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Plinth

· Private foundation

Peter F & Mary H Loftus Fdn

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.

$15k
Granted FY2025still arriving
9
Grants FY2025still arriving
4
States reached
$5k
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.

Education$83kHealth$25kReligion$12kPhilanthropy$12k
02FY2025 · 9 grants

Where the money goes

Your grants by size, and where they go.

$1,377
Median grant
4
States reached
$285k
Total assets
Largest grants
RecipientAmount
CAPITAL UNIVERSITY$5,258
CARNEGIE MELLON UNIVERSITY$1,379
MILLIKEN UNIVERSITY$1,379
DUQUESNE UNIVERSITY$1,377
UPMC MERCY$1,377
HEPBURN MEDICAL CENTER$1,377
THE PITTSBURGH FOUNDATION$1,377
ST PATRICKS CHURCH$689
ST MICHAEL THE ARCHANGEL$689
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.

Your US giving68% of grant dollars ($90k). The need read here covers only this US portion; the 32% that went abroad ($42k) is mapped below.

show:

Dollar for dollar, your grants (FY17–25) land where the poverty rate runs at 13%, against an area that typically sits at 11%. 100% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 11%HEPBURN MEDICAL CENTER: $2k → 18%CAPITAL UNIVERSITY: $5k → 15%MILLIKEN UNIVERSITY: $2k → 15%HEPBURN MEDICAL CENTER: $1k → 18%MILLIKEN UNIVERSITY: $1k → 15%HEPBURN MEDICAL CENTER: $1k → 18%MILLIKEN UNIVERSITY: $1k → 15%HEPBURN MEDICAL CENTER: $1k → 18%MILLIKEN UNIVERSITY: $1k → 15%HEPBURN MEDICAL CENTER: $1k → 18%MILLIKEN UNIVERSITY: $1k → 15%HEPBURN MEDICAL CENTER: $1k → 18%MILLIKEN UNIVERSITY: $1k → 15%HEPBURN MEDICAL CENTER: $1k → 18%MILLIKEN UNIVERSITY: $1k → 15%HEPBURN MEDICAL CENTER: $1k → 18%MILLIKEN UNIVERSITY: $1k → 15%THE PITTSBURGH FOUNDATION: $2k → 11%THE PITTSBURGH FOUNDATION: $1k → 11%THE PITTSBURGH FOUNDATION: $1k → 11%THE PITTSBURGH FOUNDATION: $1k → 11%THE PITTSBURGH FOUNDATION: $1k → 11%THE PITTSBURGH FOUNDATION: $1k → 11%THE PITTSBURGH FOUNDATION: $1k → 11%THE PITTSBURGH FOUNDATION: $1k → 11%CARNEGIE MELLON UNIVERSITY: $2k → 11%CARNEGIE MELLON UNIVERSITY: $1k → 11%CARNEGIE MELLON UNIVERSITY: $1k → 11%CARNEGIE MELLON UNIVERSITY: $1k → 11%CARNEGIE MELLON UNIVERSITY: $1k → 11%CARNEGIE MELLON UNIVERSITY: $1k → 11%CARNEGIE MELLON UNIVERSITY: $1k → 11%CARNEGIE MELLON UNIVERSITY: $1k → 11%UPMC MERCY: $2k → 11%UPMC MERCY: $2k → 11%DUQUESNE UNIVERSITY: $2k → 11%DUQUESNE UNIVERSITY: $1k → 11%UPMC MERCY: $1k → 11%DUQUESNE UNIVERSITY: $1k → 11%UPMC MERCY: $1k → 11%DUQUESNE UNIVERSITY: $1k → 11%DUQUESNE UNIVERSITY: $1k → 11%UPMC MERCY: $1k → 11%DUQUESNE UNIVERSITY: $1k → 11%UPMC MERCY: $1k → 11%UPMC MERCY: $1k → 11%DUQUESNE UNIVERSITY: $1k → 11%DUQUESNE UNIVERSITY: $1k → 11%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.

