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Tr Ua Lillian I Sullivan at a glance

· Private foundation

Tr Ua Lillian I Sullivan

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.

$266k
Granted FY2025still arriving
5
Grants FY2025still arriving
3
States reached
$53k
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.

Health$1.2MEducation$293kHuman Services$164kInternational$46k
02FY2025 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

$53,285
Median grant
3
States reached
$4.1M
Total assets
Largest grants
RecipientAmount
LITTLE SISTERS OF THE POOR$53,285
AMERICAN HEART ASSOCIATION INC$53,285
AMERICAN CANCER SOCIETY INC$53,285
CINCINNATI ASSN FOR THE BLIND$53,285
ST RITA SCHOOL FOR THE DEAF$53,285
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 (FY22–25, $210k) land where the poverty rate runs at 16%, against an area that typically sits at 9%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%CINCINNATI ASSN FOR THE BLIND: $60k → 16%CINCINNATI ASSN FOR THE BLIND: $53k → 16%CINCINNATI ASSN FOR THE BLIND: $50k → 16%CINCINNATI ASSN FOR THE BLIND: $46k → 16%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.

94%of every dollar goes to organizations it has funded before.
$1.6M · 8 repeat orgs$106k to everyone else

Grantees it renews have grown median revenue -1% since the first grant, against -90% for those funded once.

8 repeat relationships: 5 still active in FY2025, 3 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

8
2

Total granted

$1.6M
$106k

Median revenue growth · since first grant

-1%
-90%

Still filing today

75%
50%

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
HealthHuman ServicesReligionOther
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

  • AH
    American Heart Association Inc
    7× · 2019–2025 · $342k · revenue +43%
  • SR
    St Rita School For The Deaf
    6× · 2019–2025 · $293k · revenue -1%
  • CA
    Cincinnati Association for the Blind and Visually Impaired
    4× · 2022–2025 · $210k · revenue -4%

Funded once

  • LS
    LITTLE SISTERS OF THE POOR-CINCINNATI
    one grant, 2022 · $60k · revenue -90%
  • LS
    LITTLE SISTERS OF THE POOR
    one grant, 2023 · $46k
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 10 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)
7/7
Grantees still filing
2/7
Grew since first funded

Where the money sits, by cause and then by grantee

St Rita School For The Deaf: $293,457 · OtherSt Rita School For The DeafAMERICAN CANCER SOCIETY INC: $192,739 · OtherAMERICAN CANCER SOCIETY INCCINTI ASSOCIATION FOR THE BLIND: $180,842 · OtherCINTI ASSOCIATION FOR THE BLINDLITTLE SISTERS OF THE POOR: $45,743 · OtherLITTLE SISTERS OF THE POORAmerican Heart Association Inc: $341,986 · HealthAmerican Heart Association IncAMERICAN CANCER SOCIETY INC: $149,247 · HealthAMERICAN CANCER SOCIETY INCLITTLE SISTERS OF THE POOR SACRED HEART HOME: $132,313 · HealthLITTLE SISTERS OF THE POOR SACRED HEART HOMELITTLE SISTERS OF THE POOR-CINCINNATI: $60,426 · HealthLITTLE SISTERS OF THE POOR-CINCINNATICincinnati Association for the Blind and Visually Impaired: $209,673 · Human ServicesCincinnati As…Home for the Aged of Little Sisters of the Poor: $103,504 · Religion
Other$712,781Health$683,972Human Services$209,673Religion$103,504

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

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetAmerican Heart Association Inc: $341,986 over 7y, 0.0% of budgetSt Rita School For The Deaf: $293,457 over 6y, 1.2% of budgetCincinnati Association for the Blind and Visually Impaired: $209,673 over 4y, 0.5% of budgetAMERICAN CANCER SOCIETY INC: $149,247 over 3y, 0.0% of budgetLITTLE SISTERS OF THE POOR SACRED HEART HOME: $132,313 over 3y, 10% of budgetLITTLE SISTERS OF THE POOR-CINCINNATI: $60,426 over 1y, 0.8% 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 set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile Foundation
Amazonsmile FoundationWA2.7× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 Tr Ua Lillian I Sullivan funds: left to right is the share of its income from government, bottom to top the share from Tr Ua Lillian I Sullivan. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%6%25%56%100%funder's share of their income ↑0%4%8%11%15%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 · 0–15%
    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 10 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