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Sri & Madhavi Beeram Foundation at a glance

· Private foundation

Sri & Madhavi Beeram Foundation

Its FY2023 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$35k
Granted FY2023
10
Grants FY2023
3
States reached
$17k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
01What it funds
0189% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2018 to 2023.

Religion$144kInternational$10kHealth$10kYouth Development$8kArts & Culture$7kCivil Rights$6kHuman Services$5kEducation$2kOther$0
02FY2023 · 10 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2023

  • Under $10k8 grants · $8k
  • $10k–50k2 grants · $27k
$1,501
Median grant
3
States reached
$606k
Total assets
Largest grants
RecipientAmount
SRI SHIRDI SAI BABA TEMPLE OF SAN A$16,817
MATHRUBHUMI$10,000
TASA$2,000
HINDU TEMPLE OF SAN ANTONIO$1,876
TANA FOUNDATION$1,501
ANUJA SA$1,000
SABCC$1,000
EKAL VIDYALAYA$730
TELANGANA ASSOCIATION OF GREATER SA$250
THE LEUKEMIA & LYMPHOMA SOCIETY$100
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Its human-services grants (FY18–23, $4k) land where the poverty rate runs at 16%, against an area that typically sits at 10%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%ANUJA SA: $1k → 16%ANUJA SA: $1k → 16%ANUJA SA: $1k → 16%ANUJA SA: $500 → 16%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.

Which US states its grants reach

IL
MI
NY
MA
CA
VA
TN
GA
TX
FL
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

79%of every dollar goes to organizations it has funded before.
$158k · 10 repeat orgs$42k to everyone else

Grantees it renews have grown median revenue +101% since the first grant, against -12% for those funded once.

10 repeat relationships: 6 still active in FY2023, 4 since wound down; 4 grantees were first funded in FY2023 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

10
17

Total granted

$158k
$29k

Median revenue growth · since first grant

+101%
-12%

Still filing today

30%
59%

New vs renewed · share of each year

In FY2023, 62% of grant dollars renewed an existing relationship; $13k went to new ones.

50%100%’18’19’20’21’22’23
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’18’19’20’21’22’23
EducationHealthHuman ServicesPhilanthropyInternationalYouth DevelopmentOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • SS
    SRI SHIRDI SAI BABA TEMPLE OF SAN A
    6× · 2018–2023 · $129k
  • HT
    HINDU TEMPLE OF SAN ANTONIO
    6× · 2018–2023 · $14k
  • T
    TASA
    4× · 2018–2023 · $6k

Funded once

  • PF
    PEOPLE FOR URBAN AND RURAL EDUCATION INC
    one grant, 2021 · $8k · revenue -80%
  • IF
    ISHA FOUNDATION INC
    one grant, 2022 · $8k · revenue +20%
  • IG
    Individual grant recipient
    one grant, 2022 · $5k
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.

1
Sahayog Foundation
Community Improvement
2
Satyagraha Foundation
Religion
3
Swami Dayanand Education Foundation
Education
4
The Sai Ram Foundation
Philanthropy
5
India Awareness Foundation Inc

Public education

Education
6
Sadvidya Foundation

Education

Religion
7
Samjivani Foundation
Philanthropy
8
Ek Kadam Aur

Transforming lives of underprivileged children through education, technology, healthcare programs, and connection with a global network of qualified volunteers and mentors.

International
9
Southern Asian Public Health Association
Health
10
Simha Foundation
Philanthropy
11
Sanjay Shah Foundation
Philanthropy
12
Annapurna Global Foundation
Philanthropy
How this is measured
The grantee most central to the portfolio’s shape is Isha Foundation Inc; the most unlike its peers is Talukdar Family Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
04the grantee network

14 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 14 of the 31 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
3
Early backer (in before they grew)
14/14
Grantees still filing
6/14
Grew since first funded

