Skip to content

· Private foundation

The R J Narkis Charitable Trust

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$43k
Granted FY2024still arriving
1
Grants FY2024still arriving
1
States reached
$43k
Largest

Read this first · the figures below need context

100% of The R J Narkis Charitable Trust’s FY2024 grant dollars went to The Connecticut Community Foundation, not to grantees.

Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2024 names 0 organizations directly, so a portfolio cannot be read from it.

Organizations named directly on the return

3
’22
0
’24

Amber years are those where most dollars went to a sponsor.

01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2022 to 2024.

Philanthropy$43kArts & Culture$8k
02FY2024 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$43,320
Median grant
1
States reached
$1k
Total assets
Largest grants
RecipientAmount
CONNECTICUT COMMUNITY FOUNDATION$43,320
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.

None of its grants could be placed against low income need for this view.

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 field
04the grantee network

4 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.

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)
4/4
Grantees still filing
2/4
Grew since first funded

Where the money sits, by cause and then by grantee

THE CONNECTICUT COMMUNITY FOUNDATION: $43,320 · PhilanthropyTHE CONNECTICUT COMMUNITY FOUNDATIONMATTATUCK HISTORICAL SOCIETY: $4,000 · Arts & CultureMATTATUCK HISTORI…WATERBURY SYMPHONY ORCHESTRA INC: $2,600 · Arts & CultureWATERBURY SYMPHON…Seven Angels Theatre Inc: $1,400 · Arts & CultureSeven Angels Thea…
Philanthropy$43,320Arts & Culture$8,000

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

25%50%75%100%$10Mgrantee revenue →↑ funder's share of their budgetTHE CONNECTICUT COMMUNITY FOUNDATION: $43,320 over 1y, 0.2% of budgetMATTATUCK HISTORICAL SOCIETY: $4,000 over 1y, 0.1% of budgetWATERBURY SYMPHONY ORCHESTRA INC: $2,600 over 1y, 0.2% of budgetSeven Angels Theatre Inc: $1,400 over 1y, 0.1% 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.

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 tightly interlocked group: most of these funders back each other's grantees too.

Elisha Leavenworth Foundation IncCT13.6× affinity4 shared granteesties to 3 of 3Hover any node to trace its alignments.Compare side by side →

Open a dossier: Elisha Leavenworth Foundation Inc · American Savings Foundation Inc · Ion Bank Foundation Inc · Amazonsmile Foundation

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 The R J Narkis Charitable Trust funds: left to right is the share of its income from government, bottom to top the share from The R J Narkis Charitable Trust. 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%3%5%8%10%share of the org’s income from government →median 1%
  • Waterbury Symphony Orchestra Inc: 1% of 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 · 0–10%
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 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-PF e-file return for fiscal year 2024, released 2024. 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 FY2024, the most recent year this funder made grants.

Source object · view filing

Play a game based on R J Narkis’ filings →

More from the funding graph