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· Private foundation

Sweet Tender Mercies Inc

Its FY2025 filing reports that it accepted unsolicited grant applications.

$118k
Granted FY2025still arriving
15
Grants FY2025still arriving
4
States reached
$37k
Largest
01What it funds
0180% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

Education$248kInternational$119kEnvironment$103kHealth$79kHuman Services$70kReligion$30kCrime & Legal$21kPhilanthropy$9kOther$0
02FY2025 · 15 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k12 grants · $41k
  • $10k–50k3 grants · $78k
$4,000
Median grant
4
States reached
$120k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$36,667
Individual grant recipient$25,200
ST TERESIA KILUNGU ACADAMY$15,736
DENTAL MUSE HOLISTIC & BIO DENT$7,712
Individual grant recipient$7,600
CASTLE ROCK SURGICENTER$7,406
Individual grant recipient$5,229
Individual grant recipient$4,000
Individual grant recipient$2,225
DR CRAIG LOUCKS MD$1,952
Individual grant recipient$1,400
Individual grant recipient$1,287
RISING STAR OUTREACH$1,080
GOFUNDME-MONICA KOYLE$510
Individual grant recipient$214
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 (FY17–25, $19k) land where the poverty rate runs at 11%, against an area that typically sits at 7%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%HOPE HOUSE: $5k → 13%HOPE HOUSE: $5k → 13%RISING STAR OUTREACH: $1k → 8%RISING STAR OUTREACH: $1k → 8%RISING STAR OUTREACH: $1k → 8%RISING STAR OUTREACH: $1k → 8%RISING STAR OUTREACH: $1k → 8%RISING STAR OUTREACH: $1k → 8%RISING STAR OUTREACH: $1k → 8%UTAH FOSTER CARE: $500 → 8%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.

Which US states its grants reach

WA
ID
IL
NY
CA
UT
CO
TN
AL
FL
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.

76%of every dollar goes to organizations it has funded before.
$579k · 19 repeat orgs$183k to everyone else

Grantees it renews have grown median revenue +75% since the first grant, against -11% for those funded once.

19 repeat relationships: 7 still active in FY2025, 12 since wound down; 8 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

19
55

Total granted

$579k
$153k

Median revenue growth · since first grant

+75%
-11%

Still filing today

11%
2%

New vs renewed · share of each year

In FY2025, 75% of grant dollars renewed an existing relationship; $30k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
RenewedFirst-time
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

  • IG
    Individual grant recipient
    6× · 2019–2025 · $185k
  • IG
    Individual grant recipient
    4× · 2017–2020 · $100k
  • ST
    ST TERESIA KILUNGU ACADEMY
    5× · 2019–2023 · $50k

Funded once

  • IG
    Individual grant recipient
    one grant, 2022 · $16k
  • IG
    Individual grant recipient
    one grant, 2023 · $11k
  • LP
    LDS PHILANTHROPIES
    one grant, 2017 · $10k
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

3 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. 3 of the 82 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)
3/3
Grantees still filing
2/3
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $185,491 · OtherIndividual grant recipientIndividual grant recipient: $100,401 · OtherIndividual grant recipientST TERESIA KILUNGU ACADEMY: $50,432 · OtherST TERESIA KILUNGU ACADEMYKIBERA SLUMS COMM DEV PROGRAM: $49,500 · OtherKIBERA SLUMS COMM DEV PROGRAMLEA COMMUNITY BASED ORG: $35,380 · OtherIndividual grant recipient: $28,350 · OtherIndividual grant recipient: $26,900 · Other+72 more: $267,360 · Other+72 moreHOPE HOUSE INC: $10,476 · Human ServicesRising Star Outreach Inc: $7,680 · Human Services+1 more: $500 · Human Services
Other$743,814Human Services$18,656

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 budgetHOPE HOUSE INC: $10,476 over 2y, 0.3% of budgetRising Star Outreach Inc: $7,680 over 7y, 0.1% of budgetUtah Foster Care Foundation Inc: $500 over 1y, 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 HOPE HOUSE INC ↗
  • Who funds Rising Star Outreach Inc ↗

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.

Donor Advised Charitable Giving IncCO6.5× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Donor Advised Charitable Giving 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 Sweet Tender Mercies Inc funds: left to right is the share of its income from government, bottom to top the share from Sweet Tender Mercies Inc. 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%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    2report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Sweet Tender Mercies Inc?

    Find your warmest path to Sweet Tender Mercies Inc 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.

    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 82 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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