Grants paid by The Hamptons Health Society Inc C/O Dr Peter Michalos
EIN 20-0679059 · Southampton, NY · Form 990, Schedule I · NTEE E60
The Hamptons Health Society Inc C/O Dr Peter Michalos of Southampton, NY (EIN 20-0679059) reported 8 grants paid totaling $308,700 to 5 recipients in tax years 2021–2025, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$308,700
8 grants
Recipients
5
distinct organizations
Tax years
2021–2025
4 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2021 | 4 | $115,600 | — |
| 2022 | 2 | $37,100 | — |
| 2023 | 1 | $100,000 | — |
| 2025 | 1 | $56,000 | — |
Top recipients
The 5 recipients receiving the most from The Hamptons Health Society Inc C/O Dr Peter Michalos, by grants paid, out of 5 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| The Research Foundation for the Sta 14-1368361 | A | Albany, NY | 3 | $187,100 | 2025 |
| Stony Brook Ophthalmology 11-2658697 | A | Stony Brook, NY | 2 | $58,700 | 2022 |
| Southampton Hospital 11-1667765 | A | Stonybrook, NY | 1 | $51,000 | 2021 |
| Stonybrook School 11-6112414 | A | Stony Brook, NY | 1 | $6,000 | 2021 |
| Manhattan College 13-1740468 | A | Riverdale, NY | 1 | $5,900 | 2021 |
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 8 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2025 | The Research Foundation for the Sta Albany, NY | A | $56,000 | paid | RESEARCH | 202502059349301410 |
| 2023 | The Research Foundation for the State University of New York Albany, NY | A | $100,000 | paid | RESEARCH | 202313489349300226 |
| 2022 | The Research Foundation for the State University of New York Albany, NY | A | $31,100 | paid | RESEARCH | 202302239349300105 |
| 2022 | Stony Brook Ophthalmology Stony Brook, NY | A | $6,000 | paid | MEDICAL RESEARCH | 202302239349300105 |
| 2021 | Stony Brook Ophthalmology Stony Brook, NY | A | $52,700 | paid | MEDICAL RESEARCH | 202143489349301054 |
| 2021 | Southampton Hospital Stonybrook, NY | A | $51,000 | paid | VITAL MEDICAL SUPPLIES | 202143489349301054 |
| 2021 | Stonybrook School Stony Brook, NY | A | $6,000 | paid | RESEARCH | 202143489349301054 |
| 2021 | Manhattan College Riverdale, NY | A | $5,900 | paid | SCHOLARSHIP | 202143489349301054 |
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 | 2025-01-31 | not stated | 2024v5.0 | 202502059349301410 |
| 990 | 2023 | 2023-01-31 | not stated | 2022v5.0 | 202313489349300226 |
| 990 | 2022 | 2022-01-31 | not stated | 2021v4.2 | 202302239349300105 |
| 990 | 2021 | 2021-01-31 | not stated | 2020v4.1 | 202143489349301054 |
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/200679059.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.