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· Private foundation

Wilsey Foundation

Its FY2026 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$29k
Granted FY2026still arriving
2
Grants FY2026still arriving
2
States reached
$18k
Largest
01What it funds
0197% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

Education$53kReligion$45kAnimals$30kHuman Services$22kHealth$13kScience & Tech$10kCommunity Improvement$6kYouth Development$5kOther$0
02FY2026 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

$18,321
Median grant
2
States reached
$342k
Total assets
Largest grants
RecipientAmount
HUMANE SOCIETY SILICON VALLEY$18,321
CONNRCTICUT COLLEGE$10,382
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:

Its human-services grants (FY19–24, $4k) land where the poverty rate runs at 10%, against an area that typically sits at 7%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%NO TIME TO WASTE: $500 → 8%NO TIME TO WASTE: $500 → 8%NORTH BEACH CITIZENS: $3k → 10%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.

45%of every dollar goes to organizations it has funded before.
$98k · 8 repeat orgs$118k to everyone else

Grantees it renews have grown median revenue +68% since the first grant, against +31% for those funded once.

8 repeat relationships: 1 still active in FY2026, 7 since wound down; 1 grantees were first funded in FY2026 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

8
22

Total granted

$98k
$108k

Median revenue growth · since first grant

+68%
+31%

Still filing today

63%
18%

New vs renewed · share of each year

In FY2026, 64% of grant dollars renewed an existing relationship; $10k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25’26
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18’19’20’21’22’23’24’25’26
Human ServicesAnimalsPhilanthropyEducationArts & CultureHealthOther
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

  • CANDID
    4× · 2017–2020 · $2k · revenue +68%
  • ST
    SIMPLY THE BASICS
    2× · 2017–2018 · $2k · revenue +347%
  • NT
    NO TIME TO WASTE
    2× · 2022–2024 · $1k · revenue +173%

Funded once

  • BEST FRIENDS ANIMAL SOCIETYgraduated
    one grant, 2017 · $13k · revenue +31%
  • CA
    CALIFORNIA ACADEMY OF SCIENCES
    one grant, 2018 · $10k · revenue +4%
  • TS
    THE SALVATION ARMY
    one grant, 2023 · $10k
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

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.

1
The San Francisco Society for the Prevention of Cruelty to Animals

To ensure every companion animal has access to quality medical care, compassionate shelter, and a loving home.

Animals
2
Sutter Bay Hospitals

MISSION STATEMENT: MISSION: CARING FOR OUR PATIENTS FIRST AND OUR PEOPLE ALWAYS. VISION: TO BE THE MOST COMPREHENSIVE, INTEGRATED AND CONNECTED HEALTH SYSTEM FOR GETTING AND STAYING WELL. VALUES: EXCELLENCE - We deliver high-quality,…

Health
3
The San Francisco Particular Council of the Society of St Vincent De Paul

The mission of the st. vincent de paul society of san francisco (svdp-sf) is to offer hope and service on a direct person-to-person basis, working to break the cycles of homelessness and domestic violence.

Human Services
4
Catholic Charities Diocese of San Diego

Catholic Charities provides social services and administers various governmental and social programs. Designed to meet the challenge of the ever-changing community by utilizing spiritual, human and financial resources, our programs enable…

Human Services
5
Society for the Prevention of Cruelty to Animals of Northern Nv

Our mission is to be an innovative regional leader in responsible treatment of homeless dogs and cats, primarily through their rescue and placement in forever loving homes and by promoting spaying and neutering to control pet…

Unclassified
6
Humane Society of the North Bay

Our mission is to provide shelter and compassionate care to our community's animals in need, offer programs that improve thier lives and strengthen the lifelong committment between animals and people.

Animals
7
North Bay Animal Services
Animals
8
North Beach Progressive Animal Welfare Society dba North Beach Paws

Committed to saving the lives of homeless and unwanted dogs and cats by providing shelter or foster care, and to seek permanent, loving homes for them.

Animals
9
Spark Rescue Santa Barbara

It is Spark Rescue's mission to rescue, rehabilitate, medically treat, spay and neuter unwanted dogs and cats and place them into permanent homes. To prevent future un wanted litters we spay the mother of the litter being surrendered. We…

Animals
10
Pets in Need

The mission of pets in need is to provide animals with loving care and lasting homes, to partner with communities striving to do the same, and to advance our no-kill legacy.

Animals
11
California Animal Rescue and Education Sanctuary Inc

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…

—
12
Spay-Neuter Assistance Program Inc

To prevent the suffering and death of companion animals and to enrich the human-animal bond by providing excellent, accessible, and affordable spay/neuter and veterinary care.

