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FundersTX

Grants paid by Barbara S Fales Schisp Trust

EIN 34-7183486 · Dallas, TX · Form 990-PF, Part XV · NTEE T22

Barbara S Fales Schisp Trust of Dallas, TX (EIN 34-7183486) reported 11 grants paid totaling $120,000 to 6 recipients in tax years 2018–2025, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$120,000

11 grants

Recipients

6

distinct organizations

Tax years

2018–2025

7 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20184$50,000
20202$20,000
20211$10,000
20221$10,000
20231$10,000
20241$10,000
20251$10,000

Top recipients

The 6 recipients receiving the most from Barbara S Fales Schisp Trust, by grants paid, out of 6 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Boston CollegeUChestnut Hill, MA3$30,0002025
Emmanuel CollegeUFranklin Springs, GA3$30,0002022
Cornell UniversityUIthaca, NY2$25,0002020
University of HartfordUWest Hartford, CT1$15,0002018
Smith College 51-0202403BNorthampton, MA1$15,0002018
Tufts University Dowling HallUMedford, MA1$5,0002018

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.

Every grant

All 11 grant rows this organization reported, most recent first.

Grants reported by Barbara S Fales Schisp Trust
Tax yearRecipientMatchAmountTypePurposeSource filing
2025Boston College Chestnut Hill, MAU$10,000paidSCHOLARSHIPS202611119349101421
2024Boston College Chestnut Hill, MAU$10,000paidSCHOLARSHIPS202540799349100424
2023Boston College Chestnut Hill, MAU$10,000paidSCHOLARSHIPS202420869349101057
2022Emmanuel College Franklin Springs, GAU$10,000paidSCHOLARSHIP - KATHRYN202331019349102808
2021Emmanuel College Franklin Springs, GAU$10,000paidSCHOLARSHIP - KATHRYN202210819349101056
2020Emmanuel College Franklin Springs, GAU$10,000paidSCHOLARSHIP - KATHRYN202110859349100921
2020Cornell University Ithaca, NYU$10,000paidSCHOLARSHIP - ASHLEY CHUNG202110859349100921
2018University of Hartford West Hartford, CTU$15,000paidSCHOLARSHIP FBO ABIGAIL201940949349100634
2018Smith College Northampton, MAB$15,000paidSCHOLARSHIP-CLAIRE ROYCROFT201940949349100634
2018Cornell University Ithaca, NYU$15,000paidSCHOLARSHIP-ASHLEY CHUNG201940949349100634
2018Tufts University Dowling Hall Medford, MAU$5,000paidSCHOLARSHIP-BRUCE JOHNSON201940949349100634

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.

Source filings

Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.

Returns this page is derived from
FormTax yearPeriod endFiledSchemaIRS OBJECT_ID
990PF20252025-12-31not stated2025v4.0202611119349101421
990PF20242024-12-31not stated2024v5.0202540799349100424
990PF20232023-12-31not stated2023v5.0202420869349101057
990PF20222022-12-31not stated2022v5.0202331019349102808
990PF20212021-12-31not stated2021v4.1202210819349101056
990PF20202020-12-31not stated2020v4.0202110859349100921
990PF20182018-12-31not stated2018v3.0201940949349100634

Derived from IRS Form 990-PF e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/347183486.json.

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.