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Hutton Family Foundation at a glance

· Private foundation

Hutton Family Foundation

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$526k
Granted FY2025still arriving
12
Grants FY2025still arriving
5
States reached
$200k
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, FY2020 to 2024.

Animals$451kYouth Development$78kHuman Services$74kHealth$10kRecreation & Sports$3k
02FY2025 · 12 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • $10k–50k11 grants · $326k
  • $50k–250k1 grant · $200k
$30,000
Median grant
5
States reached
$10M
Total assets

Anchored by a single position: about 99% of reported assets are held in Bny.

Largest grants
RecipientAmount
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA LOS ANGELES$200,000
TROT$37,263
TAKING THE REINS$35,000
TAKING THE REINS$35,000
THE ANIMAL PROTECTORATES$30,000
THE ANIMAL PROTECTORATES$30,000
ROWDY GIRL SANCTUARY INC$30,000
ALLEGIANCE RANCH & EQUINE RESCUE$28,500
ALLEGIANCE RANCH & EQUINE RESCUE$28,500
DOGS WITHOUT BORDERS$25,000
DOGS WITHOUT BORDERS$25,000
ROWDY GIRL SANCTUARY INC$22,000
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:

Its human-services grants (FY24–25, $222k) 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.

area typical 11%TAKING THE REINS: $78k → 14%TAKING THE REINS: $35k → 14%TAKING THE REINS: $35k → 14%RIDE ON THERAPEUTIC HORSEMANSHIP: $74k → 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.
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.

42%of every dollar goes to organizations it has funded before.
$484k · 3 repeat orgs$658k to everyone else

3 repeat relationships: 2 still active in FY2025, 1 since wound down; 5 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
6

Total granted

$484k
$259k

Median revenue growth · since first grant

0%
0%

Still filing today

67%
67%

New vs renewed · share of each year

In FY2025, 24% of grant dollars renewed an existing relationship; $399k went to new ones.

50%100%’20’21’24’25
RenewedFirst-time

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

’20’21’24’25
AnimalsHuman 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

  • UD
    UCLA DEPARTMENT OF UROLOGY
    2× · 2020–2021 · $216k
  • TT
    TAKING THE REINS
    2× · 2024–2025 · $148k · revenue 0%
  • AR
    ALLEGIANCE RANCH AND EQUINE RESCUE
    2× · 2024–2025 · $120k · revenue 0% · 35% of their budget

Funded once

  • PF
    PAWS FOR LIFE K9 RESCUE
    one grant, 2024 · $75k · revenue 0%
  • RO
    RIDE ON LA RIDE ON THERAPEUTIC HORSEMANSHIP
    one grant, 2024 · $74k · revenue 0%
  • ZS
    ZOOLOGICAL SOCIETY OF SAN DIEGO
    one grant, 2024 · $57k · revenue 0%
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

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
Wolfe Ranch Rescue
Animals
2
Runaways Animal Rescue
Animals
3
Fighting Chance Ranch & Rescue
Animals
4
Donna's Love Pet Rescue
Animals
5
Believe Ranch and Rescue
Animals
6
Realtors to the Rescue

Animal Rescue

—
7
Puppy Dog Ranch

A small No Kill Rescue and Sanctuary for unwanted, homeless, abused, neglected, blind, deaf, disabled, medically dependent, special needs and unadoptable dogs and puppies.

Animals
8
Where the Wild Things Are Rescue in

The rescue and rehabilitation of canines.

Animals
9
2nd Chance Ranch and Rescue

Sanctuary for abused or abandoned animals

Animals
10
Raskels Rescue
Animals
11
Pets Return Home

The organization seeks to reduce the unecessary killing and suffering of healthy adoptable dogs at animal rescue and shelter organizations

Animals
12
Asian Dogs Rescue Allies

To rescue at risk k-9s from asia.

Animals
How this is measured
The grantee most central to the portfolio’s shape is Allegiance Ranch and Equine Rescue; the most unlike its peers is Dogs Without Borders Inc. 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

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.

1
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
9/9
Grantees still filing
0/9
Grew since first funded

Where the money sits, by cause and then by grantee

UCLA DEPARTMENT OF UROLOGY: $216,021 · OtherUCLA DEPARTMENT OF UROLOGYTHE REGENTS OF THE UNIVERSITY OF CALIFORNIA LOS ANGELES: $200,000 · OtherTHE REGENTS OF THE UNIVERSITY OF CALIFORNIA LOS A…TROT: $37,263 · OtherTROTIndividual grant recipient: $33,134 · OtherIndividual grant recipient+1 more: $10,000 · OtherALLEGIANCE RANCH AND EQUINE RESCUE: $120,389 · AnimalsALLEGIANCE RANCH AND EQUINE RESCUEPAWS FOR LIFE K9 RESCUE: $75,000 · AnimalsPAWS FOR LIFE K9 RESCUEThe Animal Protectorates: $60,000 · AnimalsThe Animal ProtectoratesZOOLOGICAL SOCIETY OF SAN DIEGO: $56,501 · AnimalsZOOLOGICAL SOCIETY OF SAN DIEGORowdy Girl Sanctuary Inc: $52,000 · AnimalsRowdy Girl Sanctuary IncDOGS WITHOUT BORDERS INC: $50,000 · AnimalsDOGS WITHOUT BORDERS INC+1 more: $10,000 · AnimalsTAKING THE REINS: $148,000 · Human ServicesTAKING THE REINSRIDE ON LA RIDE ON THERAPEUTIC HORSEMANSHIP: $74,407 · Human ServicesRIDE ON LA RIDE ON THE…
Other$496,418Animals$423,890Human Services$222,407

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 budgetTAKING THE REINS: $148,000 over 2y, 7.3% of budgetALLEGIANCE RANCH AND EQUINE RESCUE: $120,389 over 2y, 35% of budgetPAWS FOR LIFE K9 RESCUE: $75,000 over 1y, 2.0% of budgetRIDE ON LA RIDE ON THERAPEUTIC HORSEMANSHIP: $74,407 over 1y, 1.7% of budgetZOOLOGICAL SOCIETY OF SAN DIEGO: $56,501 over 1y, 0.0% of budgetRowdy Girl Sanctuary Inc: $52,000 over 1y, 9.4% of budgetDOGS WITHOUT BORDERS INC: $50,000 over 1y, 11% of budgetLIFE Animal Rescue: $10,000 over 1y, 4.3% 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.

Fidelity Investments …Amazonsmile Foundation
Fidelity Investments Charitable Gift FundMA5.4× affinity5 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 Hutton Family Foundation funds: left to right is the share of its income from government, bottom to top the share from Hutton Family Foundation. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 00%3%10%23%40%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
    0get 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 · 0–5%
    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 14 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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    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