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· Public charity

E4 Carolinas Inc

E4 Carolinas is the trade association for Carolina energy companies and organizations.

$79k
Granted FY2020
4
Grants FY2020
—
States reached
$28k
Largest
01What it funds
01FY2020 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

$27,385
Median grant
—
States reached
$147k
Total assets
Largest grants
RecipientAmount
TRIANGLE J COUNCIL OF GOVERNMENTS$27,724
CENTRALINA COUNCIL OF GOVERNMENTS$27,385
NC STATE UNIVERSITY$12,164
SACE$11,995
02Its field
02the grantee network

0 grantees tracked through their own filings, 2020–2020.

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

How this is measured

Counted here: distinct organizations funded across 2020 to 2020, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 4 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

TRIANGLE J COUNCIL OF GOVERNMENTS: $27,724 · OtherTRIANGLE J COUNCIL OF GOVERNMENTSCENTRALINA COUNCIL OF GOVERNMENTS: $27,385 · OtherCENTRALINA COUNCIL OF GOVERNMENTSNC STATE UNIVERSITY: $12,164 · OtherNC STATE UNIVERSITYSACE: $11,995 · OtherSACE
Other$79,268

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 4 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.

Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2020, the most recent year this funder made grants.

Source object · view filing

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