Grants paid by Auburn Research & Technology Foundation
EIN 20-1806718 · Auburn, AL · Form 990, Schedule I · NTEE B11
Auburn Research & Technology Foundation of Auburn, AL (EIN 20-1806718) reported 5 grants paid totaling $118,291 to 2 recipients in tax years 2023–2025, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$118,291
5 grants
Recipients
2
distinct organizations
Tax years
2023–2025
3 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2023 | 3 | $83,062 | — |
| 2024 | 1 | $11,288 | — |
| 2025 | 1 | $23,941 | — |
Top recipients
The 2 recipients receiving the most from Auburn Research & Technology Foundation, by grants paid, out of 2 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Auburn University Samuel Ginn College of Engineeri | U | Auburn, AL | 3 | $83,327 | 2024 |
| Forest Products Development Center | U | Auburn, AL | 2 | $34,964 | 2025 |
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 5 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2025 | Forest Products Development Center Auburn, AL | U | $23,941 | paid | In support of research efforts with plant based sustainable barrier coatings and films that are suitable for the food packaging industry to develop grease resistant paper coatings | 202610349349300411 |
| 2024 | Auburn University Samuel Ginn College of Engineeri Auburn, AL | U | $11,288 | paid | In support of research efforts to manufacture low-cost, long-lasting catalyst membranes for use in green hydrogen production. | 202520389349300002 |
| 2023 | Auburn University Samuel Ginn College of Engineeri Auburn, AL | U | $43,175 | paid | In support of research efforts in funding novel process to turn wood into wood pulp more effectively. | 202430459349300628 |
| 2023 | Auburn University Samuel Ginn College of Engineeri Auburn, AL | U | $28,864 | paid | In support of research efforts to manufacture low-cost, long-lasting catalyst membranes for use in green hydrogen production. | 202430459349300628 |
| 2023 | Forest Products Development Center Auburn, AL | U | $11,023 | paid | In support of reseach efforts with plant-based sustainable barrier coatings and films that are suitable for the food packaging industry to develop grease resistant paper coatings. | 202430459349300628 |
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 |
|---|---|---|---|---|---|
| 990 | 2025 | 2025-09-30 | not stated | 2024v5.2 | 202610349349300411 |
| 990 | 2024 | 2024-09-30 | not stated | 2023v6.0 | 202520389349300002 |
| 990 | 2023 | 2023-09-30 | not stated | 2022v5.0 | 202430459349300628 |
Derived from IRS Form 990 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/201806718.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.