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MMH Foundation at a glance

· Private foundation

MMH 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.

$800
Granted FY2025still arriving
2
Grants FY2025still arriving
1
States reached
$500
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead

Read this first · the figures below need context

100% of MMH Foundation’s FY2025 grant dollars went to American Online Giving Foundation Inc, not to grantees.

Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2025 names 0 organizations directly, so a portfolio cannot be read from it.

Organizations named directly on the return

1
’20
3
’21
1
’22
2
’23
0
’24
0
’25

Amber years are those where most dollars went to a sponsor.

01What it funds
0195% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2025.

Education$5kPhilanthropy$2kHealth$700Civil Rights$500Religion$500Arts & Culture$320Crime & Legal$200International$100Other$0
02FY2025 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

$500
Median grant
1
States reached
$24k
Total assets
Largest grants
RecipientAmount
American Online Giving Foundation$500
American Online Giving Foundation$300
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:

Dollar for dollar, its grants (FY20–25) land where the poverty rate runs at 9%, against an area that typically sits at 7%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%American Online Giving Foundation: $560 → 10%Menlo Church: $500 → 7%International Performing Arts of America: $120 → 8%Give2Asia: $100 → 10%Hirshberg Foundation for Pancreatic Cancer Foundation: $500 → 14%American Online Giving Foundation Inc (AOGF): $500 → 12%Students For Fair Admissions Inc: $500 → 7%American Online Giving Foundation: $500 → 10%Saratoga High School Foundation: $2k → 8%UCLA Center AIDS Research: $200 → 14%American Online Giving Foundation: $300 → 10%Saratoga High School Foundation: $2k → 8%American Online Giving Foundation Inc: $100 → 10%SHS Sports Boosters: $1k → 8%Saratoga High School Foundation: $500 → 8%Zhi Yin Vocal Music Center Inc: $200 → 8%Stanford: $500 → 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.
04

Where the work is directed

The same grants placed two ways: where each recipient sits, and where its stated purpose sends the money.

About 16% of MMH Foundation’s grant dollars are earmarked for a different county than the recipient’s own address.

MMH Foundationlessmore of its giving
Placed by recipient address · 7.0% directed abroad (not shown)
How this is measured
Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the funder’s own 990 grant descriptions.
03Its grantees
04Its field
05the grantee network

7 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. 7 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.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
7/7
Grantees still filing
5/7
Grew since first funded

Where the money sits, by cause and then by grantee

SARATOGA HIGH SCHOOL FOUNDATION: $4,000 · EducationSARATOGA HIGH SCHOOL FOUNDATIONTHE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY: $500 · EducationTHE BOARD OF TRUSTEES OF THE LELAND STANFORD JU…Individual grant recipient: $1,301 · OtherIndividual grant recipientTsinghua Education Foundation: $760 · OtherTsinghua Education FoundationMenlo Church: $500 · OtherMenlo ChurchAmerican Online Giving Foundation Inc (AOGF): $500 · OtherAmerican Online Giving Foundation Inc (AO…Hirshberg Foundation for Pancreatic Cancer Foundation: $500 · OtherHirshberg Foundation for Pancreatic Cance…ZHI YIN VOCAL MUSIC CENTER INC: $200 · OtherUCLA Center AIDS Research: $200 · OtherAMERICAN ONLINE GIVING FOUNDATION INC: $1,460 · PhilanthropyAMERICAN ONLINE…Students For Fair Admissions Inc: $500 · Civil RightsSHERIFF'S ADVISORY BOARD OF SANTA CLARA COUNTY: $200 · Crime & LegalINTERNATIONAL PERFORMING ARTS OF AMERICA: $120 · Arts & CultureGIVE2ASIA: $100 · International
Education$4,500Other$3,961Philanthropy$1,460Civil Rights$500Crime & Legal$200Arts & Culture$120International$100

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 budgetSARATOGA HIGH SCHOOL FOUNDATION: $4,000 over 3y, 0.7% of budgetAMERICAN ONLINE GIVING FOUNDATION INC: $1,460 over 3y, 0.0% of budgetStudents For Fair Admissions Inc: $500 over 1y, 0.1% of budgetTHE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY: $500 over 1y, 0.0% of budgetSHERIFF'S ADVISORY BOARD OF SANTA CLARA COUNTY: $200 over 1y, 0.2% of budgetINTERNATIONAL PERFORMING ARTS OF AMERICA: $120 over 1y, 0.1% of budgetGIVE2ASIA: $100 over 1y, 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.

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.

Donor Advised Charita…
Donor Advised Charitable Giving IncCO6.5× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Donor Advised Charitable Giving Inc

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 MMH Foundation funds: left to right is the share of its income from government, bottom to top the share from MMH Foundation. Bigger dots raise more.

2023
’20’21’22’23’24’25
no gov · 10%0%1%3%5%funder's share of their income ↑0%5%10%15%20%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–20%
    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 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

    Play a game based on MMH’s 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