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· 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 it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2025.

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

Where the money goes

Grants by size, and the largest recipients.

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
GEISINGER HEALTH SYSTEMS FDN$29,525
CAMP CAN DO 2014 INC$29,525
AMERICAN CANCER SOCIETY$14,752
HARRISBURG AREA COMMUNITY COLLEGE$14,752
RONALD MCDONALD HOUSE$14,752
BLOOD CANCER UNITED INC$11,480
CRYSTAL CATHEDRAL MINISTRIES$4,692
UPMC PINNACLE FOUNDATION$3,272
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:

Dollar for dollar, its grants (FY20–25) land where the poverty rate runs at 12%, against an area that typically sits at 8%. 83% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%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
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.

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

Grantees it renews have grown median revenue +135% since the first grant, against 0% for those 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
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

  • 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%
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

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. 4 of the 12 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.

1
Load-bearing (≥25% of a budget)
2
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

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 FUNDRONALD MCDONALD HOUSE: $87,729 · OtherRONALD MCDONALD HOUSEHARRISBURG AREA COMMUNITY COLLEGE: $87,729 · OtherHARRISBURG AREA COMMUNITY COLLEGETHE 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 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 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
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 CAMP CAN DO 2014 INC ↗
  • Who funds AMERICAN CANCER SOCIETY INC ↗
  • Who funds UPMC PINNACLE FOUNDATION ↗
  • Who funds BLOOD CANCER UNITED INC ↗

How much its grantees rely on government

Each dot is one organization Secrist Family Charitable Foundation Co Pnc funds: left to right is the share of its income from government, bottom to top the share from Secrist Family Charitable Foundation Co Pnc. Bigger dots raise more.

2023
’20’21’22’23’24’25
no gov · 00%3%13%28%50%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
    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.

    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 12 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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