funder-graph

FundersCAThe Susan Liautaud Foundation › 2023

Grants paid by The Susan Liautaud Foundation, tax year 2023

EIN 77-0511717 · San Francisco, CA · Form 990-PF, Part XV · NTEE T20

In tax year 2023, The Susan Liautaud Foundation (EIN 77-0511717) reported 7 grants paid totaling $195,000. Dataset version 2026.09.0, built 2026-09-03.

20202021202220232024

Every grant, 2023

Grants reported by The Susan Liautaud Foundation for tax year 2023
Tax yearRecipientMatchAmountTypePurposeSource filing
2023Stanford University Devlopment Services Stanford, CAU$50,000paidEDUCATION202412839349100216
2023Carnegie Endowment Washington, DCD$50,000paidHUMANITARIAN RELIEF202412839349100216
2023Stanford University Devlopment Services Stanford, CAU$50,000paidEDUCATION202412839349100216
2023Yale University Development Yale Parents New York, NYU$25,000paidEDUCATION202412839349100216
2023Medecines Sans Frontueres USA Inc New York, NYD$10,000paidEMERGENCY MEDICAL AND HUMANITARIAN RELIEF202412839349100216
2023French Institute Alliance Franaise New York, NYC$5,000paidEDUCATION202412839349100216
2023Yale University Development Yale Parents New York, NYU$5,000paidEDUCATION202412839349100216

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.