funder-graph

FundersWA

Grants paid by Ifta Research Foundation

EIN 45-4035232 · Kenneiwck, WA · Form 990, Schedule I · NTEE C60

Ifta Research Foundation of Kenneiwck, WA (EIN 45-4035232) reported 13 grants paid totaling $189,000 to 4 recipients in tax years 2018–2025, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$189,000

13 grants

Recipients

4

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
20182$28,000
20192$37,000
20202$25,000
20212$25,000
20231$19,000
20243$36,000
20251$19,000

Top recipients

The 4 recipients receiving the most from Ifta Research Foundation, by grants paid, out of 4 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Cornell University 15-0532082AGeneva, NY7$121,0002025
Michigan State Univ 38-2015695AEast Lansing, MI4$51,0002021
Wsu Foundation 91-1075542APullman, WA1$11,0002024
Michigan State University 38-6005984AEast Lansing, MI1$6,0002024

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 13 grant rows this organization reported, most recent first.

Grants reported by Ifta Research Foundation
Tax yearRecipientMatchAmountTypePurposeSource filing
2025Cornell University Geneava, NYA$19,000paid2025 Apple & Cherry Rootstock202620519349300227
2024Cornell University Geneava, NYA$19,000paidApple & Cherry Rootstock202530349349302203
2024Wsu Foundation Pullman, WAA$11,000paidRootstock202530349349302203
2024Michigan State University East Lansing, MIA$6,000paidGreg Lang & Todd Einhorn Research202530349349302203
2023Cornell University Geneava, NYA$19,000paidT Robinson Research Projects202441279349303754
2021Cornell University Geneva, NYA$14,000paidRESEARCH202220399349301217
2021Michigan State Univ East Lansing, MIA$11,000paidRESEARCH202220399349301217
2020Cornell University Geneva, NYA$14,000paidRESEARCH202131059349300513
2020Michigan State Univ East Lansing, MIA$11,000paidRESEARCH202131059349300513
2019Michigan State Univ East Lansing, MIA$19,000paidRESEARCH202001959349302935
2019Cornell University Geneva, NYA$18,000paidRESEARCH202001959349302935
2018Cornell University Geneva, NYA$18,000paidRESEARCH201931919349300143
2018Michigan State Univ East Lansing, MIA$10,000paidRESEARCH201931919349300143

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
99020252025-11-30not stated2024v5.2202620519349300227
99020242024-11-30not stated2023v6.0202530349349302203
99020232023-11-30not stated2022v5.0202441279349303754
99020212021-11-30not stated2020v4.1202220399349301217
99020202020-11-30not stated2019v5.1202131059349300513
99020192019-11-30not stated2018v3.1202001959349302935
99020182018-11-30not stated2017v2.2201931919349300143

Derived from IRS Form 990 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/454035232.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.