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· Private foundation

Mary S Enk Trust

Its FY2026 filing reports that it accepted unsolicited grant applications.

$15k
Granted FY2026still arriving
14
Grants FY2026still arriving
4
States reached
$9k
Largest
01What it funds
0199% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2021 to 2025.

Religion$60kEducation$9kPublic Benefit$5kHuman Services$3kPublic Safety & Disaster$2kHealth$2kArts & Culture$625Youth Development$250Other$0
02FY2026 · 14 grants

Where the money goes

Grants by size, and the largest recipients.

$500
Median grant
4
States reached
$292k
Total assets
Largest grants
RecipientAmount
THE FIRST CHURCH IN BELFAST$9,150
TREASURER CITY OF BELFAST$1,000
BANGOR THEOLOGICAL SEMINARY$500
THOMAS COLLEGE$500
BELFAST PUBLIC HEALTH NURSING$500
RUTGERS UNIVERSITY$500
NEW BRUNSWICK THEOLOGIC SEMINARY$500
UNIVERSITY OF MAINE ORONO$500
MAINE SEACOAST MISSIONARY SOCIETY$500
DEBORAH LINCOLN HOUSE$375
RSU #71$350
AMERICAN NATIONAL RED CROSS$250
THE SALVATION ARMY- BELFAST$250
NEW BRUNSWICK HIGH SCHOOL$125
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 (FY21–26, $2k) land where the poverty rate runs at 14%, against an area that typically sits at 8%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%AMERICAN NATIONAL RED CROSS: $250 → 14%AMERICAN NATIONAL RED CROSS: $250 → 14%AMERICAN NATIONAL RED CROSS: $250 → 14%AMERICAN NATIONAL RED CROSS: $250 → 14%AMERICAN NATIONAL RED CROSS: $250 → 14%AMERICAN NATIONAL RED CROSS: $250 → 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.

86%of every dollar goes to organizations it has funded before.
$84k · 14 repeat orgs$13k to everyone else

14 repeat relationships: 13 still active in FY2026, 1 since wound down; 1 grantees were first funded in FY2026 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

14
15

Total granted

$84k
$13k

Still filing today

29%
0%

New vs renewed · share of each year

In FY2026, 97% of grant dollars renewed an existing relationship; $500 went to new ones.

50%100%’21’22’23’24’25’26
RenewedFirst-time

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

’21’22’23’24’25’26
ReligionHuman ServicesEducationOther
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

  • MS
    Maine Seacoast Mission
    6× · 2021–2026 · $3k · revenue +83%
  • DL
    Deborah Lincoln House
    6× · 2021–2026 · $2k · revenue +188%
  • AN
    American National Red Cross & Its Constituent Chapters and Branches
    6× · 2021–2026 · $2k · revenue +27%

Funded once

  • FC
    FIRST CHURCH OF BELFAST
    one grant, 2021 · $8k
  • UO
    UNIVERSITY OF MAINE FARMINGTON
    one grant, 2023 · $1k
  • KS
    KEENE STATE COLLEGE
    one grant, 2022 · $500
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

5 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. 5 of the 30 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)
5/5
Grantees still filing
4/5
Grew since first funded

Where the money sits, by cause and then by grantee

THE FIRST CHURCH IN BELFAST: $53,766 · OtherTHE FIRST CHURCH IN BELFASTFIRST CHURCH OF BELFAST: $8,147 · OtherFIRST CHURCH OF BELFASTTREASURER CITY OF BELFAST: $6,000 · OtherTREASURER CITY OF BELFAST+24 more: $24,150 · Other+24 moreBangor Theological Seminary: $3,000 · ReligionAmerican National Red Cross & Its Constituent Chapters and Branches: $1,500 · Human ServicesTHOMAS COLLEGE: $500 · Education
Other$92,063Religion$3,000Human Services$1,500Education$500

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

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetBangor Theological Seminary: $3,000 over 5y, 0.1% of budgetMaine Seacoast Mission: $3,000 over 6y, 0.0% of budgetDeborah Lincoln House: $2,250 over 6y, 0.2% of budgetAmerican National Red Cross & Its Constituent Chapters and Branches: $1,500 over 6y, 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.

  • Who funds Bangor Theological Seminary ↗
  • Who funds Maine Seacoast Mission ↗
  • Who funds Deborah Lincoln House ↗
  • Who funds American National Red Cross & Its Constituent Chapters and Branches ↗
  • Who funds THOMAS COLLEGE ↗

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.

John C Enk Char Residual TrustOH18.2× affinity6 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: John C Enk Char Residual Trust

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 Mary S Enk Trust funds: left to right is the share of its income from government, bottom to top the share from Mary S Enk Trust. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    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 30 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 2026, released 2026. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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