Where the money sits, by cause and then by grantee

SRI SHIRDI SAI BABA TEMPLE OF SAN A: $129,078 · OtherSRI SHIRDI SAI BABA TEMPLE OF SAN AHINDU TEMPLE OF SAN ANTONIO: $13,984 · OtherHINDU TEMPLE OF SAN ANTONIOTASA: $5,711 · Other+15 more: $18,488 · Other+15 moreMATHRUBHUMI: $10,000 · InternationalISHA FOUNDATION INC: $7,500 · EducationAUM EDUCATION SOCIETY OF TEXAS: $1,001 · EducationSAINT MARYS HALL INC: $1,000 · EducationPEOPLE FOR URBAN AND RURAL EDUCATION INC: $7,500 · Youth DevelopmentANUJA SA INC: $3,500 · Human ServicesSewa International Inc: $480 · Human ServicesARTHRITIS FOUNDATION INC: $500 · HealthAmerican Heart Association Inc: $500 · HealthBLOOD CANCER UNITED INC: $200 · HealthGOFUNDMEORG: $525 · PhilanthropyTALUKDAR FAMILY FOUNDATION: $300 · PhilanthropySAN ANTONIO FIGHTING BACK INC: $250 · Community Improvement
Other$167,261International$10,000Education$9,501Youth Development$7,500Human Services$3,980Health$1,200Philanthropy$825Community Improvement$250

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetMATHRUBHUMI: $10,000 over 1y, 15% of budgetPEOPLE FOR URBAN AND RURAL EDUCATION INC: $7,500 over 1y, 0.9% of budgetISHA FOUNDATION INC: $7,500 over 1y, 0.0% of budgetANUJA SA INC: $3,500 over 4y, 0.8% of budgetSUPPORT OUR TROOPS INC: $3,345 over 1y, 0.0% of budgetAUM EDUCATION SOCIETY OF TEXAS: $1,001 over 1y, 0.2% of budgetSAINT MARYS HALL INC: $1,000 over 1y, 0.0% of budgetGOFUNDMEORG: $525 over 1y, 0.0% of budgetARTHRITIS FOUNDATION INC: $500 over 1y, 0.0% of budgetAmerican Heart Association Inc: $500 over 1y, 0.0% of budgetSewa International Inc: $480 over 2y, 0.0% of budgetBLOOD CANCER UNITED INC: $200 over 2y, 0.0% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

  • Who funds MATHRUBHUMI ↗
  • Who funds PEOPLE FOR URBAN AND RURAL EDUCATION INC ↗
  • Who funds ISHA FOUNDATION INC ↗
  • Who funds ANUJA SA INC ↗
  • Who funds SUPPORT OUR TROOPS INC ↗
  • Who funds AUM EDUCATION SOCIETY OF TEXAS ↗
  • Who funds SAINT MARYS HALL INC ↗
  • Who funds GOFUNDMEORG ↗
  • Who funds ARTHRITIS FOUNDATION INC ↗
  • Who funds American Heart Association Inc ↗
  • Who funds Sewa International Inc ↗
  • Who funds TALUKDAR FAMILY FOUNDATION ↗
  • Who funds SAN ANTONIO FIGHTING BACK INC ↗
  • Who funds BLOOD CANCER UNITED INC ↗

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

Botla Charitable Fami…Verizon FoundationAmerican Online Givin…The Blackbaud Giving …The Bank of America C…Vanguard Charitable E…Donor Advised Charita…Fidelity Investments …Amazonsmile Foundation
Botla Charitable Family FoundationCA13.6× affinity4 shared granteesties to 7 of 8Hover any node to trace its alignments.Compare side by side →

Open a dossier: Botla Charitable Family Foundation · Verizon Foundation · American Online Giving Foundation Inc · The Blackbaud Giving Fund · The Bank of America Charitable Foundation Inc · Vanguard Charitable Endowment Program · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Sri & Madhavi Beeram Foundation funds: left to right is the share of its income from government, bottom to top the share from Sri & Madhavi Beeram Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%1%5%11%20%funder's share of their income ↑0%13%25%38%50%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–50%
    typical government reliance, FY20–25
    How this is measured
    Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 31 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

    Generated from the IRS Form 990-PF e-file return for fiscal year 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Sri & Madhavi Beeram’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home