· Private foundation
Glazerc Ta
Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2020–2024.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2024
- Under $10k21 grants · $41k
- $10k–50k1 grant · $11k
| Recipient | Amount |
|---|---|
| PENN STATE UNIVERSITY | $11,087 |
| SHIPPENSBURG UNIVERSITY | $9,717 |
| MESSIAH COLLEGE | $5,043 |
| PASSHE COMMONWEALTH UNIVERSITY | $3,000 |
| VIRGINIA TECH UNIVERSITY | $3,000 |
| WILSON COLLEGE | $2,543 |
| WEST VIRGINIA UNIVERSITY | $2,543 |
| SAMFORD UNIVERSITY | $2,000 |
| FORT HOOD COLLEGE | $2,000 |
| SUSQUEHANNA UNIVERSITY | $2,000 |
| YORK COLLEGE OF PENNSYLVANIA | $2,000 |
| ELIZABETHTOWN COLLEGE | $2,000 |
| EMBRY-RIDDLE AERONAUTICAL UNIVERSITY | $543 |
| MONTANA STATE UNIVERSITY | $543 |
| BAYLOR UNIVERSITY | $543 |
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.
Dollar for dollar, your grants (FY20–24) land where the poverty rate runs at 12%, against an area that typically sits at 10%. 55% of your dollars go to grantees based in above-average-need neighborhoods. Your grants spread fairly evenly across need levels.
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.
Which US states your grants reach
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.
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.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +23% since the first grant, against +18% for the ones you funded once.
26 repeat relationships — 17 still active in FY2024, 9 since wound down; 5 grantees were first funded in FY2024 (too recent to call).
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2024, 77% of grant dollars renewed an existing relationship; $12k went to new ones.
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
- MUMESSIAH UNIVERSITY5× · 2020–2024 · $12k · revenue +9%
BAYLOR UNIVERSITY4× · 2021–2024 · $9k · revenue +15%- JCJUNIATA COLLEGE4× · 2021–2024 · $9k · revenue +16%
Funded once
Washington and Lee Universitygraduatedone grant, 2023 · $5k · revenue +58%- UCUNCW CORPORATIONone grant, 2022 · $4k · revenue -13%
- UWUNC WILMINGTONone grant, 2023 · $3k
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.
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For reference, the grantee most central to the portfolio’s shape is King's College and the most unlike its peers is Elizabethtown College. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
Your grantees are a median of 80 years old; the field is 19. You back the established end — and your money leans older still.
The field is 18% startups (under 5 years old) — 0% of your grantees by number, and just 0% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 9% of the field you don’t fund.
Age = years since IRS exemption (a founding proxy). “Closed” = auto-revocation for 3 years of non-filing — a floor on closure, not proof, and bigger established orgs lapse least. Association, not causation.
26 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 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 26 of the 44 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.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
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 MESSIAH UNIVERSITY ↗
- Who funds BAYLOR UNIVERSITY ↗
- Who funds JUNIATA COLLEGE ↗
- Who funds WILSON COLLEGE ↗
- Who funds KING'S COLLEGE ↗
- Who funds EMBRY-RIDDLE AERONAUTICAL UNIVERSITY INC ↗
- Who funds ROLLINS COLLEGE ↗
- Who funds UNIVERSITY OF PITTSBURGH ↗
- Who funds ELIZABETHTOWN COLLEGE ↗
- Who funds LANCASTER BIBLE COLLEGE ↗
- Who funds SAINT FRANCIS UNIVERSITY ↗
- Who funds JOHNS HOPKINS UNIVERSITY ↗
- Who funds Washington and Lee University ↗
- Who funds SUSQUEHANNA UNIVERSITY ↗
- Who funds FRANKLIN & MARSHALL COLLEGE ↗
- Who funds UNCW CORPORATION ↗
- Who funds MOUNT ALOYSIUS COLLEGE ↗
- Who funds DUQUESNE UNIVERSITY OF THE HOLY SPIRIT ↗
- Who funds ALVERNIA UNIVERSITY ↗
- Who funds HIGH POINT UNIVERSITY ↗
- Who funds YORK COLLEGE OF PENNSYLVANIA ↗
- Who funds Samford University ↗
- Who funds LYCOMING COLLEGE ↗
- Who funds WILKES UNIVERSITY ↗
- Who funds CHATHAM UNIVERSITY ↗
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 tightly interlocked camp — most of these funders back each other's grantees too.
Open a dossier: Verizon Foundation · Renaissance Charitable Foundation Inc · American Endowment Foundation · The Bank of America Charitable Foundation Inc · Vanguard Charitable Endowment Program · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile 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 Glazerc Ta 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.
- Johns Hopkins University — 11% of income from government
- Embry-Riddle Aeronautical University Inc — 2% of income from government
- Rollins College — 0% of income from government
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.