Funders › TX › Mukul and Suman Sharma Foundation › 2025
Grants paid by Mukul and Suman Sharma Foundation, tax year 2025
EIN 82-5285371 · Austin, TX · Form 990-PF, Part XV · NTEE T22
In tax year 2025, Mukul and Suman Sharma Foundation (EIN 82-5285371) reported 6 grants paid totaling $12,025. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2025
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2025 | Iit Kanpur Foundation Palo Alto, CA | U | $6,025 | paid | CHILDREN, FAMILIES AND COMMUNITIES. | 202631119349101528 |
| 2025 | Austin Speech Labs Inc Austin, TX | B | $2,500 | paid | CHILDREN, FAMILIES AND COMMUNITIES. | 202631119349101528 |
| 2025 | Chinmaya Mission Austin, TX | U | $1,000 | paid | CHILDREN, FAMILIES AND COMMUNITIES. | 202631119349101528 |
| 2025 | Austin Hindu Temple Austin, TX | D | $1,000 | paid | CHILDREN, FAMILIES AND COMMUNITIES. | 202631119349101528 |
| 2025 | Ganga Prem Hospice Raiwala Rishikesh, UTTARAKHAND | U | $1,000 | paid | CHILDREN, FAMILIES AND COMMUNITIES. | 202631119349101528 |
| 2025 | Icmca Austin, TX | C | $500 | paid | CHILDREN, FAMILIES AND COMMUNITIES. | 202631119349101528 |
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.