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· Public charity

Good Samaritan Health Services Foundation of Lebanon Pa

The purpose of the foundation is to support the program and equipment needs of the good samaritan health system, the good samaritan hospital of lebanon pennsylvania and its tax-exempt corporation entities, in accordance with their missions.

$327k
Granted FY2025still arriving
1
Grants FY2025still arriving
1
States reached
$323k
Largest
01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20172025.

Health$17M
02FY2025 · 1 grant

Where the money goes

Your grants by size, and where they go.

$322,520
Median grant
1
States reached
$5.3M
Total assets
Largest grants
RecipientAmount
THE GOOD SAMARITAN HOSPITAL OF LEBANON PENNSYLVANIA$322,520
02Your edge
repeat funding

Who you back again

Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.

100%of every dollar goes to organizations you’ve funded before.
$17M · 4 repeat orgs$29k to everyone else

And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +94% since the first grant, against +27% for the ones you funded once.

4 repeat relationships — 1 still active in FY2025, 3 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

4
2

Total granted

$17M
$29k

Median revenue growth · since first grant

+94%
+27%

Still filing today

100%
100%

New vs renewed · share of each year

In FY2025, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

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

First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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

  • TG
    THE GOOD SAMARITAN HOSPITAL OF LEBANON PENNSYLVANIA
    9× · 2017–2025 · $11M · revenue +94%
  • WH
    WELLSPAN HEALTH CARE SERVICES
    2× · 2017–2018 · $6.2M · revenue +317% · 55% of their budget
  • WH
    WELLSPAN HEALTH
    4× · 2020–2023 · $208k · revenue +82%

Funded once

  • P
    PHILHAVENgraduated
    one grant, 2022 · $20k · revenue +27%
  • VH
    VNA HOME HEALTH SERVICES
    one grant, 2019 · $9k · revenue +16%

Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.

03Your field
03the grantee network

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

Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.

Counted here: distinct organizations you funded across 20172025, not grant rows in a single year — so this will not match the grant count on the cover.

1
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
6/6
Grantees still filing
6/6
Grew since you first funded

Where your money sits — by cause, then by grantee

THE GOOD SAMARITAN HOSPITAL OF LEBANON PENNSYLVANIA — $10,739,836 · HealthTHE GOOD SAMARITAN HOSPITAL OF LEBANON PENNSYLVANIAWELLSPAN HEALTH CARE SERVICES — $6,156,102 · HealthWELLSPAN HEALTH CARE SERVICES+3 more — $285,265 · HealthVNA HOME HEALTH SERVICES — $8,900 · Other
Health$17,181,203Other$8,900

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$100Mgrantee revenue →↑ your share of their budgetTHE GOOD SAMARITAN HOSPITAL OF LEBANON PENNSYLVANIA — $10,739,836 over 9y, 1.4% of budgetWELLSPAN HEALTH CARE SERVICES — $6,156,102 over 2y, 55% of budgetWELLSPAN HEALTH — $208,379 over 4y, 0.0% of budgetWELLSPAN MEDICAL GROUP — $56,886 over 2y, 0.0% of budgetPHILHAVEN — $20,000 over 1y, 0.0% of budgetVNA HOME HEALTH SERVICES — $8,900 over 1y, 0.0% of budget
Go grantee by grantee — a decade per org, and how each moved after you funded them

A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.

The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a set of overlaps that mostly run through you, not between each other.

Summit Health FoundationPA13.6× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Summit Health Foundation

Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.

Government reliance of your grantees

Every dot is one organization Good Samaritan Health Services Foundation of Lebanon Pa funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.

2025
202122232425
no gov · 00%0%1%3%5%your 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
    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 · 0–5%
    typical government reliance, FY2025

    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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.

    On method. Every financial figure here is read directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 6 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

    Generated from your IRS Form 990 e-file return for fiscal year 2025, released 2025. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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