Grants paid by Art Into Acres
EIN 83-1293663 · Fairfax, CA · Form 990, Schedule I · NTEE A12
Art Into Acres of Fairfax, CA (EIN 83-1293663) reported 22 grants paid totaling $6,969,507 to 11 recipients in tax years 2020–2025, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$6,969,507
22 grants
Recipients
11
distinct organizations
Tax years
2020–2025
6 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2020 | 1 | $40,000 | — |
| 2021 | 1 | $170,290 | — |
| 2022 | 2 | $1,738,659 | — |
| 2023 | 4 | $1,474,023 | — |
| 2024 | 7 | $1,987,714 | — |
| 2025 | 7 | $1,558,821 | — |
Top recipients
The 11 recipients receiving the most from Art Into Acres, by grants paid, out of 11 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Rewild 26-2887967 | A | Austin, TX | 6 | $3,864,584 | 2025 |
| New Venture Fund 20-5806345 | A | Washington, DC | 3 | $1,339,251 | 2025 |
| Large-Scale Land Conservation 27-1226829 | A | Bozeman, MT | 1 | $1,289,522 | 2025 |
| One Earth Philanthropy 85-2588841 | A | Culver City, CA | 2 | $212,000 | 2025 |
| Resolve 52-1841035 | A | Washington, DC | 3 | $181,000 | 2025 |
| Drawdown Bay Area 94-3169015 | A | Corte Madera, CA | 2 | $40,000 | 2023 |
| Intl Big Cat Alliance 30-0108263 | A | Washington, DC | 1 | $10,050 | 2025 |
| South Carolina Aquarium 57-0961897 | A | Charleston, SC | 1 | $10,000 | 2024 |
| Lowcountry Land Trust 57-0809313 | A | Charleston, SC | 1 | $10,000 | 2024 |
| Rainforest Action Network 94-3045180 | A | Roseville, CA | 1 | $7,600 | 2025 |
| Oregon Desert Land Trust 82-2857455 | A | Bend, OR | 1 | $5,500 | 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 22 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2025 | Large-Scale Land Conservation Bozeman, MT | A | $1,289,522 | paid | Wildlife Conservation | 202611349349305071 |
| 2025 | One Earth Philanthropy Culver City, CA | A | $147,000 | paid | Wildlife Conservation | 202611349349305071 |
| 2025 | Conservation Austin, TX | A | $50,000 | paid | Wildlife Conservation | 202611349349305071 |
| 2025 | New Venture Fund Washington, DC | A | $48,649 | paid | Wildlife Conservation | 202611349349305071 |
| 2025 | Intl Big Cat Alliance Washington, DC | A | $10,050 | paid | Wildlife Conservation | 202611349349305071 |
| 2025 | Rainforest Action Network Roseville, CA | A | $7,600 | paid | Wildlife Conservation | 202611349349305071 |
| 2025 | Resolve Washington, DC | A | $6,000 | paid | Wildlife Conservation | 202611349349305071 |
| 2024 | Rewild Austin, TX | A | $1,773,565 | paid | Wildlife Conservation | 202541349349312939 |
| 2024 | Resolve Washington, DC | A | $75,000 | paid | Wildlife Conservation | 202541349349312939 |
| 2024 | One Earth Philanthropy Culver City, CA | A | $65,000 | paid | Wildlife Conservation | 202541349349312939 |
| 2024 | New Venture Fund Washington, DC | A | $48,649 | paid | Wildlife Conservation | 202541349349312939 |
| 2024 | South Carolina Aquarium Charleston, SC | A | $10,000 | paid | Wildlife Conservation | 202541349349312939 |
| 2024 | Lowcountry Land Trust Charleston, SC | A | $10,000 | paid | Wildlife Conservation | 202541349349312939 |
| 2024 | Oregon Desert Land Trust Bend, OR | A | $5,500 | paid | Wildlife Conservation | 202541349349312939 |
| 2023 | New Venture Fund Washington, DC | A | $1,241,953 | paid | Wildlife Conservation | 202431369349313208 |
| 2023 | Rewild Austin, TX | A | $112,070 | paid | Wildlife Conservation | 202431369349313208 |
| 2023 | Resolve Washington, DC | A | $100,000 | paid | Wildlife Conservation | 202431369349313208 |
| 2023 | Drawdown Bay Area Corte Madera, CA | A | $20,000 | paid | Wildlife Conservation | 202431369349313208 |
| 2022 | Rewild Austin, TX | A | $1,718,659 | paid | Wildlife Conservation | 202333199349328578 |
| 2022 | Drawdown Bay Area Corte Madera, CA | A | $20,000 | paid | Wildlife Conservation | 202333199349328578 |
| 2021 | Conservation Austin, TX | A | $170,290 | paid | Wildlife Conservation | 202241369349315579 |
| 2020 | Global Wildlife Conservation Austin, TX | A | $40,000 | paid | Wildlife Conservation | 202101379349305245 |
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 | 2025-12-31 | not stated | 2025v4.1 | 202611349349305071 |
| 990 | 2024 | 2024-12-31 | not stated | 2024v5.1 | 202541349349312939 |
| 990 | 2023 | 2023-12-31 | not stated | 2023v5.0 | 202431369349313208 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202333199349328578 |
| 990 | 2021 | 2021-12-31 | not stated | 2021v4.0 | 202241369349315579 |
| 990 | 2020 | 2020-12-31 | not stated | 2020v4.0 | 202101379349305245 |
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/831293663.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.