funder-graph

FundersMAGlobal for Good Fund Inc › 2023

Grants paid by Global for Good Fund Inc, tax year 2023

EIN 27-0467647 · Waltham, MA · Form 990, Schedule I · NTEE P99

In tax year 2023, Global for Good Fund Inc (EIN 27-0467647) reported 9 grants paid totaling $780,000. Dataset version 2026.09.0, built 2026-09-03.

20182020202220232024

Every grant, 2023

Grants reported by Global for Good Fund Inc for tax year 2023
Tax yearRecipientMatchAmountTypePurposeSource filing
2023Cystic Fibrosis Foundation Natick, MAA$273,500paidRESEARCH202423209349302952
2023National Ms Society Rocky Hill, CTA$266,500paidRESEARCH202423209349302952
2023Jennifer Creed Foundation Milford, MAA$60,000paidASSISTANCE202423209349302952
2023Genesis Foundation for Children Boston, MAA$60,000paidMEDICAL CARE202423209349302952
2023Boston Children's Hospital Boston, MAA$40,000paidSTEM CELL RESEARCH202423209349302952
2023Sole Train Boston, MAA$20,000paidPROGRAMMING202423209349302952
2023Cure Rare Diseases Woodbridge, CTA$20,000paidRESEARCH202423209349302952
2023Childrens Trust Boston, MAA$20,000paidPROGRAMMING202423209349302952
2023Ma Fallen Heroes Inc Boston, MAA$20,000paidPROGRAMMING202423209349302952

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.