funder-graph › Recipients
Who funds Mitchell Chang Foundation
EIN 82-5209603 · San Antonio, TX · NTEE T30
Mitchell Chang Foundation of San Antonio, TX (EIN 82-5209603) was named as a grant recipient by 6 funders in 10 grants paid totaling $885,329 in tax years 2019–2025, 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
$885,329
10 grants paid
Funders
6
distinct grantmakers
Tax years
2019–2025
as reported by funders
Funders
| Funder | State | Match | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Fidelity Investments Charitable Gift Fund 11-0303001 | MA | A | 3 | $704,900 | 2025 |
| Vanguard Charitable Endowment Program 23-2888152 | PA | A | 1 | $125,000 | 2022 |
| The Texas Cavaliers Charitable Foundation 74-2546003 | TX | A | 1 | $50,000 | 2023 |
| Faye L & William L Cowden Charitable Foundation 74-6359520 | TX | B | 1 | $5,000 | 2024 |
| The Bank of America Charitable Foundation Inc 20-0721133 | NC | B | 1 | $250 | 2019 |
| Amazonsmile Foundation 46-2626883 | WA | B | 3 | $179 | 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 10 most recent grants naming this organization.
| Tax year | Funder | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|---|
| 2025 | Fidelity Investments Charitable Gift Fund | Mitchell Chang Foundation San Antonio, TX | A | $379,500 | paid | For grant recipient's exempt purposes | 202601389349301700 |
| 2024 | Fidelity Investments Charitable Gift Fund | Mitchell Chang Foundation San Antonio, TX | A | $185,400 | paid | For grant recipient's exempt purposes | 202521349349310887 |
| 2024 | Faye L & William L Cowden Charitable Foundation | Mitchell Chang Foundation San Antonio, TX | B | $5,000 | paid | CHARITABLE | 202411369349101286 |
| 2023 | Fidelity Investments Charitable Gift Fund | Mitchell Chang Foundation San Antonio, TX | A | $140,000 | paid | For grant recipient's exempt purposes | 202441369349301334 |
| 2023 | The Texas Cavaliers Charitable Foundation | Mitchell Chang Foundation San Antonio, TX | A | $50,000 | paid | ALL INCLUSIVE PLAYGROUND | 202410169349302511 |
| 2023 | Amazonsmile Foundation | Mitchell Chang Foundation San Antonio, TX | B | $59 | paid | GENERAL SUPPORT | 202540919349100629 |
| 2022 | Vanguard Charitable Endowment Program | Mitchell Chang Foundation San Antonio, TX | A | $125,000 | paid | For recipient's exempt purpose | 202331359349303108 |
| 2022 | Amazonsmile Foundation | Mitchell Chang Foundation San Antonio, TX | B | $58 | paid | GENERAL SUPPORT | 202313119349100141 |
| 2020 | Amazonsmile Foundation | Mitchell Chang Foundation San Antonio, TX | B | $62 | paid | GENERAL SUPPORT | 202113199349100901 |
| 2019 | The Bank of America Charitable Foundation Inc | Mitchell Chang Foundation San Antonio, TX | B | $250 | paid | PROGRAM/OPERATING SUPPORT | 202001499349100200 |
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.