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· Private foundation

Lesher M Tuw M & I Lesher Fdn

Its FY2025 filing reports that it accepted unsolicited grant applications.

$221k
Granted FY2025still arriving
20
Grants FY2025still arriving
1
States reached
$13k
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, FY2017 to 2025.

Education$1.8MPublic Benefit$15k
02FY2025 · 20 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k3 grants · $10k
  • $10k–50k17 grants · $212k
$12,661
Median grant
1
States reached
$2.7M
Total assets
Largest grants
RecipientAmount
GAGE B JORDAN CO PNC BANK$12,861
CASSIDY L MCCULLOUGH CO PNC BANK$12,761
SAVANA J LIBECCO CO PNC BANK$12,761
QUINN A GRABINSKI-POTTER CO PNC BANK$12,661
TREYVIN L ACKERMAN CO PNC BANK$12,661
EMMA M WEAVER CO PNC BANK$12,661
GEORGIA A CARMICHAEL CO PNC BANK$12,661
AVA B STRAUSER CO PNC BANK$12,661
LUKE T WILSON CO PNC BANK$12,661
COLE J DAVIS CO PNC BANK$12,661
GRACE HENRY CO PNC BANK$12,661
COLE H WIANT CO PNC BANK$12,661
KIRA HETRICK CO PNC BANK$12,661
LUKE A DAVIS CO PNC BANK$12,661
Individual grant recipient$11,916
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 (FY17–25) land where the poverty rate runs at 13%, against an area that typically sits at 10%. 95% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%BUTLER COUNTY COMMUNITY COLLEGE: $4k → 9%WESTMORELAND COUNTY: $8k → 10%SCHOLARDHIPS TO QUALIFIED RECIPIENTS: $166k → 11%PENNSYLVANIA COLLEGE OF TECHNOLOGY: $14k → 12%THIEL COLLEGE: $7k → 13%WESTMINSTER COLLEGE: $8k → 13%CLARION UNIVERSITY: $79k → 14%INDIANA UNIVERSITY OF PA: $16k → 14%GREAT LAKES INSTITUTE OF: $7k → 15%PENNSYLVANIA STATE UNIVERSITY: $18k → 16%MOUNT ALOYSIUS COLLEGE: $8k → 16%GALLAUDET UNIVERSITY: $8k → 14%YOUNGSTOWN STATE UNIVERSITY: $35k → 19%SLIPPERY ROCK UNIVERSITY: $14k → 9%WESTMORELAND COUNTY: $7k → 10%UNIVERISTY OF PITTSBURGH: $7k → 11%PENNSYLVANIA COLLEGE OF TECHNOLOGY: $8k → 12%WESTMINSTER COLLEGE: $7k → 13%CLARION UNIVERSITY: $42k → 14%PENNSYLVANIA STATE UNIVERSITY: $8k → 16%MOUNT ALOYSIUS COLLEGE: $7k → 16%GALLAUDET UNIVERSITY: $7k → 14%YOUNGSTOWN STATE UNIVERSITY: $8k → 19%GAGE B JORDAN CO PNC BANK: $13k → 11%SAVANA J LIBECCO CO PNC BANK: $13k → 11%CASSIDY L MCCULLOUGH CO PNC BANK: $13k → 11%QUINN A GRABINSKI-POTTER CO PNC BANK: $13k → 11%AVA B STRAUSER CO PNC BANK: $13k → 11%LUKE T WILSON CO PNC BANK: $13k → 11%LUKE A DAVIS CO PNC BANK: $13k → 11%GRACE HENRY CO PNC BANK: $13k → 11%EMMA M WEAVER CO PNC BANK: $13k → 11%COLE J DAVIS CO PNC BANK: $13k → 11%GEORGIA A CARMICHAEL CO PNC BANK: $13k → 11%KIRA HETRICK CO PNC BANK: $13k → 11%COLE H WIANT CO PNC BANK: $13k → 11%TREYVIN L ACKERMAN CO PNC BANK: $13k → 11%MOLLEE MCCULLOUGH: $12k → 11%HAYDEN SMITH: $12k → 11%MARISSA D SMITH CO PNC BANK: $10k → 11%MAGEN WALZAK: $5k → 11%CLAIRE A DIGIAMMARINO CO PNC BANK: $3k → 11%OWEN BISH: $1k → 11%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.

58%of every dollar goes to organizations it has funded before.
$1.0M · 28 repeat orgs$753k to everyone else

28 repeat relationships: 2 still active in FY2025, 26 since wound down; 18 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

28
33

Total granted

$1.0M
$549k

Median revenue growth · since first grant

+18%
+151%

Still filing today

14%
6%

New vs renewed · share of each year

In FY2025, 8% of grant dollars renewed an existing relationship; $204k 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

  • WC
    WESTMINSTER COLLEGE
    2× · 2018–2019 · $15k · revenue +13%
  • GU
    GANNON UNIVERSITY
    2× · 2018–2019 · $15k · revenue +18%
  • GU
    GALLAUDET UNIVERSITY
    2× · 2018–2019 · $15k · revenue +18%

Funded once

  • ST
    SCHOLARDHIPS TO QUALIFIED RECIPIENTS
    one grant, 2017 · $166k
  • IG
    Individual grant recipient
    one grant, 2022 · $27k
  • IG
    Individual grant recipient
    one grant, 2022 · $27k
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

6 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. 6 of the 79 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)
0
Early backer (in before they grew)
6/6
Grantees still filing
6/6
Grew since first funded

Where the money sits, by cause and then by grantee

SCHOLARDHIPS TO QUALIFIED RECIPIENTS: $166,409 · OtherSCHOLARDHIPS TO QUALIFIED RECIPIENTSCLARION UNIVERSITY: $120,634 · OtherCLARION UNIVERSITYIndividual grant recipient: $71,062 · OtherIndividual grant recipient: $69,357 · OtherIndividual grant recipient: $64,916 · OtherIndividual grant recipient: $61,949 · OtherIndividual grant recipient: $59,698 · Other+66 more: $1,111,611 · Other+66 moreWESTMINSTER COLLEGE: $14,804 · EducationGANNON UNIVERSITY: $14,804 · EducationGALLAUDET UNIVERSITY: $14,804 · EducationMOUNT ALOYSIUS COLLEGE: $14,804 · EducationUNIVERSITY OF PITTSBURGH: $6,949 · EducationTHIEL COLLEGE: $6,949 · Education
Other$1,725,636Education$73,114

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

25%50%75%100%$100Mgrantee revenue →↑ funder's share of their budgetWESTMINSTER COLLEGE: $14,804 over 2y, 0.0% of budgetGANNON UNIVERSITY: $14,804 over 2y, 0.0% of budgetGALLAUDET UNIVERSITY: $14,804 over 2y, 0.0% of budgetMOUNT ALOYSIUS COLLEGE: $14,804 over 2y, 0.0% of budgetUNIVERSITY OF PITTSBURGH: $6,949 over 1y, 0.0% of budgetTHIEL COLLEGE: $6,949 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 WESTMINSTER COLLEGE ↗
  • Who funds GANNON UNIVERSITY ↗
  • Who funds GALLAUDET UNIVERSITY ↗
  • Who funds MOUNT ALOYSIUS COLLEGE ↗

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 FoundationWA2.7× 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 Lesher M Tuw M & I Lesher Fdn funds: left to right is the share of its income from government, bottom to top the share from Lesher M Tuw M & I Lesher Fdn. 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%4%8%11%15%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 · 0–15%
    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 79 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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