Funders › MO › Leonard Wood Institute Inc › 2022
Grants paid by Leonard Wood Institute Inc, tax year 2022
EIN 20-0694498 · Ft Leonard Wd, MO · Form 990, Schedule I · NTEE U99
In tax year 2022, Leonard Wood Institute Inc (EIN 20-0694498) reported 6 grants paid totaling $1,375,243. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2022
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2022 | Missouri University of Science & Te Rolla, MO | A | $686,869 | paid | BASIC SCIENTIFIC RES | 202311359349305426 |
| 2022 | University of Missouri - Columbia Columbia, MO | A | $362,023 | paid | BASIC SCIENTIFIC RES | 202311359349305426 |
| 2022 | University of Mo - Kansas City Kansas City, MO | A | $143,066 | paid | BASIC SCIENTIFIC RES | 202311359349305426 |
| 2022 | University of New Mexico Albuguerque, NM | A | $142,921 | paid | BASIC SCIENTIFIC RES | 202311359349305426 |
| 2022 | Washington University - St Louis St Louis, MO | A | $23,525 | paid | BASIC SCIENTIFIC RES | 202311359349305426 |
| 2022 | Technology Service Corporation Arlingon, VA | A | $16,839 | paid | BASIC SCIENTIFIC RES | 202311359349305426 |
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 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.