funder-graph

FundersMN

Grants paid by William Douglas Sutton Foundation

EIN 20-5716699 · Edina, MN · Form 990-PF, Part XV · NTEE T20

William Douglas Sutton Foundation of Edina, MN (EIN 20-5716699) reported 11 grants paid totaling $725,000 to 2 recipients in tax years 2018–2025, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$725,000

11 grants

Recipients

2

distinct organizations

Tax years

2018–2025

7 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20181$90,000
20201$80,000
20212$85,000
20221$100,000
20232$110,000
20242$110,000
20252$150,000

Top recipients

The 2 recipients receiving the most from William Douglas Sutton Foundation, by grants paid, out of 2 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Mayo FoundationURochester, MN7$670,0002025
Children's Cancer Research Fund 41-1893645CMinneapolis, MN4$55,0002025

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Every grant

All 11 grant rows this organization reported, most recent first.

Grants reported by William Douglas Sutton Foundation
Tax yearRecipientMatchAmountTypePurposeSource filing
2025Mayo Foundation Rochester, MNU$125,000paidBRAIN CANCER & ALZHEIMERS' RESEARCH202641599349100709
2025Children's Cancer Research Fund Minneapolis, MNC$25,000paidPEDIATRIC BRAIN TUMOR RESEARCH202641599349100709
2024Mayo Foundation Rochester, MNU$100,000paidBRAIN CANCER & ALZHEIMERS' RESEARCH202532339349100508
2024Children's Cancer Research Fund Minneapolis, MNC$10,000paidPEDIATRIC BRAIN TUMOR RESEARCH202532339349100508
2023Mayo Foundation Rochester, MNU$100,000paidBRAIN CANCER & ALZHEIMERS' RESEARCH202422049349100107
2023Children's Cancer Research Fund Minneapolis, MNC$10,000paidPEDIATRIC BRAIN TUMOR RESEARCH202422049349100107
2022Mayo Foundation Rochester, MNU$100,000paidBRAIN CANCER & ALZHEIMERS' RESEARCH202322229349100327
2021Mayo Foundation Rochester, MNU$75,000paidBRAIN CANCER & ALZHEIMERS' RESEARCH202232419349100308
2021Childrens' Cancer Research Fund Minneapolis, MNC$10,000paidSURVIVORSHIP RESEARCH & CARE202232419349100308
2020Mayo Foundation Rochester, MNU$80,000paidPROGRAM SUPPORT202112049349100906
2018Mayo Foundation Rochester, MNU$90,000paidPROGRAM SUPPORT201942479349100759

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.

Source filings

Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.

Returns this page is derived from
FormTax yearPeriod endFiledSchemaIRS OBJECT_ID
990PF20252025-12-31not stated2025v4.0202641599349100709
990PF20242024-12-31not stated2024v5.0202532339349100508
990PF20232023-12-31not stated2023v5.0202422049349100107
990PF20222022-12-31not stated2022v5.0202322229349100327
990PF20212021-12-31not stated2021v4.0202232419349100308
990PF20202020-12-31not stated2020v4.0202112049349100906
990PF20182018-12-31not stated2018v3.1201942479349100759

Derived from IRS Form 990-PF e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/205716699.json.

The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.

This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.