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Plinth

· Private foundation

Secrist Family Charitable Foundation Co Pnc

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.

$211k
Granted FY2025still arriving
9
Grants FY2025still arriving
4
States reached
$89k
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 FY20202025.

Health$607kEducation$489kHuman Services$88kPhilanthropy$68kReligion$28k
02FY2025 · 9 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2025

  • Under $10k2 grants · $8k
  • $10k–50k6 grants · $115k
  • $50k–250k1 grant · $89k
$14,752
Median grant
4
States reached
$4.0M
Total assets
Largest grants
RecipientAmount
PENNSYLVANIA STATE UNIVERSITY$88,597
CAMP CAN DO 2014 INC$29,525
GEISINGER HEALTH SYSTEMS FDN$29,525
RONALD MCDONALD HOUSE$14,752
AMERICAN CANCER SOCIETY$14,752
HARRISBURG AREA COMMUNITY COLLEGE$14,752
BLOOD CANCER UNITED INC$11,480
CRYSTAL CATHEDRAL MINISTRIES$4,692
UPMC PINNACLE FOUNDATION$3,272
02The need
03

Do your dollars go where the need is?

Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.

show:

Dollar for dollar, your grants (FY20–25) land where the poverty rate runs at 12%, against an area that typically sits at 7%. 83% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 7%CAMP CAN DO 2014 INC: $54k → 6%GEISINGER HEALTH SYSTEMS FDN: $33k → 10%HARRISBURG AREA COMMUNITY COLLEGE: $16k → 12%PENNSYLVANIA STATE UNIVERSITY: $89k → 16%THE LEUKEMIA & LYMPHOMA SOC: $17k → 9%BLOOD CANCER UNITED INC: $11k → 14%CAMP CAN DO 2014 INC: $29k → 6%GEISINGER HEALTH SYSTEMS FDN: $30k → 10%HARRISBURG AREA COMMUNITY COLLEGE: $15k → 12%PENNSYLVANIA STATE UNIVERSITY: $75k → 16%THE LEUKEMIA & LYMPHOMA SOC: $15k → 9%CAMP CAN DO 2014 INC: $29k → 6%GEISINGER HEALTH SYSTEMS FDN: $29k → 10%HARRISBURG AREA COMMUNITY COLLEGE: $15k → 12%PENNSYLVANIA STATE UNIVERSITY: $66k → 16%THE LEUKEMIA & LYMPHOMA SOC: $14k → 9%CAMP CAN DO 2014 INC: $28k → 6%GEISINGER HEALTH SYSTEMS FDN: $29k → 10%HARRISBURG AREA COMMUNITY COLLEGE: $14k → 12%PENNSYLVANIA STATE UNIVERSITY: $58k → 16%THE LEUKEMIA & LYMPHOMA SOC: $7k → 9%CAMP CAN DO 2014 INC: $27k → 6%GEISINGER HEALTH SYSTEMS FDN: $28k → 10%HARRISBURG AREA COMMUNITY COLLEGE: $14k → 12%PENNSYLVANIA STATE UNIVERSITY: $57k → 16%THE LEUKEMIA & LYMPHOMA SOC: $4k → 9%CAMP CAN DO 2014 INC: $30k → 6%GEISINGER HEALTH SYSTEMS FDN: $27k → 10%HARRISBURG AREA COMMUNITY COLLEGE: $14k → 12%PENNSYLVANIA STATE UNIVERSITY: $56k → 16%THE FOUR DIAMONDS FUND: $33k → 12%THE FOUR DIAMONDS FUND: $29k → 16%THE FOUR DIAMONDS FUND: $28k → 12%THE FOUR DIAMONDS FUND: $29k → 16%RONALD MCDONALD HOUSE: $16k → 12%RONALD MCDONALD HOUSE: $15k → 12%RONALD MCDONALD HOUSE: $15k → 12%RONALD MCDONALD HOUSE: $14k → 12%RONALD MCDONALD HOUSE: $14k → 12%RONALD MCDONALD HOUSE: $14k → 12%THE FOUR DIAMONDS FUND: $7k → 12%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.

US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.

03Your 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.

99%of every dollar goes to organizations you’ve funded before.
$1.3M · 11 repeat orgs$11k to everyone else

And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +135% since the first grant, against 0% for the ones you funded once.

11 repeat relationships — 8 still active in FY2025, 3 since wound down; 1 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

11
1

Total granted

$1.3M
$11k

Median revenue growth · since first grant

+135%
0%

Still filing today

27%
100%

New vs renewed · share of each year

In FY2025, 95% of grant dollars renewed an existing relationship; $11k went to new ones.

50%100%’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

  • PS
    PENNSYLVANIA STATE UNIVERSITY
    6× · 2020–2025 · $401k
  • CC
    CAMP CAN DO 2014 INC
    6× · 2020–2025 · $197k · revenue +135% · 42% of their budget
  • GH
    GEISINGER HEALTH SYSTEMS FDN
    6× · 2020–2025 · $176k

Funded once

  • BC
    BLOOD CANCER UNITED INC
    one grant, 2025 · $11k · revenue 0%

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

04Your field
04the grantee network

4 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. 4 of the 12 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

1
Load-bearing (≥25% of a budget)
2
Early backer (in before they grew)
4/4
Grantees still filing
2/4
Grew since you first funded

Where your money sits — by cause, then by grantee

PENNSYLVANIA STATE UNIVERSITY — $401,220 · OtherPENNSYLVANIA STATE UNIVERSITYGEISINGER HEALTH SYSTEMS FDN — $175,585 · OtherGEISINGER HEALTH SYSTEMS FDNTHE FOUR DIAMONDS FUND — $125,661 · OtherTHE FOUR DIAMONDS FUNDHARRISBURG AREA COMMUNITY COLLEGE — $87,729 · OtherHARRISBURG AREA COMMUNITY COLLEGERONALD MCDONALD HOUSE — $87,729 · OtherRONALD MCDONALD HOUSETHE LEUKEMIA & LYMPHOMA SOC — $56,631 · OtherTHE LEUKEMIA & LYMPHOMA SOC+2 more — $56,736 · Other+2 moreCAMP CAN DO 2014 INC — $197,013 · HealthCAMP CAN DO 2014 INCAMERICAN CANCER SOCIETY INC — $58,896 · HealthAMERICAN CANCER SOCIETY I…UPMC PINNACLE FOUNDATION — $20,350 · HealthUPMC PINNACLE FOUNDATIONBLOOD CANCER UNITED INC — $11,480 · Health
Other$991,291Health$287,739

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetCAMP CAN DO 2014 INC — $197,013 over 6y, 42% of budgetAMERICAN CANCER SOCIETY INC — $58,896 over 4y, 0.0% of budgetUPMC PINNACLE FOUNDATION — $20,350 over 3y, 0.2% of budgetBLOOD CANCER UNITED INC — $11,480 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.

  • Who funds CAMP CAN DO 2014 INC
  • Who funds AMERICAN CANCER SOCIETY INC
  • Who funds UPMC PINNACLE FOUNDATION
  • Who funds BLOOD CANCER UNITED INC

Government reliance of your grantees

Every dot is one organization Secrist Family Charitable Foundation Co Pnc 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.

2023
202122232425
no gov · 00%3%13%28%50%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
    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 12 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-PF 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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