Grants paid by International Foundation for Telemetering
EIN 95-2507033 · Palmdale, CA · Form 990, Schedule I
International Foundation for Telemetering of Palmdale, CA (EIN 95-2507033) reported 24 grants paid totaling $1,752,075 to 6 recipients in tax years 2019–2025, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$1,752,075
24 grants
Recipients
6
distinct organizations
Tax years
2019–2025
7 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2019 | 3 | $158,000 | — |
| 2020 | 3 | $180,820 | — |
| 2021 | 3 | $181,836 | — |
| 2022 | 3 | $182,813 | — |
| 2023 | 4 | $228,931 | — |
| 2024 | 3 | $175,000 | — |
| 2025 | 5 | $644,675 | — |
Top recipients
The 6 recipients receiving the most from International Foundation for Telemetering, by grants paid, out of 6 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Morgan State University 52-6002033 | A | Baltimore, MD | 7 | $680,000 | 2025 |
| University of Arizona 74-2652689 | A | Tucson, AZ | 7 | $483,675 | 2025 |
| Missouri University of Science 43-6003859 | A | Rolla, MO | 5 | $282,400 | 2023 |
| University of Kansas 48-1124839 | A | Lawrence, KS | 3 | $135,000 | 2025 |
| Brigham Young University 87-0217280 | A | Provo, UT | 1 | $96,000 | 2025 |
| University of California Santa Barbara 95-6006145 | A | Santa Barbara, CA | 1 | $75,000 | 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 24 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2025 | Morgan State University Baltimore, MD | A | $275,000 | paid | Program support | 202502869349301895 |
| 2025 | University of Arizona Tucson, AZ | A | $153,675 | paid | Program support | 202502869349301895 |
| 2025 | Brigham Young University Provo, UT | A | $96,000 | paid | Program support | 202502869349301895 |
| 2025 | University of California Santa Barbara Santa Barbara, CA | A | $75,000 | paid | Program support | 202502869349301895 |
| 2025 | University of Kansas Lawrence, KS | A | $45,000 | paid | Program support | 202502869349301895 |
| 2024 | Morgan State University Baltimore, MD | A | $75,000 | paid | Program support | 202500239349301200 |
| 2024 | University of Arizona Tucson, AZ | A | $55,000 | paid | Program support | 202500239349301200 |
| 2024 | University of Kansas Lawrence, KS | A | $45,000 | paid | Program support | 202500239349301200 |
| 2023 | Morgan State University Baltimore, MD | A | $75,000 | paid | Program support | 202322309349300227 |
| 2023 | University of Arizona Tucson, AZ | A | $55,000 | paid | Program support | 202322309349300227 |
| 2023 | Missouri University of Science & Technology Rolla, MO | A | $53,931 | paid | Program support | 202322309349300227 |
| 2023 | University of Kansas Lawrence, KS | A | $45,000 | paid | Program support | 202322309349300227 |
| 2022 | Morgan State University Baltimore, MD | A | $75,000 | paid | Program support | 202242559349301309 |
| 2022 | University of Arizona Tucson, AZ | A | $55,000 | paid | Program support | 202242559349301309 |
| 2022 | Missouri University of Science Rolla, MO | A | $52,813 | paid | Program support | 202242559349301309 |
| 2021 | Morgan State University Baltimore, MD | A | $75,000 | paid | Program support | 202220349349300532 |
| 2021 | University of Arizona Tucson, AZ | A | $55,000 | paid | Program support | 202220349349300532 |
| 2021 | Missouri University of Science Rolla, MO | A | $51,836 | paid | Program support | 202220349349300532 |
| 2020 | Morgan State University Baltimore, MD | A | $75,000 | paid | Program support | 202002409349300710 |
| 2020 | University of Arizona Tucson, AZ | A | $55,000 | paid | Program support | 202002409349300710 |
| 2020 | Missouri University of Science Rolla, MO | A | $50,820 | paid | Program support | 202002409349300710 |
| 2019 | Missouri University of Science Rolla, MO | A | $73,000 | paid | Program support | 201902189349300640 |
| 2019 | University of Arizona Tucson, AZ | A | $55,000 | paid | Program support | 201902189349300640 |
| 2019 | Morgan State University Baltimore, MD | A | $30,000 | paid | Program support | 201902189349300640 |
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 | 2025-04-30 | not stated | 2024v5.2 | 202502869349301895 |
| 990 | 2024 | 2024-04-30 | not stated | 2023v6.0 | 202500239349301200 |
| 990 | 2023 | 2023-04-30 | not stated | 2022v5.0 | 202322309349300227 |
| 990 | 2022 | 2022-04-30 | not stated | 2021v4.2 | 202242559349301309 |
| 990 | 2021 | 2021-04-30 | not stated | 2020v4.2 | 202220349349300532 |
| 990 | 2020 | 2020-04-30 | not stated | 2019v5.0 | 202002409349300710 |
| 990 | 2019 | 2019-04-30 | not stated | 2018v3.1 | 201902189349300640 |
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/952507033.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.