Grants paid by National Society of the Daughters of the American Revolution
EIN 11-6024076 · Lake Grove, NY · Form 990-PF, Part XV
National Society of the Daughters of the American Revolution of Lake Grove, NY (EIN 11-6024076) reported 7 grants paid totaling $72,000 to 6 recipients in tax years 2021–2025, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$72,000
7 grants
Recipients
6
distinct organizations
Tax years
2021–2025
4 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2021 | 3 | $15,000 | — |
| 2023 | 1 | $2,000 | — |
| 2024 | 2 | $5,000 | — |
| 2025 | 1 | $50,000 | — |
Top recipients
The 6 recipients receiving the most from National Society of the Daughters of the American Revolution, by grants paid, out of 6 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| East Hampton School District | U | East Hampton, NY | 1 | $50,000 | 2025 |
| Center for Therapeutic Riding | U | Bridgehampton, NY | 2 | $8,000 | 2024 |
| Kate Duncan Smith Dar School 63-6052700 | C | Grant, AL | 1 | $5,000 | 2021 |
| Southampton Historical Museum 11-6027807 | C | Southampton, NY | 1 | $5,000 | 2021 |
| Warrior Ranch Foundation 81-3158108 | C | Calverton, NY | 1 | $2,000 | 2023 |
| Northport Va Medical Center | U | Northport, NY | 1 | $2,000 | 2024 |
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 |
|---|---|---|---|---|---|---|
| 2025 | East Hampton School District East Hampton, NY | U | $50,000 | paid | SCHOLARSHIP | 202600669349100505 |
| 2024 | Center for Therapeutic Riding Bridgehampton, NY | U | $3,000 | paid | PROGRAM SUPPORT | 202530209349100003 |
| 2024 | Northport Va Medical Center Northport, NY | U | $2,000 | paid | PROGRAM SUPPORT | 202530209349100003 |
| 2023 | Warrior Ranch Foundation Calverton, NY | C | $2,000 | paid | PROGRAM SUPPORT | 202430589349100308 |
| 2021 | Kate Duncan Smith Dar School Grant, AL | C | $5,000 | paid | PROGRAM SUPPORT | 202232289349100613 |
| 2021 | Center for Therapeutic Riding Bridgehampton, NY | U | $5,000 | paid | PROGRAM SUPPORT | 202232289349100613 |
| 2021 | Southampton Historical Museum Southampton, NY | C | $5,000 | paid | PROGRAM SUPPORT | 202232289349100613 |
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 |
|---|---|---|---|---|---|
| 990PF | 2025 | 2025-04-30 | not stated | 2024v5.2 | 202600669349100505 |
| 990PF | 2024 | 2024-04-30 | not stated | 2023v6.0 | 202530209349100003 |
| 990PF | 2023 | 2023-04-30 | not stated | 2022v5.0 | 202430589349100308 |
| 990PF | 2021 | 2021-04-30 | not stated | 2020v4.0 | 202232289349100613 |
Derived from IRS Form 990-PF 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/116024076.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.