· Private foundation
John R Peterson Foundation
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.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2020–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k11 grants · $23k
- $10k–50k1 grant · $38k
- $50k–250k6 grants · $923k
| Recipient | Amount |
|---|---|
| San Diego Humane Society | $231,500 |
| PetFix Spay and Neuter | $194,608 |
| Los Angeles County Animal Care Foundation | $173,000 |
| Aloha lio Rescue | $115,011 |
| Lucky Dog Animal Rescue | $108,000 |
| Good Cat Network | $100,832 |
| Kauai Humane Society | $38,000 |
| Kauai SPCA | $6,195 |
| HIT Living Dog Rescue | $2,521 |
| Individual grant recipient | $2,060 |
| Mother of Dragons Rescue | $2,000 |
| Individual grant recipient | $2,000 |
| Southeast German Shorthaired Pointer Rescue | $2,000 |
| Paws for Life K9 Rescue | $1,800 |
| PAWSLA | $1,718 |
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 (FY25–25, $2k) land where the poverty rate runs at 14%, against an area that typically sits at 11%. 100% 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.
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 +81% since the first grant, against +21% for the ones you funded once.
11 repeat relationships — 8 still active in FY2025, 3 since wound down; 10 grantees were first funded in FY2025 (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 FY2025, 88% of grant dollars renewed an existing relationship; $118k 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
- SDSAN DIEGO HUMANE SOCIETY AND SPCA6× · 2020–2025 · $851k · revenue +48%
- PSPETFIX SPAY AND NEUTER4× · 2022–2025 · $585k · revenue +144% · 54% of their budget
- AIAloha Ilio Rescue4× · 2022–2025 · $331k · revenue +222%
Funded once
- FCFirst Coast No More Homeless Animalsone grant, 2024 · $86k
- SCSPOKANIMAL CAREone grant, 2024 · $53k · revenue 0%
- SASPAY-NEUTER ACTION PROJECTgraduatedone grant, 2020 · $50k · revenue +113%
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.
To help injured, abandoned and unwanted animals. We provide food, vet care that includes heartworm prevention and spay or neuter services, shelter and anything else needed.
To humanely reduce the number of free roaming cats on Hawaii island through spay/neuter clinics, TNR programs and provide refuge by establishing a tourist friendly cat sanctuary.
For our community we provide high quality low cost spay and neuter services as well as low cost vaccinations. we do have programs that allows us to help the families that have pets but are in financial strain and not able to have their…
Find homes for homeless/abandoned dogs. Provide full vet car and housing while awaiting adoption,
Animal Rescue
To rescue abandoned and displaced cats and dogs, bring them back to health, provide all medical and prepare them for their new home
we are a small animal rescue. We help the community by assisting with vet care and rehoming animals they cannot keep. We also pull dogs cats kittens and puppies from local kill shelters when they run out of space, we provide those animals…
Cat rescue spay/ nueter
Decrease over population of feral cats by trapping and doing spay or neuter. Provide veterinarian care to kittens. Take owner relinquishments of pets they can no longer care for. Taking in abandoned animals and providing veterinary care.…
For reference, the grantee most central to the portfolio’s shape is Maui Humane Society and the most unlike its peers is Lionel S Legacy Inc. 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 12 years old; the field is 12. You back the younger end — and your money leans older still.
The field is 25% startups (under 5 years old) — 10% of your grantees by number, and just 6% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 15% 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.
22 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. 22 of the 32 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 SAN DIEGO HUMANE SOCIETY AND SPCA ↗
- Who funds LUCKY DOG ANIMAL RESCUE ↗
- Who funds PETFIX SPAY AND NEUTER ↗
- Who funds Aloha Ilio Rescue ↗
- Who funds Kauai SPCA ↗
- Who funds LOS ANGELES COUNTY ANIMAL CARE FOUNDATION ↗
- Who funds MAUI HUMANE SOCIETY ↗
- Who funds LANAI CAT SANCTUARY ↗
- Who funds KAUAI HUMANE SOCIETY INC ↗
- Who funds Good Cat Network ↗
- Who funds SPOKANIMAL CARE ↗
- Who funds SPAY-NEUTER ACTION PROJECT ↗
- Who funds LIONEL S LEGACY INC ↗
- Who funds FROSTED FACES FOUNDATION INC ↗
- Who funds HAWAII ISLAND HUMANE SOCIETY SPCA ↗
- Who funds ORPHAN KITTEN CLUB INC ↗
- Who funds SOUTHEAST GERMAN SHORTHAIRED POINTER RESCUE INC ↗
- Who funds PAWS FOR LIFE K9 RESCUE ↗
- Who funds PETS ARE WONDERFUL SUPPORT LOS ANGELES ↗
- Who funds CAROLINA LOVING HOUND RESCUE ↗
- Who funds Foothills Humane Society Inc ↗
- Who funds PET RESCUE SOLUTIONS ↗
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: Greater Good Charities · Petco Love · Petsmart Charities Inc · Banfield Foundation · Best Friends Animal Society · The Duffield Family Foundation Dba Maddie's Fund · Sempra Foundation · Pedigree Foundation · Jewish Community Foundation of San Diego · The Grey Muzzle Organization · Deupree Family Foundation · BISSELL Pet 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 John R Peterson 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.
Warm introductions · Powered by PlinthPlus
How do I get to John R Peterson Foundation?
Find your warmest path to John R Peterson Foundation through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.
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.