funder-graph

FundersNYFinerman Foundation Inc & Ralph Finerman › 2023

Grants paid by Finerman Foundation Inc & Ralph Finerman, tax year 2023

EIN 23-7024610 · New York, NY · Form 990-PF, Part XV

In tax year 2023, Finerman Foundation Inc & Ralph Finerman (EIN 23-7024610) reported 6 grants paid totaling $38,000. Dataset version 2026.09.0, built 2026-09-03.

20212022202320242025

Every grant, 2023

Grants reported by Finerman Foundation Inc & Ralph Finerman for tax year 2023
Tax yearRecipientMatchAmountTypePurposeSource filing
2023University of Pennsylvania Philadelphia, PAU$25,000paidEducation202400889349100115
2023Birthright Israel Foundation New York, NYC$9,000paidFunding educational trips to Israel for young adults202400889349100115
2023Best Friends Animal Society Kanab, UTB$1,000paidPet Adoption Center202400889349100115
2023National Multiple Sclerosis Society New York, NYC$1,000paidMultiple Sclerosis research and therapies202400889349100115
2023Frosted Faces Foundation Ramona, CAB$1,000paidFamily and veterinary care for senior animals202400889349100115
2023University of California Berkeley Berkeley, CAC$1,000paidUniversity Athletics department support202400889349100115

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-PF 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.