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· Public charity

Marin Athletic Foundation

To enhance, improve & maitain high school sport programs.

$92k
Granted FY2026still arriving
9
Grants FY2026still arriving
1
States reached
$7k
Largest
01What it funds
01FY2026 · 9 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 9 grants below total $61,500, the rows itemized in this filing. The $91,500 headline is the total grant expense on the return; the other $30,000 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.
$7,000
Median grant
1
States reached
$256k
Total assets
Largest grants
RecipientAmount
REDWOOD HIGH SCHOOL$7,000
NOVATO HIGH SCHOOL$7,000
SAN RAFAEL HIGH SCHOOL$7,000
TERRA LINDA HIGH SCHOOL$7,000
ARCHIE WILLIAMS HIGH SCHOOL$7,000
TOMALES HIGH SCHOOL$7,000
SAN MARIN HIGHSCHOOL$7,000
TAMALPAIS HIGH SCHOOL$7,000
MARIN CATHOLIC HIGH SCHOOL$5,500
02The need
02

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:

Dollar for dollar, its grants (FY25–26) land where the poverty rate runs at 8%, against an area that typically sits at 6%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 6%TERRA LINDA HIGH SCHOOL: $7k → 8%TERRA LINDA HIGH SCHOOL: $6k → 8%TAMALPAIS HIGH SCHOOL: $7k → 8%TAMALPAIS HIGH SCHOOL: $6k → 8%SAN MARIN HIGHSCHOOL: $7k → 8%NOVATO HIGH SCHOOL: $7k → 8%NOVATO HIGH SCHOOL: $6k → 8%MARIN CATHOLIC HIGH SCHOOL: $6k → 8%SAN MARIN HIGHSCHOOL: $6k → 8%REDWOOD HIGH SCHOOL: $7k → 8%REDWOOD HIGH SCHOOL: $6k → 8%TOMALES HIGH SCHOOL: $7k → 8%TOMALES HIGH SCHOOL: $6k → 8%ARCHIE WILLIAMS HIGH SCHOOL: $7k → 8%ARCHIE WILLIAMS HIGH SCHOOL: $6k → 8%SAN RAFAEL HIGH SCHOOL: $7k → 8%SAN RAFAEL HIGH SCHOOL: $6k → 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.

95%of every dollar goes to organizations it has funded before.
$104k · 8 repeat orgs$6k to everyone else

8 repeat relationships: 8 still active in FY2026, 0 since wound down; 1 grantees were first funded in FY2026 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

8
1

Total granted

$104k
$6k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2026, 91% of grant dollars renewed an existing relationship; $6k went to new ones.

50%100%’25’26
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

  • NH
    NOVATO HIGH SCHOOL
    2× · 2025–2026 · $13k
  • TL
    TERRA LINDA HIGH SCHOOL
    2× · 2025–2026 · $13k
  • NU
    NOVATO UNIFIED SCHOOL DISTRICT
    2× · 2025–2026 · $13k

Funded once

  • MC
    MARIN CATHOLIC HIGH SCHOOL
    one grant, 2026 · $6k
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
03the grantee network

0 grantees tracked through their own filings, 2025–2026.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2025 to 2026, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 9 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

NOVATO HIGH SCHOOL: $13,000 · OtherNOVATO HIGH SCHOOLTERRA LINDA HIGH SCHOOL: $13,000 · OtherTERRA LINDA HIGH SCHOOLNOVATO UNIFIED SCHOOL DISTRICT: $13,000 · OtherNOVATO UNIFIED SCHOOL DISTRICTARCHIE WILLIAMS HIGH SCHOOL: $13,000 · OtherARCHIE WILLIAMS HIGH SCHOOLTOMALES HIGH SCHOOL: $13,000 · OtherTOMALES HIGH SCHOOLSAN RAFAEL HIGH SCHOOL: $13,000 · OtherSAN RAFAEL HIGH SCHOOLREDWOOD HIGH SCHOOL: $13,000 · OtherREDWOOD HIGH SCHOOLREDWOOD HIGH SCHOOL: $13,000 · OtherREDWOOD HIGH SCHOOLMARIN CATHOLIC HIGH SCHOOL: $5,500 · Other
Other$109,500

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.

05Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Marin Athletic Foundation?

Find your warmest path to Marin Athletic Foundation through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

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 9 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 e-file return for fiscal year 2026, released 2026. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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