funder-graph

FundersTX

Grants paid by Ferguson Elsie L Fdn Ua

EIN 06-6028050 · Dallas, TX · Form 990-PF, Part XV

Ferguson Elsie L Fdn Ua of Dallas, TX (EIN 06-6028050) reported 15 grants paid totaling $20,256 to 3 recipients in tax years 2020–2025, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$20,256

15 grants

Recipients

3

distinct organizations

Tax years

2020–2025

5 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20203$4,023
20213$4,017
20233$4,236
20243$3,381
20253$4,599

Top recipients

The 3 recipients receiving the most from Ferguson Elsie L Fdn Ua, by grants paid, out of 3 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
The Animal Medical Center 13-5505367CNew York, NY5$6,7522025
Connecticut Humane Society 06-0667605BNewington, CT5$6,7522025
AspcaUNew York, NY5$6,7522025

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 15 grant rows this organization reported, most recent first.

Grants reported by Ferguson Elsie L Fdn Ua
Tax yearRecipientMatchAmountTypePurposeSource filing
2025Aspca New York, NYU$1,533paidUNRESTRICTED GENERAL202503369349101415
2025Connecticut Humane Society Newington, CTB$1,533paidUNRESTRICTED GENERAL202503369349101415
2025The Animal Medical Center New York, NYC$1,533paidUNRESTRICTED GENERAL202503369349101415
2024Connecticut Humane Society Newington, CTB$1,127paidUNRESTRICTED GENERAL202403529349100410
2024Aspca New York, NYU$1,127paidUNRESTRICTED GENERAL202403529349100410
2024The Animal Medical Center New York, NYC$1,127paidUNRESTRICTED GENERAL202403529349100410
2023The Animal Medical Center New York, NYC$1,412paidUNRESTRICTED GENERAL202400319349101000
2023Connecticut Humane Society Newington, CTB$1,412paidUNRESTRICTED GENERAL202400319349101000
2023Aspca New York, NYU$1,412paidUNRESTRICTED GENERAL202400319349101000
2021Aspca New York, NYU$1,339paidUNRESTRICTED GENERAL202230279349100758
2021The Animal Medical Center New York, NYC$1,339paidUNRESTRICTED GENERAL202230279349100758
2021Connecticut Humane Society Newington, CTB$1,339paidUNRESTRICTED GENERAL202230279349100758
2020Connecticut Humane Society Newington, CTB$1,341paidUNRESTRICTED GENERAL202110219349101131
2020The Animal Medical Center New York, NYC$1,341paidUNRESTRICTED GENERAL202110219349101131
2020Aspca New York, NYU$1,341paidUNRESTRICTED GENERAL202110219349101131

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
990PF20252025-10-31not stated2024v5.2202503369349101415
990PF20242024-10-31not stated2023v5.1202403529349100410
990PF20232023-10-31not stated2022v5.0202400319349101000
990PF20212021-10-31not stated2020v4.1202230279349100758
990PF20202020-10-31not stated2019v5.0202110219349101131

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/066028050.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.