Grants paid by Bradford-Nye Memorial Scholarship Matt Rowan Trustee
EIN 75-6329248 · Tyler, TX · Form 990-PF, Part XV
Bradford-Nye Memorial Scholarship Matt Rowan Trustee of Tyler, TX (EIN 75-6329248) reported 9 grants paid totaling $92,900 to 4 recipients in tax years 2020–2024, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$92,900
9 grants
Recipients
4
distinct organizations
Tax years
2020–2024
4 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2020 | 1 | $13,400 | — |
| 2022 | 3 | $20,000 | — |
| 2023 | 4 | $34,500 | — |
| 2024 | 1 | $25,000 | — |
Top recipients
The 4 recipients receiving the most from Bradford-Nye Memorial Scholarship Matt Rowan Trustee, by grants paid, out of 4 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Baylor University | U | Waco, TX | 4 | $75,900 | 2024 |
| East Texas Baptist University | U | Marshall, TX | 2 | $7,500 | 2023 |
| Dallas Baptist University 75-6001300 | B | Dallas, TX | 2 | $6,500 | 2023 |
| Texas Am University | U | College Station, TX | 1 | $3,000 | 2023 |
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.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Baylor University Waco, TX | U | $25,000 | paid | EDUCATIONAL SCHOLARSHIPS | 202523159349101932 |
| 2023 | Baylor University Waco, TX | U | $21,500 | paid | EDUCATIONAL SCHOLARSHIPS | 202433029349100428 |
| 2023 | Dallas Baptist University Dallas, TX | B | $5,000 | paid | EDUCATIONAL SCHOLORSHIPS | 202433029349100428 |
| 2023 | East Texas Baptist University Marshall, TX | U | $5,000 | paid | EDUCATIONAL SCHOLARSHIPS | 202433029349100428 |
| 2023 | Texas Am University College Station, TX | U | $3,000 | paid | EDUCATIONAL SCHOLARSHIPS | 202433029349100428 |
| 2022 | Baylor University Waco, TX | U | $16,000 | paid | EDUCATIONAL SCHOLARSHIPS | 202343119349102129 |
| 2022 | East Texas Baptist University Marshall, TX | U | $2,500 | paid | EDUCATIONAL SCHOLARSHIPS | 202343119349102129 |
| 2022 | Dallas Baptist University Dallas, TX | B | $1,500 | paid | EDUCATIONAL SCHOLORSHIPS | 202343119349102129 |
| 2020 | Baylor University Waco, TX | U | $13,400 | paid | EDUCATIONAL SCHOLARSHIPS | 202201239349100430 |
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.
| Form | Tax year | Period end | Filed | Schema | IRS OBJECT_ID |
|---|---|---|---|---|---|
| 990PF | 2024 | 2024-12-31 | not stated | 2024v5.2 | 202523159349101932 |
| 990PF | 2023 | 2023-12-31 | not stated | 2023v5.1 | 202433029349100428 |
| 990PF | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202343119349102129 |
| 990PF | 2020 | 2020-12-31 | not stated | 2020v4.0 | 202201239349100430 |
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/756329248.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.