funder-graph

FundersNHSimpson Ashcroft Trust › 2023

Grants paid by Simpson Ashcroft Trust, tax year 2023

EIN 54-6568908 · Bedford, NH · Form 990-PF, Part XV · NTEE T22

In tax year 2023, Simpson Ashcroft Trust (EIN 54-6568908) reported 7 grants paid totaling $14,500. Dataset version 2026.09.0, built 2026-09-03.

201920202022202320242025

Every grant, 2023

Grants reported by Simpson Ashcroft Trust for tax year 2023
Tax yearRecipientMatchAmountTypePurposeSource filing
2023Rivier University Nashua, NHU$2,500paidLUAL 2023 ACADEMIC YEAR202433199349103018
2023St Anselms College Manchester, NHC$2,500paidI. MEARS 2023 ACADEMIC YR202433199349103018
2023St Anselms College Manchester, NHC$2,500paidM CONTRERAS-VELEZ 2023 ACADEMIC202433199349103018
2023St Anselms College Manchester, NHC$2,500paidE VACIRCA 2023 ACADEMIC YR202433199349103018
2023Manchester Community College Manchester, NHU$2,000paidSAMANTHA TEWKSBUR 2023 ACADEMIC YEAR202433199349103018
2023Manchester Community College Manchester, NHU$1,500paidMARYAM BUHARI 2023 ACADEMIC YR202433199349103018
2023University of New Hampshire Durham, NHU$1,000paidJOANNE TSANG 2022 ACADEMIC YEAR202433199349103018

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.