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· Private foundation

ML and JH LONGSTRETH FOUNDATION

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.

$9k
Granted FY2025still arriving
9
Grants FY2025still arriving
2
States reached
$2k
Largest
01What it funds
0185% classified

What it funded, over time

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

Education$21kReligion$19kHealth$11kHuman Services$6kFood & Nutrition$2kHousing & Shelter$1kPublic Safety & Disaster$1kPhilanthropy$700Other$0
02FY2025 · 9 grants

Where the money goes

Grants by size, and the largest recipients.

$1,000
Median grant
2
States reached
$159k
Total assets
Largest grants
RecipientAmount
St Genevive Church$1,500
Mount St Joes Academy$1,500
Our Mother of Consolation$1,000
St Geneveve's School$1,000
Breakthrough T1D$1,000
Individual grant recipient$1,000
Lancer Gold & White Club$500
Queen of Piece Church$500
LaSalle College HS$500
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 (FY22–24, $750) land where the poverty rate runs at 7%, against an area that typically sits at 12%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 12%Shane's Kindness: $500 → 7%Shane's Kindness: $250 → 7%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.

88%of every dollar goes to organizations it has funded before.
$62k · 25 repeat orgs$8k to everyone else

25 repeat relationships: 8 still active in FY2025, 17 since wound down; 1 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

25
12

Total granted

$62k
$8k

Still filing today

24%
0%

New vs renewed · share of each year

In FY2025, 94% of grant dollars renewed an existing relationship; $500 went to new ones.

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

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

’17’18’19’20’21’22’23’24’25
HealthHuman 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

  • AH
    American Heart Association Inc
    3× · 2017–2019 · $3k · revenue +33%
  • BT
    BREAKTHROUGH T1D
    2× · 2024–2025 · $2k · revenue +17%
  • TC
    THE CHILDREN'S HOSPITAL OF PHILADELPHIA
    3× · 2019–2021 · $2k · revenue +59%

Funded once

  • JD
    Juvenile Diabetes
    4× · 2022–2025 · $1k
  • MS
    Mount St Joseph Acad Crew
    2× · 2022–2023 · $1k
  • LC
    LaSalle College Foundation
    one grant, 2022 · $1k
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 38 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)
6/7
Grantees still filing
4/7
Grew since first funded

Where the money sits, by cause and then by grantee

Our Mother of Consolation: $8,250 · OtherOur Mother of ConsolationMT ST JOSEPH ACADEMY: $7,000 · OtherMT ST JOSEPH ACADEMYMount St Joes Academy: $5,500 · OtherMount St Joes AcademyST GENEVIEVE CHURCH: $4,500 · OtherST GENEVIEVE CHURCHSt Genevive Church: $4,500 · OtherSt Genevive ChurchIndividual grant recipient: $3,000 · OtherHUMAIN E SOCIETY OF THE USA: $2,750 · OtherIndividual grant recipient: $2,500 · OtherLaSalle College HS: $2,500 · OtherIndividual grant recipient: $2,250 · Other+21 more: $17,350 · Other+21 moreAmerican Heart Association Inc: $3,000 · HealthAmerican Heart…BREAKTHROUGH T1D: $2,000 · HealthBREAKTHROUGH T…THE CHILDREN'S HOSPITAL OF PHILADELPHIA: $1,500 · HealthTHE CHILDREN'S…The MIP Foundation: $1,000 · HealthThe MIP Founda…FOR PETE'S SAKE CANCER RESPITE FOUNDATION: $1,000 · HealthFOR PETE'S SAK…AMERICAN CANCER SOCIETY INC: $450 · HealthSHANES KINDNESS: $750 · Human Services
Other$60,100Health$8,950Human Services$750

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetAmerican Heart Association Inc: $3,000 over 3y, 0.0% of budgetBREAKTHROUGH T1D: $2,000 over 2y, 0.0% of budgetTHE CHILDREN'S HOSPITAL OF PHILADELPHIA: $1,500 over 3y, 0.0% of budgetThe MIP Foundation: $1,000 over 5y, 0.4% of budgetFOR PETE'S SAKE CANCER RESPITE FOUNDATION: $1,000 over 3y, 0.0% of budgetSHANES KINDNESS: $750 over 4y, 0.5% of budgetAMERICAN CANCER SOCIETY INC: $450 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.

  • Who funds American Heart Association Inc ↗
  • Who funds BREAKTHROUGH T1D ↗
  • Who funds THE CHILDREN'S HOSPITAL OF PHILADELPHIA ↗
  • Who funds The MIP Foundation ↗
  • Who funds FOR PETE'S SAKE CANCER RESPITE FOUNDATION ↗
  • Who funds SHANES KINDNESS ↗
  • Who funds AMERICAN CANCER SOCIETY 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 set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile FoundationWA2.4× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 ML and JH LONGSTRETH FOUNDATION funds: left to right is the share of its income from government, bottom to top the share from ML and JH LONGSTRETH FOUNDATION. 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 →
    no gov moneyreceives it· size = income
    0get no government money at all
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to ML and JH LONGSTRETH FOUNDATION?

    Find your warmest path to ML and JH LONGSTRETH FOUNDATION 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 38 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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