Beyond the US32% of all-years giving ($42k)

1 country, by the recipient’s country on the filing.

grant dollars sentlessmore
Canada$42k · 8 grants

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. International giving is mapped by the recipient’s country from the same 990filings; comparable need data isn’t available at that grain.

04

Where the work is directed

The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.

About 5% of Peter F & Mary H Loftus Fdn’s grant dollars are earmarked, by their stated purpose, for a different county than the recipient’s own address — money that lands at a nonprofit in one place but is meant to do its work in another.

Peter F & Mary H Loftus Fdnlessmore of its giving
Placed by recipient address · 32% directed abroad (not shown)

Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the foundation’s own 990 grant descriptions.

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.

95%of every dollar goes to organizations you’ve funded before.
$114k · 8 repeat orgs$6k to everyone else

And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +29% since the first grant, against 0% for the ones you funded once.

8 repeat relationships — 6 still active in FY2025, 2 since wound down; 2 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

8
2

Total granted

$114k
$6k

Median revenue growth · since first grant

+29%
0%

Still filing today

50%
50%

New vs renewed · share of each year

In FY2025, 56% of grant dollars renewed an existing relationship; $6k 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
EducationHealthOther

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

  • CM
    Carnegie Mellon University
    9× · 2017–2025 · $12k · revenue +15%
  • CM
    CLAXTON-HEPBURN MEDICAL CENTER
    9× · 2017–2025 · $12k · revenue +39%
  • DU
    DUQUESNE UNIVERSITY OF THE HOLY SPIRIT
    9× · 2017–2025 · $12k · revenue +29%

Funded once

  • CU
    CAPITAL UNIVERSITY
    one grant, 2025 · $5k · revenue 0%
  • SM
    ST MICHAEL THE ARCHANGEL
    one grant, 2025 · $689

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

04Your field
05the 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. 6 of the 11 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.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
6/6
Grantees still filing
4/6
Grew since you first funded

Where your money sits — by cause, then by grantee

ST PAUL UNIVERSITY — $41,565 · OtherST PAUL UNIVERSITYUPMC — $12,429 · OtherUPMCCarnegie Mellon University — $12,096 · OtherCarnegie Mellon UniversityST PATRICKS CHURCH — $6,048 · OtherST PATRICKS CHURCHST BERNARD'S CHURCH — $5,359 · OtherST BERNARD'S CHURCH+1 more — $689 · OtherMILLIKIN UNIVERSITY — $12,096 · EducationMILLIKIN UNIVERSITYDUQUESNE UNIVERSITY OF THE HOLY SPIRIT — $12,082 · EducationDUQUESNE UNIVERSITY OF TH…CAPITAL UNIVERSITY — $5,258 · EducationCAPITAL UNIVERSITYTHE PITTSBURGH FOUNDATION — $12,082 · PhilanthropyTHE PITTSB…CLAXTON-HEPBURN MEDICAL CENTER — $12,082 · HealthCLAXTON-HE…
Other$78,186Education$29,436Philanthropy$12,082Health$12,082

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

25%50%75%100%grantee revenue →↑ your share of their budgetMILLIKIN UNIVERSITY — $12,096 over 9y, 0.0% of budgetCarnegie Mellon University — $12,096 over 9y, 0.0% of budgetTHE PITTSBURGH FOUNDATION — $12,082 over 9y, 0.0% of budgetCLAXTON-HEPBURN MEDICAL CENTER — $12,082 over 9y, 0.0% of budgetDUQUESNE UNIVERSITY OF THE HOLY SPIRIT — $12,082 over 9y, 0.0% of budgetCAPITAL UNIVERSITY — $5,258 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 MILLIKIN UNIVERSITY
  • Who funds Carnegie Mellon University
  • Who funds THE PITTSBURGH FOUNDATION
  • Who funds CLAXTON-HEPBURN MEDICAL CENTER
  • Who funds DUQUESNE UNIVERSITY OF THE HOLY SPIRIT
  • Who funds CAPITAL UNIVERSITY

Government reliance of your grantees

Every dot is one organization Peter F & Mary H Loftus Fdn 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%0%1%3%5%your share of their income ↑0%5%10%15%20%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 · 0–20%
    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 11 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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