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· Public charity

Wisconsin Cheese Makers Association

Wcma is a trade association with a stated mission to be the voice of the cheese industry using the collective knowledge and expertise of its members to promote excellence in the u.s.

$7.0M
Granted FY2025still arriving
90
Grants FY2025still arriving
12
States reached
$289k
Largest
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 2025.

Food & Nutrition$11MEnvironment$475kEducation$304kCommunity Improvement$183kHealth$168kEmployment$167kAnimals$105kRecreation & Sports$53k
02FY2025 · 90 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k6 grants · $56k
  • $10k–50k24 grants · $617k
  • $50k–250k58 grants · $5.8M
  • $250k+2 grants · $565k
$76,684
Median grant
12
States reached
$7.3M
Total assets
Largest grants
RecipientAmount
SPECIALTY CHEESE INC$288,730
HIDDEN SPRINGS CREAMERY LLC$275,897
GOODSPORT NUTRITION LLC$200,000
WIDMER'S CHEESE CELLARS INC$200,000
SARTORI COMPANY$194,086
CONCEPT PROCESSING LLC$183,954
FARM LIFE CREAMERY LLC$177,707
KNUEVEN CREAMERY LLC$175,806
ROSEWOOD DAIRY INC$167,765
BRUNKOW CHEESE OF WISCONSIN INC$133,680
MILK SPECIALTIES GLOBAL INC$116,296
BIRCH POINT DISTILLERY$111,096
CINNAMON RIDGE INC$108,472
BUCKEYE MILK HOUSE LLC$100,000
JB'S BARNYARD (VENDOR)$100,000
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:

Dollar for dollar, its grants (FY18–25) land where the poverty rate runs at 11%, against an area that typically sits at 10%. 60% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%AMO CREAMERY LLC: $100k → 9%MILK SPECIALTIES GLOBAL INC: $116k → 11%CONCEPT PROCESSING LLC: $184k → 11%PICKET FENCE CREAMERY LLC: $100k → 9%MAYTAG DAIRY FARMS LLC: $100k → 9%WAPSIE VALLEY CREAMERY INC: $100k → 10%CINNAMON RIDGE INC: $108k → 12%COUNTRY VIEW DAIRY: $100k → 13%HINTERLAND DAIRY INC: $100k → 14%DAIRY DISTILLERY ALLIANCE: $100k → 8%SEMIFREDDO LLC: $100k → 11%THISTLE DEW DAIRY: $100k → 12%STATE STREET GRILL: $100k → 18%GREEN DIRT FARM LLC: $100k → 8%MESTA MEADOWS LLC: $100k → 12%AMAZING ICE CREAM LLC: $100k → 6%ROSEWOOD DAIRY INC: $168k → 8%CRAVE BROTHERS FARMSTEAD CHEESE LLC: $100k → 8%UNIVERSITY OF WISCONSIN RIVER FALLS FOUNDATION: $450k → 9%UPLANDS CHEESE: $100k → 9%SPECIALTY CHEESE INC: $289k → 9%EAU GALLE CHEESE FACTORY LLC: $100k → 9%CEDAR GROVE CHEESE INC: $173k → 9%SARTORI COMPANY: $194k → 9%HILL VALLEY DAIRY: $100k → 10%DARI LLC: $100k → 10%BRUNKOW CHEESE OF WISCONSIN INC: $134k → 11%GARDNER'S WISCONSIN CHEESE LLC: $100k → 11%HOLLAND'S FAMILY CHEESE: $115k → 13%HIDDEN SPRINGS CREAMERY LLC: $276k → 15%JB'S BARNYARD (VENDOR): $100k → 10%KUEHNERT MILK HOUSE: $100k → 12%KNUEVEN CREAMERY LLC: $176k → 7%WATERSHED FOODS LLC: $100k → 11%MARCOOT JERSEY CREAMERY LLC: $105k → 12%GOODSPORT NUTRITION LLC: $200k → 14%FARM LIFE CREAMERY LLC: $178k → 14%SASSY COW CREAMERY: $100k → 8%ROSEWOOD DAIRY INC: $137k → 8%UW-RIVER FALLS: $100k → 9%NADIA ALBER: $100k → 9%SPECIALTY CHEESE INC: $120k → 9%SARTORI COMPANY: $110k → 9%HOLLAND'S FAMILY CHEESE: $100k → 13%UNIVERSITY OF WISCONSIN SYSTEM: $100k → 13%BIRCH POINT DISTILLERY: $111k → 15%ALPINAGE CHEESE LLC: $153k → 17%WIDMER'S CHEESE CELLARS INC: $200k → 9%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.

Which US states its grants reach

MN
IL
WI
MI
SD
IA
IN
OH
NE
MO
KS
TX
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.

47%of every dollar goes to organizations it has funded before.
$5.8M · 34 repeat orgs$6.5M to everyone else

34 repeat relationships: 33 still active in FY2025, 1 since wound down; 57 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

34
43

Total granted

$5.8M
$2.5M

Still filing today

3%
0%

New vs renewed · share of each year

In FY2025, 43% of grant dollars renewed an existing relationship; $4.0M went to new ones.

50%100%’18’19’20’24’25
RenewedFirst-time
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

  • UNIVERSITY OF WISCONSIN - RIVER FALLS FOUNDATION INC
    2× · 2024–2025 · $540k · revenue +43%
  • SC
    SPECIALTY CHEESE INC
    2× · 2024–2025 · $409k
  • RD
    ROSEWOOD DAIRY INC
    2× · 2024–2025 · $305k

Funded once

  • MJ
    MARCOOT JERSEY CREAMERY LLC
    one grant, 2024 · $105k
  • UC
    UPLANDS CHEESE
    one grant, 2024 · $100k
  • FS
    FARM STAPELS
    one grant, 2024 · $100k
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
04the grantee network

1 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. 1 of the 134 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)
0
Early backer (in before they grew)
1/1
Grantees still filing
1/1
Grew since first funded

Where the money sits, by cause and then by grantee

SPECIALTY CHEESE INC: $408,549 · Other+132 more: $11,353,968 · Other+132 moreUNIVERSITY OF WISCONSIN - RIVER FALLS FOUNDATION INC: $540,000 · Education
Other$11,762,517Education$540,000

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

25%50%75%100%grantee revenue →↑ funder's share of their budgetUNIVERSITY OF WISCONSIN - RIVER FALLS FOUNDATION INC: $540,000 over 2y, 8.8% 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 UNIVERSITY OF WISCONSIN - RIVER FALLS FOUNDATION INC ↗

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.

Food Export Association of the Midwest USAIL14.4× affinity5 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Food Export Association of the Midwest USA

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 Wisconsin Cheese Makers Association funds: left to right is the share of its income from government, bottom to top the share from Wisconsin Cheese Makers Association. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 00%1%3%6%10%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    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.

    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 134 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Wisconsin Cheese Makers Association’s filings →

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