Funders › FL › The Larch Foundation › 2023
Grants paid by The Larch Foundation, tax year 2023
EIN 20-2012929 · Los Angeles, FL · Form 990-PF, Part XV · NTEE T20
In tax year 2023, The Larch Foundation (EIN 20-2012929) reported 7 grants paid totaling $1,125,500. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2023
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2023 | United States Holocaust Memorial Museum Washington, DC | U | $1,000,000 | paid | GENERAL | 202433179349101748 |
| 2023 | Pan-Mass Challenge Needham, MA | D | $50,000 | paid | GENERAL | 202433179349101748 |
| 2023 | Augusta Levy Learning Center Wheeling, WV | B | $50,000 | paid | GENERAL | 202433179349101748 |
| 2023 | Jri-Poland Roslyn Heights, NY | U | $10,000 | paid | GENERAL | 202433179349101748 |
| 2023 | Gulf of Maine Research Institute Portland, ME | B | $10,000 | paid | GENERAL | 202433179349101748 |
| 2023 | Depaul USA Chicago, IL | C | $5,000 | paid | GENERAL | 202433179349101748 |
| 2023 | St George Volunteer Firefighters & Ambulance Association Tenants Harbor, ME | D | $500 | paid | GENERAL | 202433179349101748 |
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-PF 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.