Animals
How this is measured
The grantee most central to the portfolio’s shape is Best Friends Animal Society; the most unlike its peers is No Time to Waste. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
04the grantee network

10 grantees tracked through their own filings, 2017–2026.

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 2026, not grant rows in a single year, so this will not match the grant count on the cover. 10 of the 31 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)
3
Early backer (in before they grew)
10/10
Grantees still filing
8/10
Grew since first funded

Where the money sits, by cause and then by grantee

ST IGNATIUS PARISH: $39,698 · OtherST IGNATIUS PARISHTHE SALVATION ARMY: $10,134 · OtherTHE SALVATION ARMYCatholic Charities San Bernardino & Riverside Counties: $7,500 · OtherCatholic Charities San Bernardino & Riverside CountiesALLIANCE OF MISSION DISTRICT: $6,050 · OtherST VINCENT DE PAUL: $5,352 · OtherHOLY ANGELS SCHOOL: $5,272 · OtherGOOD SHEPHERD SCHOOL: $5,157 · OtherOUR LADY OF MERCY: $5,149 · OtherHOLY NAMES SCHOOL: $5,071 · OtherST BRIGID SCHOOL: $5,043 · OtherMERCY HIGH SCHOOL: $5,000 · OtherST PAUL SCHOOL: $5,000 · OtherBOYS HOPE GIRLS HOPE: $5,000 · OtherST VINCENT DE PAUL HIGH SCHOOL: $5,000 · OtherST THOMAS MORE SCHOOL: $5,000 · OtherHOLY NAME SCHOOL: $4,848 · OtherST VINCENT DE PAUL ELEMENTARY SCHOOL: $4,777 · Other+5 more: $9,000 · Other+5 moreHUMANE SOCIETY SILICON VALLEY: $35,235 · AnimalsHUMANE SOCIETY SILICON VA…BEST FRIENDS ANIMAL SOCIETY: $12,679 · AnimalsBEST FRIENDS ANIMAL SOCIE…CONNECTICUT COLLEGE: $10,382 · EducationCALIFORNIA ACADEMY OF SCIENCES: $10,358 · Arts & CultureNORTH BEACH CITIZENS: $2,528 · Human ServicesSIMPLY THE BASICS: $2,000 · Human ServicesNO TIME TO WASTE: $1,000 · Human ServicesHomeless Prenatal Program Inc: $2,499 · HealthCANDID: $2,000 · Philanthropy
Other$138,051Animals$47,914Education$10,382Arts & Culture$10,358Human Services$5,528Health$2,499Philanthropy$2,000

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetHUMANE SOCIETY SILICON VALLEY: $35,235 over 2y, 0.1% of budgetBEST FRIENDS ANIMAL SOCIETY: $12,679 over 1y, 0.0% of budgetCALIFORNIA ACADEMY OF SCIENCES: $10,358 over 1y, 0.0% of budgetCatholic Charities San Bernardino & Riverside Counties: $7,500 over 2y, 0.1% of budgetNORTH BEACH CITIZENS: $2,528 over 1y, 0.3% of budgetHomeless Prenatal Program Inc: $2,499 over 1y, 0.0% of budgetCANDID: $2,000 over 4y, 0.0% of budgetSIMPLY THE BASICS: $2,000 over 2y, 1.0% of budgetNO TIME TO WASTE: $1,000 over 2y, 0.6% 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 HUMANE SOCIETY SILICON VALLEY ↗
  • Who funds BEST FRIENDS ANIMAL SOCIETY ↗
  • Who funds CONNECTICUT COLLEGE ↗
  • Who funds CALIFORNIA ACADEMY OF SCIENCES ↗
  • Who funds Catholic Charities San Bernardino & Riverside Counties ↗
  • Who funds NORTH BEACH CITIZENS ↗
  • Who funds Homeless Prenatal Program Inc ↗
  • Who funds CANDID ↗
  • Who funds SIMPLY THE BASICS ↗
  • Who funds NO TIME TO WASTE ↗

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 tightly interlocked group: most of these funders back each other's grantees too.

Trust Funds IncorporatedCA13.6× affinity4 shared granteesties to 3 of 3Hover any node to trace its alignments.Compare side by side →

Open a dossier: Trust Funds Incorporated · American Online Giving Foundation Inc · Donor Advised Charitable Giving Inc · 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 Wilsey Foundation funds: left to right is the share of its income from government, bottom to top the share from Wilsey Foundation. 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%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    3report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Wilsey Foundation?

    Find your warmest path to Wilsey 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.

    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 31 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 2026, released 2026. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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