funder-graph › Recipients
Who funds Good Dog Rescue
EIN 81-3758756 · Fort Lupton, CO · NTEE D20
Good Dog Rescue of Fort Lupton, CO (EIN 81-3758756) was named as a grant recipient by 6 funders in 13 grants paid totaling $81,365 in tax years 2018–2024, as reported on the funders' Forms 990-PF and 990 Schedule I. Each edge was resolved to this EIN at the match tier shown. Dataset version 2026.09.0, built 2026-09-03.
Grants received
$81,365
13 grants paid
Funders
6
distinct grantmakers
Tax years
2018–2024
as reported by funders
Funders
| Funder | State | Match | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Silicon Valley Community Foundation 20-5205488 | CA | A | 1 | $25,000 | 2020 |
| Colorado Gives Foundation 51-0157964 | CO | A | 3 | $21,062 | 2024 |
| Network for Good 68-0480736 | DC | A | 3 | $20,616 | 2022 |
| Townsend Foundation C/O Cayle Townsend 81-1388852 | CO | B | 2 | $8,000 | 2024 |
| Petsmart Charities Inc 93-1140967 | AZ | A | 1 | $5,450 | 2019 |
| Amazonsmile Foundation 46-2626883 | WA | B | 3 | $1,237 | 2023 |
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.
Grants
The 13 most recent grants naming this organization.
| Tax year | Funder | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|---|
| 2024 | Colorado Gives Foundation | Good Dog Rescue Fort Lupton, CO | A | $6,198 | paid | GENERAL PURPOSE | 202543169349306549 |
| 2024 | Townsend Foundation C/O Cayle Townsend | The Good Dog Rescue Ft Lupton, CO | B | $4,000 | paid | GENERAL FINANCIAL SUPPORT | 202501289349100745 |
| 2023 | Colorado Gives Foundation | Good Dog Rescue Fort Lupton, CO | A | $5,547 | paid | GENERAL PURPOSE | 202413169349305346 |
| 2023 | Townsend Foundation C/O Cayle Townsend | The Good Dog Rescue Ft Lupton, CO | B | $4,000 | paid | GENERAL FINANCIAL SUPPORT | 202402119349100025 |
| 2023 | Amazonsmile Foundation | The Good Dog Rescue Fort Lupton, CO | B | $428 | paid | GENERAL SUPPORT | 202540919349100629 |
| 2022 | Network for Good | The Good Dog Rescue Fort Lupton, CO | A | $7,526 | paid | UNRESTRICTED | 202342939349300849 |
| 2022 | Amazonsmile Foundation | The Good Dog Rescue Fort Lupton, CO | B | $625 | paid | GENERAL SUPPORT | 202313119349100141 |
| 2020 | Silicon Valley Community Foundation | Good Dog Rescue Westminster, CO | A | $25,000 | paid | Animal Welfare | 202103199349327615 |
| 2020 | Community First Foundation | The Good Dog Rescue Fort Lupton, CO | A | $9,317 | paid | GENERAL PURPOSE | 202143199349303764 |
| 2020 | Network for Good | The Good Dog Rescue Fort Lupton, CO | A | $7,361 | paid | Unrestricted | 202131819349300608 |
| 2020 | Amazonsmile Foundation | The Good Dog Rescue Fort Lupton, CO | B | $184 | paid | GENERAL SUPPORT | 202113199349100901 |
| 2019 | Petsmart Charities Inc | Good Dog Rescue Fort Lupton, CO | A | $5,450 | paid | ADOPTION | 201932479349301113 |
| 2018 | Network for Good | The Good Dog Rescue Fort Lupton, CO | A | $5,729 | paid | Unrestricted | 201941789349300019 |
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 inferred and should be read as leads until the check is published on the methodology page.
Derived from IRS Form 990-PF and Form 990 Schedule I e-file XML filed by the funders shown; this organization's identity from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The rows as Parquet: manifest.
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.