· Private foundation
Thornton S Jr and Katrina D Glide Foundation
Its FY2024 filing reports that it accepted unsolicited grant applications.
What you funded, over time
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2017–2024.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2024
- Under $10k202 grants · $875k
- $10k–50k12 grants · $185k
| Recipient | Amount |
|---|---|
| SACRAMENTO ZOO | $48,000 |
| HUNTINGTON HOSPITAL | $30,000 |
| INTERNATIONAL GUIDING EYES INC DBA GUIDE DOGS OF AMERICA AND DBA TENDER LO | $15,000 |
| UNIVERSITY OF CALIFORNIA DAVIS (COVELO CLUB AT UC DAVIS) | $12,000 |
| PERFORMING ANIMAL WELFARE SOCIETY | $10,000 |
| FIX OUR FERALS DBA ANIMAL FIX CLINIC | $10,000 |
| TEXAS CHRISTIAN UNIVERSITY | $10,000 |
| PACIFIC LEGAL FOUNDATION | $10,000 |
| ANIMAL SOLUTIONS KONNECTION FOUNDATION | $10,000 |
| THE ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND (DBA TULANE UNIVERSITY) | $10,000 |
| CHARLIE'S ACRES | $10,000 |
| MAYFIELD SENIOR SCHOOL OF THE HOLY CHILD JESUS | $10,000 |
| PEACEFUL VALLEY DONKEY RESCUE INC | $8,000 |
| HOPE FOR PAWS | $8,000 |
| GREAT DANE RESCUE OF NORTHERN CALIFORNIA | $8,000 |
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 human-services grants (FY18–24, $220k) land where the poverty rate runs at 12%, against an area that typically sits at 10%. 86% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
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 +39% since the first grant, against +18% for the ones you funded once.
264 repeat relationships — 145 still active in FY2024, 119 since wound down; 68 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, 72% of grant dollars renewed an existing relationship; $297k went to new ones.
Where new relationships form · theme of each grantee’s first grant
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
- PHPasadena Hospital Association Ltd8× · 2017–2024 · $240k · revenue +25%
- PHPASADENA HUMANE7× · 2017–2023 · $175k · revenue +25%
- PVPeaceful Valley Donkey Rescue Inc7× · 2017–2024 · $128k · revenue +114%
Funded once
- SHSUNRISE HORSE RESCUEgraduatedone grant, 2020 · $50k · revenue +160%
- EIEQUINE INTERNAL MEDICINE SERVICE UC DAVIS VMTHone grant, 2019 · $49k
- UDUC DAVIS VETERNARIAN TEACHING HOSPITALone grant, 2017 · $46k
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.
C.A.R.E.S.MISSION STATEMENT*Rescue, foster and find good homes for abandoned and homeless domestic and farm animals.*Spay/neuter abandoned and homeless cats and dogs, as well as help low income families with same.*Conduct TNR+ programs to…
Rescue of abused or abandoned animals
Sanctuary for abused or abandoned animals
Animal care and rescue
Animal Welfare
Animal rescue organization dedicated to finding homes for animals at the animal shelter. we also provde vet care foster homes, and assistance with homing for special needs animals.
Animal Rescue
For reference, the grantee most central to the portfolio’s shape is Feeding Pets of the Homeless Aka Pets of the Homeless and the most unlike its peers is Charlies Acres. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
For each theme you fund, this compares how the sector’s money is shifting with how your own giving is shifting.
Sector change and giving change are each shown relative to their own range, growing (right) or shrinking (left); both normalized, so inflation isn’t mistaken for growth.
Your grantees are a median of 22 years old; the field is 14. You back the established end — and your money leans older still.
The field is 24% startups (under 5 years old) — 3% of your grantees by number, and just 2% of your money.
The orgs you fund almost never close — 0.3% lost their exemption, against 14% 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.
364 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. 364 of the 498 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
Showing your 200 largest grantees by grant value.
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 Pasadena Hospital Association Ltd ↗
- Who funds PASADENA HUMANE ↗
- Who funds Peaceful Valley Donkey Rescue Inc ↗
- Who funds PERFORMING ANIMAL WELFARE SOCIETY ↗
- Who funds FixNation Inc ↗
- Who funds Pacific Legal Foundation ↗
- Who funds Hayward Friends of Animals ↗
- Who funds COMMUNITY ALLIANCE WITH FAMILY FARMERS ↗
- Who funds FLUFF BUDDIES ↗
- Who funds VILLA ESPERANZA SERVICES ↗
- Who funds Feline Network of the Central Coast ↗
- Who funds Gold Country Wildlife Rescue Inc ↗
- Who funds FERAL CAT CARETAKERS COALITION ↗
- Who funds CALIFORNIA WOLF CENTER ↗
- Who funds ANIMALS IN NEED FUND ↗
- Who funds SAVE A KITTY INC ↗
- Who funds Club 21 Learning and Resource Center Inc ↗
- Who funds FieldHaven Feline Center ↗
- Who funds Horses' Honor ↗
- Who funds ANIMALSAVE ↗
- Who funds Ken-Mar Rescue ↗
- Who funds VOICE FOR THE ANIMALS ↗
- Who funds AMERICAN WILD HORSE PRESERVATION CAMPAIGN ↗
- Who funds BARKEE LAROUXS HOUSE OF LOVE ANIMAL SANCTUARY INC ↗
- Who funds WILDLIFE REHABILITATION AND RELEASE ASSOC ↗
- Who funds HORSES OF TIR NA NOG ↗
- Who funds THE ARIZONA ANIMAL WELFARE LEAGUE ↗
- Who funds PET PLACE INTERNATIONAL INC ↗
- Who funds SAMMIES FRIENDS ↗
- Who funds FOUNDATION FOR ANIMAL CARE & EDUCATION ↗
- Who funds SUNRISE HORSE RESCUE ↗
- Who funds CARE4Paws Inc ↗
- Who funds El Dorado County Humane Society ↗
- Who funds Downtown Dog Rescue ↗
- Who funds BUTTE HUMANE SOCIETY ↗
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: Mary Jo and Hank Greenberg Animal Welfare Foundation · Thelma Doelger Trust for Animals · Petco Love · The Duffield Family Foundation Dba Maddie's Fund · The Michelson Found Animals Foundation Inc · Ethel Frends Charitable Foundation · Carol and Kent H Landsberg Foundation · Greater Good Charities · The American Society for the Prevention of Cruelty to Animals · BISSELL Pet Foundation · The Winnick Family Foundation Inc · The Summerlee 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 Thornton S Jr and Katrina D Glide Foundation 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.
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.
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Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.