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· Private foundation

Global Academy Foundation % Walter Link

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$11k
Granted FY2024still arriving
1
Grants FY2024still arriving
—
States reached
$11k
Largest
01What it funds
01FY2024 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$10,608
Median grant
—
States reached
$696k
Total assets
Largest grants
RecipientAmount
Sarvodaya Suwasetha Suwa Society Lt$10,608
02The need
02

Where the grant dollars land

Across the US and around the world.

US giving: 0% of grant dollars ($0). The 100% that went abroad ($11k) is mapped below.

Beyond the US: 100% of all-years giving ($11k)

1 country, by the recipient’s country on the filing.

grant dollars sentlessmore
Sri Lanka$11k · 1 grant
How this is measured
International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its field
03the grantee network

0 grantees tracked through their own filings, 2024–2024.

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

How this is measured

Counted here: distinct organizations funded across 2024 to 2024, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 1 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

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 1 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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