of Central Ca

Grant the wishes of children between the ages of 2 1/2 and 18 with life-threatening medical conditions to enrich the human experience with hope, strength and joy.

—

Wishing Star Foundation

Wishing star foundation's mission is to provide hope and lasting memories for children who are terminal or battling a life-threatening illness.

Unclassified

A Child's Wish of Louisiana Inc

To grant wishes to and otherwise act for the benefit of children suffering from terminal or life theatening illness or disease.

—

Indiana Wish Inc

The mission of indiana wish is to grant wishes to indiana children ages 3 -18 diagnosed with a life-threatening illness.

Health

Make-a-Wish Foundation of Oklahoma Inc

Together, we create life-changing wishes for children with critical illnesses.

—

For reference, the grantee most central to the portfolio’s shape is Make-a-Wish Foundation of America and the most unlike its peers is Tragedy Assistance Program for Survivors Inc. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.

For each theme you fund, this compares how the sector’s money is shifting with how your own giving is shifting.

the sector your giving your giving is ahead of the sector the sector’s ahead of you· dot size = how much the theme matters to each side

Ordered by the change in your giving — leaning in on top, pulling back at the bottom. The bar between the two dots is how out of step you are with the sector. Hover any row for detail.

Sector change and giving change are each shown relative to their own range, growing (right) or shrinking (left); both normalized, so inflation isn’t mistaken for growth.

Your grantees are a median of 38 years old; the field is 16. You back the established end — and your money leans older still.

The field is 22% startups (under 5 years old) — 0% of your grantees by number, and just 0% of your money.

Closures · last 5 years

The orgs you fund almost never close — 2% lost their exemption, against 13% of the field you don’t fund.

orgs you fund

2%2/111

the rest of the field

13%

240,394/1,819,454

Age = years since IRS exemption (a founding proxy). “Closed” = auto-revocation for 3 years of non-filing — a floor on closure, not proof, and bigger established orgs lapse least. Association, not causation.

04the grantee network

106 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. 106 of the 111 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.

Load-bearing (≥25% of a budget)

Early backer (in before they grew)

102/106

Grantees still filing

82/106

Grew since you first funded

Where your money sits — by cause, then by grantee

Health$49,086,208Other$40,843,853Philanthropy$16,393,389Human Services$11,160,040Public Benefit$5,469,231Housing & Shelter$3,284,906Community Improvement$3,243,717

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.

The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.

Make-A-Wish Foundation of AmericaAZ85.3× affinity38 shared granteesties to 11 of 11Hover any node to trace its alignments.Compare side by side →

Open a dossier: Make-A-Wish Foundation of America · Inspire Brands Foundation Inc · Charities Aid Foundation America · The Blackbaud Giving Fund · Jpmorgan Chase Foundation · Lamb Weston Charitable Foundation · Enterprise Holdings Foundation · Give Back Foundation · The Pfizer Foundation Inc · Dutch Bros Foundation · Chubb Charitable Foundation · Ch Robinson Worldwide Foundation

Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.

Government reliance of your grantees

Every dot is one organization Car Donation 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.

2024

’20’21’22’23’24’25

no gov moneyreceives it· size = income

11get no government money at all

13report government grants on their 990 we could not trace to a source (not plotted)

0rely on government for over half their income

⤢ axis zoomed · 0–30%

typical government reliance, FY20–25

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.

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 camps

funders cluster by geography, not ideology

By state

where grant money is based, and what stays home

State money flows

the interactive map of money crossing state lines