Skip to content
Diana S Ellis Foundation at a glance

· Private foundation

Diana S Ellis 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.

$18k
Granted FY2025still arriving
5
Grants FY2025still arriving
1
States reached
$6k
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 2025.

Education$37kHuman Services$26kRecreation & Sports$19kArts & Culture$11kAnimals$2kScience & Tech$2kHealth$1kPhilanthropy$750
02FY2025 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

$5,000
Median grant
1
States reached
$379k
Total assets
Largest grants
RecipientAmount
PEOPLE HELPING PEOPLE$6,000
TRAILS FOUNDATION OF NORTHERN UTAH$6,000
OGDEN SCHOOL FOUNDATION$5,000
KOSTOPULOS DREAM FOUNDATION$500
COMMUNITY FOUNDATION OF UTAH$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 (FY19–25, $24k) land where the poverty rate runs at 8%, against an area that typically sits at 8%. 92% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%CANINE COMPANIONS FOR INDEPENDENCE: $1k → 11%samaritan foundation: $2k → 6%PEOPLE HELPING PEOPLE: $6k → 8%CANINE COMPANIONS FOR INDEPENDENCE: $1k → 11%PEOPLE HELPING PEOPLE: $5k → 8%PEOPLE HELPING PEOPLE: $4k → 8%PEOPLE HELPING PEOPLE: $3k → 8%PEOPLE HELPING PEOPLE: $2k → 8%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.

81%of every dollar goes to organizations it has funded before.
$79k · 8 repeat orgs$18k to everyone else

Grantees it renews have grown median revenue +70% since the first grant, against +41% for those funded once.

8 repeat relationships: 4 still active in FY2025, 4 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

8
7

Total granted

$79k
$18k

Median revenue growth · since first grant

+70%
+41%

Still filing today

75%
29%

New vs renewed · share of each year

In FY2025, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’19’20’21’22’23’24’25
RenewedFirst-time

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

’19’20’21’22’23’24’25
Human ServicesEducationCivil RightsRecreation & SportsOther
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

  • OS
    OGDEN SCHOOL FOUNDATION
    6× · 2019–2025 · $30k · revenue +16%
  • PH
    PEOPLE HELPING PEOPLE
    5× · 2019–2025 · $20k · revenue +94%
  • TS
    THE SAMARITAN FOUNDATION
    4× · 2020–2023 · $6k · revenue +81%

Funded once

  • PE
    PEERYS EGYPTIAN THEATER
    one grant, 2023 · $5k
  • OS
    OGDEN SCHOOLFDN
    one grant, 2023 · $5k
  • MS
    Mathew S Browningcenter for design
    one grant, 2021 · $2k
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
Utah Shakespeare Festival Foundation
Arts & Culture
2
Utah Geological Foundation
—
3
Utah Motorsports Foundation
Philanthropy
4
Ogden Family Foundation
Education
5
Autism Foundation of Utah
Health
6
University of Utah Foundation

Provide support to the University of Utah Growth Capital Partners Foundation in Charitable, Educational and Scientific purposes.

Philanthropy
7
Economic Development Corporation of Utah Foundation

To serve as a catalyst for quality job growth and increased capital investment in the state.

Community Improvement
8
Northern Utah Cancer Foundation
—
9
Utah Public Lands Alliance
Education
10
Utah Valley Operafest

Opera Education and Performance

—
11
Real Salt Lake Foundation
Human Services
12
Utah Youth Sports Academy Foundation Fka Rsl Youth Academy Foundation
Recreation & Sports
How this is measured
The grantee most central to the portfolio’s shape is The Community Foundation of Utah; the most unlike its peers is Union Station 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

9 grantees tracked through their own filings, 2017–2026.

