Grants paid by Cdg Care
EIN 81-0769799 · Colorado Spgs, CO · Form 990, Schedule I · NTEE H80
Cdg Care of Colorado Spgs, CO (EIN 81-0769799) reported 10 grants paid totaling $450,618 to 5 recipients in tax years 2022–2024, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$450,618
10 grants
Recipients
5
distinct organizations
Tax years
2022–2024
3 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2022 | 4 | $299,455 | — |
| 2023 | 3 | $0 | — |
| 2024 | 3 | $151,163 | — |
Top recipients
The 5 recipients receiving the most from Cdg Care, by grants paid, out of 5 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Perlara Pbc 46-5080858 | A | Berkeley, CA | 3 | $257,503 | 2024 |
| Nationwide Childrens Research 31-6056230 | A | Columbus, OH | 2 | $63,615 | 2024 |
| University of Georgia 26-6593571 | A | Athens, GA | 1 | $50,000 | 2022 |
| University of Minnesota 20-0648020 | A | Minneapolis, MN | 1 | $50,000 | 2022 |
| Washington University of St Louis 43-0653611 | A | St Louis, MO | 3 | $29,500 | 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 10 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Perlara Berkeley, CA | A | $68,048 | paid | RESEARCH PROJECTS | 202523109349301107 |
| 2024 | Nationwide Childrens Research Ctr Columbus, OH | A | $63,615 | paid | RESEARCH GRANT | 202523109349301107 |
| 2024 | Washington University in St Louis Saint Louis, MO | A | $19,500 | paid | RESEARCH GRANT | 202523109349301107 |
| 2023 | Perlara Pbc Berkeley, CA | A | $0 + $244,962 non-cash | paid | RESEARCH PROJECTS | 202443099349302274 |
| 2023 | Nationwide Childrens Research Columbus, OH | A | $0 + $108,655 non-cash | paid | RESEARCH GRANT | 202443099349302274 |
| 2023 | Washington University of St Louis St Louis, MO | A | $0 + $85,000 non-cash | paid | RESEARCH GRANT | 202443099349302274 |
| 2022 | Perlara Pbc Berkeley, CA | A | $189,455 | paid | RESEARCH PROJECTS | 202323139349305807 |
| 2022 | University of Minnesota Minneapolis, MN | A | $50,000 | paid | RESEARCH GRANT | 202323139349305807 |
| 2022 | University of Georgia Athens, GA | A | $50,000 | paid | RESEARCH GRANT | 202323139349305807 |
| 2022 | Washington University of St Louis St Louis, MO | A | $10,000 | paid | RESEARCH GRANT | 202323139349305807 |
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 | 2024 | 2024-12-31 | not stated | 2024v5.2 | 202523109349301107 |
| 990 | 2023 | 2023-12-31 | not stated | 2023v5.1 | 202443099349302274 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202323139349305807 |
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/810769799.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.