funder-graph

FundersMOBeta Sigma Phi Charitable Foundation › 2022

Grants paid by Beta Sigma Phi Charitable Foundation, tax year 2022

EIN 43-0913993 · Kansas City, MO · Form 990, Schedule I · NTEE B80Z

In tax year 2022, Beta Sigma Phi Charitable Foundation (EIN 43-0913993) reported 8 grants paid totaling $80,000. Dataset version 2026.09.0, built 2026-09-03.

20182019202020212022202320242025

Every grant, 2022

Grants reported by Beta Sigma Phi Charitable Foundation for tax year 2022
Tax yearRecipientMatchAmountTypePurposeSource filing
2022Medical Teams International Tigard, ORA$10,000paidGRANT202341669349302324
2022Dana-Farber Cancer Institute Boston, MAA$10,000paidGRANT202341669349302324
2022Alzheimer's Foundation New York, NYA$10,000paidGRANT202341669349302324
2022Harvestor's Backsnack Program Kansas City, MOA$10,000paidGRANT202341669349302324
2022St Luke's Mid-America Heart & Vascular Institute Kansas City, MOA$10,000paidGRANT202341669349302324
2022Rett Syndrome Clinton, MDA$10,000paidGRANT202341669349302324
2022Als Association Washington, DCA$10,000paidGRANT202341669349302324
2022Crohn's & Colitis Foundation of America New York, NYA$10,000paidGRANT202341669349302324

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.

Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.

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.