Funders › MO › Sm and Helen Bradley Scholarship Fund › 2024
Grants paid by Sm and Helen Bradley Scholarship Fund, tax year 2024
EIN 37-6673401 · Jefferson Cty, MO · Form 990-PF, Part XV
In tax year 2024, Sm and Helen Bradley Scholarship Fund (EIN 37-6673401) reported 7 grants paid totaling $43,758. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2024
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | University of Missouri-Columbia Columbia, MO | B | $19,458 | paid | SCHOLARSHIP | 202541229349100244 |
| 2024 | Stephens College Columbia, MO | B | $6,700 | paid | SCHOLARSHIP | 202541229349100244 |
| 2024 | Missouri State University Springfield, MO | U | $4,200 | paid | SCHOLARSHIP | 202541229349100244 |
| 2024 | University of Washington Seattle, WA | B | $4,200 | paid | SCHOLARSHIP | 202541229349100244 |
| 2024 | St Louis University St Louis, MO | B | $4,200 | paid | SCHOLARSHIP | 202541229349100244 |
| 2024 | University of Kansas Lawrence, KS | U | $2,500 | paid | SCHOLARSHIP | 202541229349100244 |
| 2024 | University of Minnesota Minneapolis, MN | U | $2,500 | paid | SCHOLARSHIP | 202541229349100244 |
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.