Grants paid by Devon C Rubenstein Foundation
EIN 83-2564580 · Gaithersburg, MD · Form 990, Schedule I · NTEE F30
Devon C Rubenstein Foundation of Gaithersburg, MD (EIN 83-2564580) reported 5 grants paid totaling $703,512 to 1 recipient in tax years 2019–2023, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$703,512
5 grants
Recipients
1
distinct organizations
Tax years
2019–2023
5 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2019 | 1 | $87,500 | — |
| 2020 | 1 | $50,000 | — |
| 2021 | 1 | $66,000 | — |
| 2022 | 1 | $255,294 | — |
| 2023 | 1 | $244,718 | — |
Top recipients
The 1 recipients receiving the most from Devon C Rubenstein Foundation, by grants paid, out of 1 distinct recipient.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Our Minds Matter 45-4313590 | A | Vienna, VA | 5 | $703,512 | 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.
Every grant
All 5 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2023 | Our Minds Matter Vienna, VA | A | $244,718 | paid | PROVIDE MENTAL HEALTH SUPPORT AND INITIATIVES TO SCHOOLS AND STUDENTS IN MONTGOMERY COUNTY. | 202422979349301202 |
| 2022 | Our Minds Matter Vienna, VA | A | $255,294 | paid | PROVIDE MENTAL HEALTH SUPPORT AND INITIATIVES TO SCHOOLS AND STUDENTS IN MONGOMERY COUNTY. | 202312149349301716 |
| 2021 | Our Minds Matter Vienna, VA | A | $66,000 | paid | PROVIDE MENTAL HEALTH SUPPORT AND INITIATIVES TO SCHOOLS AND STUDENTS IN MONTGOMERY COUNTY THROUGH SPEAKER PRESENTATIONS AND MENTAL AWARENESS CAMPAIGNS. INVEST IN MANY CAMPAIGNS TO FOSTER HELP-SEEKING BEHAVIOR, PROMOTE SOCIAL CONNECTEDNESS. | 202202629349300415 |
| 2020 | Our Mind Matter Vienna, VA | A | $50,000 | paid | PROVIDE MENTAL HEALTH SUPPORT AND INITIATIVES TO SCHOOLS AND STUDENTS IN MONTGOMERY COUNTY THROUGH SPEAKER PRESENTATIONS AND MENTAL AWARENESS CAMPAIGNS. INVEST IN MANY CAMPAIGNS TO FOSTER HELP-SEEKING BEHAVIOR, PROMOTE SOCIAL CONNECTEDNESS. | 202131249349302813 |
| 2019 | The Josh Anderson Foundation Vienna, VA | A | $87,500 | paid | SUPPORTING THE EXPANSION OF OUR MINDS MATTER PROGRAM IN MONTGOMERY COUNTY PUBLIC SCHOOLS | 202042169349300924 |
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 | 2023 | 2023-12-31 | not stated | 2023v5.1 | 202422979349301202 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202312149349301716 |
| 990 | 2021 | 2021-12-31 | not stated | 2021v4.2 | 202202629349300415 |
| 990 | 2020 | 2020-12-31 | not stated | 2020v4.1 | 202131249349302813 |
| 990 | 2019 | 2019-12-31 | not stated | 2019v5.1 | 202042169349300924 |
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/832564580.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.