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California · Public charity

Sepulveda Research Corporation

Support of active medical research conducted at the veterans affairs medical center (vmac) in sepulveda, california.

$3.3M
Granted FY2020
1
Grants FY2020
1
Organizations funded FY2020
Read the full brief
Median grant, FY2020
$3,323,970
Largest grant, FY2020
$3,323,970
States reached, FY2020
1

Top grantees

Largest recipients by total granted, FY2020 to FY2020, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Greater Los Angeles Veterans Research and Education Foundation$3,323,970164%

Compare Sepulveda Research Corporation with peer funders

Warm introductions · Powered by PlinthPlus

How do I get to Sepulveda Research Corporation?

Find your warmest path to Sepulveda Research Corporation 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.

About Sepulveda Research Corporation

How much does Sepulveda Research Corporation give?
Sepulveda Research Corporation reported 1 grants totaling $3,323,970 in its FY2020 IRS filing.
What does Sepulveda Research Corporation fund?
By grant dollars over FY2020 to FY2020, its largest causes are Health (100%).
Who are Sepulveda Research Corporation's largest grantees?
By total granted over FY2020 to FY2020: Greater Los Angeles Veterans Research and Education Foundation ($3.3M).
Where is Sepulveda Research Corporation based?
Sepulveda Research Corporation is based in CA.

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 e-file return for fiscal year 2020, released 2020. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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