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· Private foundation

W Marshall Hughes Jr

Its FY2025 filing reports that it accepted unsolicited grant applications.

$116k
Granted FY2025still arriving
6
Grants FY2025still arriving
3
States reached
$31k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

Education$1.4M
02FY2025 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

$19,000
Median grant
3
States reached
$4.3M
Total assets
Largest grants
RecipientAmount
ALEXA WRIGHT CO UCLA$30,968
MAVERICK REINHART CO PENN STATE UN$19,000
AMANDA SMITH CO GETTYSBURY COLLEGE$19,000
AUSTIN SNAVELY CO UNIV OF ROCHESTER$19,000
MCKENNA BUCKS CO SYRACUSE UNIVERSITY$16,800
CARSON PALLADINO CO MILLERSVILLE UNIV$11,300
02The need
03

Where the grant dollars land

Across the US and around the world.

Which US states its grants reach

NY
MA
OH
PA
NJ
CA
VA
MD
NM
How this is measured
Grants placed by each grantee’s location, read from the 990 filings.
03Its grantees
repeat funding

Who it funds again

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

79%of every dollar goes to organizations it has funded before.
$1.1M · 20 repeat orgs$294k to everyone else

20 repeat relationships: 2 still active in FY2025, 18 since wound down; 4 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

20
22

Total granted

$1.1M
$228k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2025, 43% of grant dollars renewed an existing relationship; $66k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
RenewedFirst-time
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

  • HS
    HUGHES SCHOLARSHIP FOUNDATION
    3× · 2017–2019 · $526k
  • AW
    ALEXA WRIGHT CO UCLA
    3× · 2023–2025 · $78k
  • IG
    Individual grant recipient
    3× · 2020–2022 · $50k

Funded once

  • AS
    ANDREW SANTORO CO LEBANON VALLEY
    one grant, 2023 · $20k
  • MG
    MIKAELA GATTO CO BERKLEE COLLEGE
    one grant, 2023 · $20k
  • MS
    MAYA SIMMS CO SYRACUSE UNIVERSITY
    one grant, 2023 · $20k
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

0 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. 0 of the 46 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)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

HUGHES SCHOLARSHIP FOUNDATION: $525,560 · OtherHUGHES SCHOLARSHIP FOUNDATIONALEXA WRIGHT CO UCLA: $77,968 · OtherALEXA WRIGHT CO UCLAIndividual grant recipient: $50,400 · OtherDAVID HELMER CO JOHN HOPKINS UNIVERSITY: $47,000 · Other+42 more: $697,230 · Other+42 more
Other$1,398,158

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

25%50%75%100%grantee revenue →↑ funder's share of their 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.

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 46 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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