Funders › CO › Golden Pond Foundation › 2022
Grants paid by Golden Pond Foundation, tax year 2022
EIN 82-2314735 · Englewood, CO · Form 990-PF, Part XV · NTEE T20
In tax year 2022, Golden Pond Foundation (EIN 82-2314735) reported 6 grants paid totaling $682,500. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2022
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2022 | Goldman Sachs Philanthropy Fund Albany, NY | U | $220,000 | paid | CHARITABLE CONTRIBUTION 2022 | 202343199349106699 |
| 2022 | University of Colorado Foundation Denver, CO | B | $200,000 | paid | 2022 CHARITABLE CONTRIBUTION | 202343199349106699 |
| 2022 | Access Opportunity Boulder, CO | C | $112,500 | paid | CHARITABLE CONTRIBUTION 2022 | 202343199349106699 |
| 2022 | University of Colorado Foundation Denver, CO | B | $50,000 | paid | CHARITABLE CONTRIBUTION 2022 | 202343199349106699 |
| 2022 | Denver Police Academy League Denver, CO | D | $50,000 | paid | CHARITABLE CONTRIBUTION 2022 | 202343199349106699 |
| 2022 | American Red Cross Boone, IA | U | $50,000 | paid | CHARITABLE CONTRIBUTION 2022 | 202343199349106699 |
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.