Grants paid by Carolyns Fund
EIN 68-0503143 · Fort Collins, CO · Form 990-PF, Part XV · NTEE T22
Carolyns Fund of Fort Collins, CO (EIN 68-0503143) reported 7 grants paid totaling $345,000 to 4 recipients in tax years 2020–2025, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$345,000
7 grants
Recipients
4
distinct organizations
Tax years
2020–2025
4 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2020 | 1 | $250,000 | — |
| 2022 | 1 | $10,000 | — |
| 2024 | 2 | $10,000 | — |
| 2025 | 3 | $75,000 | — |
Top recipients
The 4 recipients receiving the most from Carolyns Fund, by grants paid, out of 4 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Homes for Life Foundation 33-0248725 | B | Los Angeles, CA | 1 | $250,000 | 2020 |
| Brain and Behavior Research | U | New York, NY | 2 | $65,000 | 2025 |
| Salvation Army | U | Rancho Palos Verdes, CA | 3 | $20,000 | 2025 |
| Food Bank for Larimer County 74-2336171 | B | Loveland, CO | 1 | $10,000 | 2025 |
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 | Brain and Behavior Research New York, NY | U | $60,000 | paid | Fund research searching for better treatments cures and methods of prevention for mental illnesses. | 202601319349100505 |
| 2025 | Food Bank for Larimer County Loveland, CO | B | $10,000 | paid | Distribution of Food to people experiencing homelessness. | 202601319349100505 |
| 2025 | Salvation Army Rancho Palos Verdes, CA | U | $5,000 | paid | Support for people experiencing mental illnesses. | 202601319349100505 |
| 2024 | Brain and Behavior Research New York, NY | U | $5,000 | paid | Fund research searching for better treatments cures and methods of prevention for mental illnesses. | 202501189349100515 |
| 2024 | Salvation Army Rancho Palos Verdes, CA | U | $5,000 | paid | Support for people experiencing mental illnesses. | 202501189349100515 |
| 2022 | Salvation Army City of Industry, CA | U | $10,000 | paid | Mental Health Services | 202311119349100501 |
| 2020 | Homes for Life Foundation Los Angeles, CA | B | $250,000 | paid | Services for mentally ill persons. | 202141369349100619 |
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 | 2025-12-31 | not stated | 2025v4.0 | 202601319349100505 |
| 990PF | 2024 | 2024-12-31 | not stated | 2024v5.1 | 202501189349100515 |
| 990PF | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202311119349100501 |
| 990PF | 2020 | 2020-12-31 | not stated | 2020v4.0 | 202141369349100619 |
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/680503143.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.