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Parley Foundation at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

Parley Foundation

To develop, organize, and implement various "parley" conferences.

$132k
Granted FY2024still arriving
3
Grants FY2024still arriving
1
States reached
$50k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2018 to 2024.

Environment$380kAnimals$100kPhilanthropy$62kArts & Culture$56kEducation$50kScience & Tech$25kHuman Services$14k
02FY2024 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 3 grants below total $125,000, the rows itemized in this filing. The $132,245 headline is the total grant expense on the return; the other $7,245 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2024

  • $10k–50k1 grant · $25k
  • $50k–250k2 grants · $100k
$50,000
Median grant
1
States reached
$192k
Total assets
Largest grants
RecipientAmount
SUSTAINABLE COASTLINES$50,000
PARLEY SOUTH AFRICIA$50,000
MEGALAB SERVICES$25,000
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 (FY22–22, $14k) land where the poverty rate runs at 11%, against an area that typically sits at 10%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%SOCIAL SPLIT FOUNDATION: $14k → 11%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 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
Schmidt Ocean Institute
Science & Tech
2
Global Foundation for Oceanographic & Atmospheric Research Inc
Philanthropy
3
Oceanit Research Foundation
Science & Tech
4
Ocean Research and Educational
Science & Tech
5
Green Ocean Foundation
Philanthropy
6
OurBlueSeas
Philanthropy
7
The Coral Reef and Marine Science Foundation Inc C/O James Bildner
—
8
Sea Change Foundation
Human Services
9
Ocean Conservancy

Ocean conservancy unites science, people, and policy to protect our ocean, today and for generations to come.

Environment
10
Clean Reefs
Environment
11
Khaled Bin Sultan Living Oceans Foundation
Environment
12
Ocean Alliance Project

Protecting and promoting the marine biodiversity of Hawai'i through coral restoration, ecological monitoring, regenerative tourism, and cultural integration

Science & Tech
How this is measured
The grantee most central to the portfolio’s shape is Oceanic Preservation Society; the most unlike its peers is Blue Ocean Foundation. 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

9 grantees tracked through their own filings, 2017–2025.

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 2025, not grant rows in a single year, so this will not match the grant count on the cover. 9 of the 10 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.

1
Load-bearing (≥25% of a budget)
2
Early backer (in before they grew)
8/9
Grantees still filing
8/9
Grew since first funded

Where the money sits, by cause and then by grantee

Oceanic Preservation Society: $185,000 · EnvironmentOceanic Preservation SocietySUSTAINABLE COASTLINES HAWAI'I: $150,000 · EnvironmentSUSTAINABLE COASTLINES HAWAI'I+1 more: $10,000 · EnvironmentSEA SHEPHERD CONSERVATION SOCIETY: $100,000 · AnimalsSEA SHEPHERD CONSERVAT…EARTH LEAGUE INTERNATIONAL: $35,000 · AnimalsEARTH LEAGUE INTERNATI…BLUE OCEAN FOUNDATION: $62,469 · OtherBLUE OCEAN FOUNDAT…PARLEY SOUTH AFRICIA: $50,000 · OtherPARLEY SOUTH AFRIC…SMITHSONIAN INSTITUTION: $55,555 · Arts & CultureSMITHSONI…MEGA LAB: $25,000 · Science & TechSOCIAL SPIN FOUNDATION: $13,999 · Human Services
Environment$345,000Animals$135,000Other$112,469Arts & Culture$55,555Science & Tech$25,000Human Services$13,999

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

25%50%75%100%$100k$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetOceanic Preservation Society: $185,000 over 2y, 8.3% of budgetSUSTAINABLE COASTLINES HAWAI'I: $150,000 over 3y, 6.4% of budgetSEA SHEPHERD CONSERVATION SOCIETY: $100,000 over 1y, 0.7% of budgetSMITHSONIAN INSTITUTION: $55,555 over 1y, 0.0% of budgetEARTH LEAGUE INTERNATIONAL: $35,000 over 1y, 5.8% of budgetMEGA LAB: $25,000 over 1y, 31% of budgetSOCIAL SPIN FOUNDATION: $13,999 over 1y, 6.0% of budgetPROTECT OUR WINTERS: $10,000 over 1y, 0.2% 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.

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 set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile Foundation
Amazonsmile FoundationWA2.1× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 Parley Foundation funds: left to right is the share of its income from government, bottom to top the share from Parley Foundation. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 00%3%10%23%40%funder's share of their income ↑0%4%8%11%15%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–15%
    typical government reliance, FY20–24
    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.

    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 10 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 e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Parley’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home