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Egtvedt Charitable Trust Special 3 at a glance

· Private foundation

Egtvedt Charitable Trust Special 3

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.

$1.3M
Granted FY2024still arriving
10
Grants FY2024still arriving
3
States reached
$276k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2023 to 2024.

Health$1.1MPhilanthropy$635kArts & Culture$467kEducation$179kYouth Development$106k
02FY2024 · 10 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • $10k–50k1 grant · $36k
  • $50k–250k8 grants · $987k
  • $250k+1 grant · $276k
$92,102
Median grant
3
States reached
$22M
Total assets
Largest grants
RecipientAmount
SEATTLE CHILDRENS HOSPITAL$276,306
THE KENNEY$240,070
FRED HUTCHINSON CANCER CENTER$221,952
UNITED WAY OF KING COUNTY$184,207
PACIFIC LUTHERAN UNIVERSITY$92,102
VIRGINIA MASON FOUNDATION$73,984
SEATTLE FOUNDATION$64,922
NAVOS$55,865
BOYS REPUBLIC$54,356
EISENHOWER MEDICAL CENTER$36,236
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:

Its human-services grants (FY23–24, $106k) land where the poverty rate runs at 14%, against an area that typically sits at 10%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%BOYS REPUBLIC: $54k → 14%BOYS REPUBLIC: $51k → 14%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.

100%of every dollar goes to organizations it has funded before.
$2.4M · 9 repeat orgs$0 to everyone else

9 repeat relationships: 9 still active in FY2024, 0 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

9
0

Total granted

$2.4M
$0

Still filing today

67%
0%

New vs renewed · share of each year

In FY2024, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’23’24
HealthPhilanthropyEducationHuman ServicesOther
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

  • FH
    Fred Hutchinson Cancer Center
    2× · 2023–2024 · $432k · revenue +9%
  • N
    NAVOS
    2× · 2023–2024 · $109k · revenue +15%
  • BR
    Boys Republic
    2× · 2023–2024 · $106k · revenue +46%

Funded once

    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
    04the grantee network

    7 grantees tracked through their own filings, 2017–2025.

    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 2025, not grant rows in a single year, so this will not match the grant count on the cover. 7 of the 10 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)
    7/7
    Grantees still filing
    5/7
    Grew since first funded

    Where the money sits, by cause and then by grantee

    SEATTLE CHILDRENS HOSPITAL: $537,701 · OtherSEATTLE CHILDRENS HOSPITALTHE KENNEY: $467,184 · OtherTHE KENNEYVIRGINIA MASON FOUNDATION: $143,976 · OtherVIRGINIA MASON FOUNDATIONFred Hutchinson Cancer Center: $431,926 · HealthFred Hutchinson Cancer Cent…NAVOS: $108,715 · HealthNAVOSEisenhower Medical Center: $70,517 · HealthEisenhower Medical CenterUNITED WAY OF KING COUNTY: $358,473 · PhilanthropyUNITED WAY OF KING CO…SEATTLE FOUNDATION: $132,467 · PhilanthropySEATTLE FOUNDATIONPacific Lutheran University: $179,234 · EducationBoys Republic: $105,778 · Human Services
    Other$1,148,861Health$611,158Philanthropy$490,940Education$179,234Human Services$105,778

    Each grantee by its size and the funder’s share of it; top left is load-bearing

    25%50%75%100%$100Mgrantee revenue →↑ funder's share of their budgetFred Hutchinson Cancer Center: $431,926 over 2y, 0.0% of budgetUNITED WAY OF KING COUNTY: $358,473 over 2y, 0.3% of budgetPacific Lutheran University: $179,234 over 2y, 0.1% of budgetSEATTLE FOUNDATION: $132,467 over 2y, 0.0% of budgetNAVOS: $108,715 over 2y, 0.1% of budgetBoys Republic: $105,778 over 2y, 0.2% of budgetEisenhower Medical Center: $70,517 over 2y, 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.

    How much its grantees rely on government

    Each dot is one organization Egtvedt Charitable Trust Special 3 funds: left to right is the share of its income from government, bottom to top the share from Egtvedt Charitable Trust Special 3. Bigger dots raise more.

    2024
    ’20’21’22’23’24’25
    no gov · 00%0%1%3%5%funder's share of their income ↑0%13%25%38%50%share of the org’s income from government →
      no gov moneyreceives it· size = income
      0get no government money at all
      3report government grants on their 990 we could not trace to a source (not plotted)
      0rely on government for over half their income
      ⤢ axis zoomed · 0–50%
      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 10 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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      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