Grants paid by Ocean Visions Inc
EIN 84-2130219 · Leesburg, VA · Form 990, Schedule I · NTEE U21
Ocean Visions Inc of Leesburg, VA (EIN 84-2130219) reported 7 grants paid totaling $1,087,836 to 5 recipients in tax years 2021–2024, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$1,087,836
7 grants
Recipients
5
distinct organizations
Tax years
2021–2024
4 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2021 | 1 | $25,000 | — |
| 2022 | 3 | $115,000 | — |
| 2023 | 2 | $65,000 | — |
| 2024 | 1 | $882,836 | — |
Top recipients
The 5 recipients receiving the most from Ocean Visions Inc, by grants paid, out of 5 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Woods Hole Oceanographic Institution 04-2105850 | A | Woods Hole, MA | 2 | $902,836 | 2024 |
| Trustees of Columbia University in the City of New York | U | New York, NY | 2 | $127,500 | 2023 |
| Scripps Institution of Oceanography 95-6006144 | A | La Jolla, CA | 1 | $25,000 | 2021 |
| University of Delaware 51-6000297 | A | Newark, DE | 1 | $20,000 | 2022 |
| Uc San Diego Foundation 95-2872494 | A | La Jolla, CA | 1 | $12,500 | 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 7 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Woods Hole Oceanographic Institution Woods Hole, MA | A | $882,836 | paid | OBPE RD&D PROGRAM | 202522309349301157 |
| 2023 | Trustees of Columbia University in the City of New York New York, NY | U | $52,500 | paid | TO CONDUCT POLICY RESEARCH AND PROVIDE RECOMMENDATIONS | 202432909349301543 |
| 2023 | Uc San Diego Foundation La Jolla, CA | A | $12,500 | paid | SUPPORT FOR THE DEVELOPMENT OF A BLUE ECONOMY ACCELERATOR | 202432909349301543 |
| 2022 | Trustees of Columbia University in the City of New York New York, NY | U | $75,000 | paid | GENERAL SUPPORT | 202302689349301050 |
| 2022 | University of Delaware Newark, DE | A | $20,000 | paid | GENERAL SUPPORT | 202302689349301050 |
| 2022 | Woods Hole Oceanographic Institution Woods Hole, MA | A | $20,000 | paid | GENERAL SUPPORT | 202302689349301050 |
| 2021 | Scripps Institution of Oceanography La Jolla, CA | A | $25,000 | paid | SUPPORT FOR SOLVING GREAT OCEAN CHALLENGES. | 202133349349300728 |
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 | 2024 | 2024-12-31 | not stated | 2024v5.2 | 202522309349301157 |
| 990 | 2023 | 2023-12-31 | not stated | 2023v5.1 | 202432909349301543 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202302689349301050 |
| 990 | 2021 | 2021-06-30 | not stated | 2020v4.0 | 202133349349300728 |
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/842130219.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.