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 2026, not grant rows in a single year, so this will not match the grant count on the cover. 9 of the 16 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)
2
Early backer (in before they grew)
9/9
Grantees still filing
8/9
Grew since first funded

Where the money sits, by cause and then by grantee

TRAILS FOUNDATION OF NORTHERN UTAH: $10,500 · OtherTRAILS FOUNDATION OF NORTHERN UTAHPEERYS EGYPTIAN THEATER: $5,000 · OtherPEERYS EGYPTIAN THEATEROGDEN SCHOOLFDN: $5,000 · OtherOGDEN SCHOOLFDNMATTHEW S BROWNING CENTER FOR DESIG: $3,000 · OtherMATTHEW S BROWNING CENTER FOR DESIGMathew S Browningcenter for design: $2,000 · OtherMathew S Browningcenter for designHERITAGE THEATRE UTAH: $2,000 · OtherHERITAGE THEATRE UTAHMATTHEW S BROWNING DESIGN LAB - WSU: $2,000 · OtherMATTHEW S BROWNING DESIGN LAB - WSU+2 more: $2,000 · Other+2 moreOGDEN SCHOOL FOUNDATION: $30,000 · EducationOGDEN SCHOOL FOUNDATIONPEOPLE HELPING PEOPLE: $20,000 · Human ServicesPEOPLE HELPING PEOPLETHE SAMARITAN FOUNDATION: $5,750 · Human ServicesTHE SAMARITAN FOUNDATIONCANINE COMPANIONS FOR INDEPENDENCE INC: $2,000 · Human ServicesCANINE COMPANIONS FOR INDEPENDEN…WEBER PATHWAYS: $7,000 · Civil RightsKostopulos Dream Foundation: $1,000 · Recreation & SportsThe Community Foundation of Utah: $750 · Philanthropy
Other$31,500Education$30,000Human Services$27,750Civil Rights$7,000Recreation & Sports$1,000Philanthropy$750

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

25%50%75%100%$1.0M$10Mgrantee revenue →↑ funder's share of their budgetOGDEN SCHOOL FOUNDATION: $30,000 over 6y, 0.4% of budgetPEOPLE HELPING PEOPLE: $20,000 over 5y, 0.8% of budgetWEBER PATHWAYS: $7,000 over 2y, 0.6% of budgetTHE SAMARITAN FOUNDATION: $5,750 over 4y, 5.1% of budgetCANINE COMPANIONS FOR INDEPENDENCE INC: $2,000 over 2y, 0.0% of budgetUNION STATION FOUNDATION: $1,000 over 1y, 0.8% of budgetONSTAGE OGDEN: $1,000 over 1y, 0.1% of budgetKostopulos Dream Foundation: $1,000 over 2y, 0.0% of budgetThe Community Foundation of Utah: $750 over 2y, 0.0% 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 OGDEN SCHOOL FOUNDATION ↗
  • Who funds PEOPLE HELPING PEOPLE ↗
  • Who funds WEBER PATHWAYS ↗
  • Who funds THE SAMARITAN FOUNDATION ↗
  • Who funds CANINE COMPANIONS FOR INDEPENDENCE INC ↗
  • Who funds UNION STATION FOUNDATION ↗
  • Who funds ONSTAGE OGDEN ↗
  • Who funds Kostopulos Dream Foundation ↗
  • Who funds The Community Foundation of Utah ↗

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.

Lawrence & Janet Dee …George S and Dolores …Sorenson Legacy Found…Msl Family FoundationDouglas & Shelley Fel…Ralph Nye Charitable …Val a Browning Charit…Willard L Eccles Char…Fidelity Investments …Amazonsmile Foundation
Lawrence & Janet Dee FoundationUT20× affinity7 shared granteesties to 9 of 9Hover any node to trace its alignments.Compare side by side →

Open a dossier: Lawrence & Janet Dee Foundation · George S and Dolores Dore Eccles Foundation · Sorenson Legacy Foundation · Msl Family Foundation · Douglas & Shelley Felt Family Found · Ralph Nye Charitable Foundation · Val a Browning Charitable Foundation · Willard L Eccles Charitable Foundation · 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 Diana S Ellis Foundation funds: left to right is the share of its income from government, bottom to top the share from Diana S Ellis Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%1%3%6%10%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
    3report 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, FY20–25
    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 16 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

    Play a game based on Diana S Ellis’ 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