funder-graph

FundersTX

Grants paid by Roy E Thomas Medical Foundation

EIN 95-3190677 · Dallas, TX · Form 990-PF, Part XV

Roy E Thomas Medical Foundation of Dallas, TX (EIN 95-3190677) reported 9 grants paid totaling $929,828 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

$929,828

9 grants

Recipients

6

distinct organizations

Tax years

2018–2025

8 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20181$125,000
20191$125,000
20202$125,000
20211$150,000
20221$15,000
20231$119,828
20241$130,000
20251$140,000

Top recipients

The 6 recipients receiving the most from Roy E Thomas Medical Foundation, by grants paid, out of 6 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Children's Hospital laULos Angelos, CA3$295,0002024
Keck School of MedicineULos Angeles, CA2$244,8282023
Children's Hospital Los AngelesULos Angeles, CA1$140,0002025
Good Samaritan HospitalULos Angeles, CA1$125,0002019
Ucsf School of MedicineUSan Francisco, CA1$100,0002020
Univ of Minnesota Medical SchoolUMinneapolis, MN1$25,0002020

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 9 grant rows this organization reported, most recent first.

Grants reported by Roy E Thomas Medical Foundation
Tax yearRecipientMatchAmountTypePurposeSource filing
2025Children's Hospital Los Angeles Los Angeles, CAU$140,000paidUNRESTRICTED GENERAL202611119349100416
2024Children's Hospital la Los Angelos, CAU$130,000paidUNRESTRICTED GENERAL202520799349100432
2023Keck School of Medicine Los Angeles, CAU$119,828paidUNRESTRICTED GENERAL202401159349100305
2022Children's Hospital la Los Angelos, CAU$15,000paidUNRESTRICTED GENERAL202341019349100629
2021Children's Hospital la Los Angelos, CAU$150,000paidUNRESTRICTED GENERAL202221199349101417
2020Ucsf School of Medicine San Francisco, CAU$100,000paidCARDIOLOGY202100989349100630
2020Univ of Minnesota Medical School Minneapolis, MNU$25,000paidCARDIOLOGY202100989349100630
2019Good Samaritan Hospital Los Angeles, CAU$125,000paidHEART AND VASCULAR CENTER202010869349100406
2018Keck School of Medicine Los Angeles, CAU$125,000paidUNRESTRICTED GENERAL201920949349100857

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 stated2025v4.0202611119349100416
990PF20242024-12-31not stated2024v5.0202520799349100432
990PF20232023-12-31not stated2023v5.0202401159349100305
990PF20222022-12-31not stated2022v5.0202341019349100629
990PF20212021-12-31not stated2021v4.1202221199349101417
990PF20202020-12-31not stated2020v4.0202100989349100630
990PF20192019-12-31not stated2019v5.0202010869349100406
990PF20182018-12-31not stated2018v3.0201920949349100857

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/953190677.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.