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Texas · Nonprofit
FIRST3YEARS (Texas) is funded by 30 grantmakers whose IRS filings report $4,978,649 in grants to it, the largest being Episcopal Health Foundation ($1,202,064). 21 of them have funded it in more than one year.
Revenue, expenses and net assets — each indexed to 100 at its first filing year, so you read the trajectory, not the magnitude.
The funding model — what share of revenue comes from contributions, programs, investments and other sources — and whether it's shifting.
Government-grant reliance: 2024 33% · 2025 21%. Grants only — government contracts and fees sit inside program revenue.
Operating surplus or deficit each year, and months of liquidity in hand. 5 of the last 9 reported years ran a deficit.
$45k from 1 funders in 2025, up from $188k and 4 in 2017.
9 of 30 of your funders are donor-advised or pass-through sponsors (tagged DAF) — 17% of grant dollars received. That money is really individual donors directing a sponsor; the institutions to cultivate are the non-DAF funders.
From the IRS filings of FIRST3YEARS’s funders (the co-funder graph). Association, not causation.
FIRST3YEARS has a broad base — no single funder exceeds 24% of grant income, and it takes 3 funders to reach half.
the vertical line marks half of all grant income — 3 funders to its left
Largest funder’s share by year: 2017 69% · 2018 45% · 2019 59% · 2020 52% · 2021 37% · 2022 44% · 2023 37% · 2024 31% · 2025 100% — growing more concentrated.
“Effective funders” = inverse Herfindahl index (1 / Σ shareᵢ²) — the number of equal-sized funders that would give the same concentration.
38% of FIRST3YEARS's funders are still giving 3 years after their first grant; 70% give in more than one year at all.
Share of funders still giving k years after their first recorded grant, pooled across every acquisition cohort. A funder counts as retained in a year only if it made a grant that year.
FIRST3YEARS is locally rooted: 95% of its grant income comes from Texas funders.
In-state vs out-of-state, by year
Grantmakers that don’t fund you yet, surfaced two ways: they back organizations that share your funders, or their grantees resemble your mission. The ones both signals agree on come first. Your 30 funders put you under-funded among the 400 organizations that share them.
From the co-funder graph (funders backing at least two comparable organizations, shrunk for grantee count, donor-advised and mega-funds excluded) and the universe embeddings. A research starting point; overlap is association, not a guarantee of fit.
Grants and contracts to this organization from federal (USASpending) and state checkbooks, reconciled to its EIN. $140 on record.
Federal grants vs contracts are distinguished; state line items keep their reported category. Matched by name + geography (the BMF), so coverage is partial and precision-first.
Nonprofits whose mission and program text most resemble this one, by semantic similarity over the universe of US filings — the closest peers, and often the clearest route to shared or prospective funders.
Read directly from this organization’s own Form 990, as neutral context.
84% of spending goes to programs.
87%
Share of support from the public (Schedule A) — the basis for its public-charity status.
Every figure is read directly from IRS Form 990 / 990-PF e-file XML — this organization’s own return for FY2025 (financials across 2017–2025), and the filings of 30funders that report grants to it. “On record” means captured in the filings we have parsed — a funder that does not e-file, or whose grant detail is not itemized, will not appear. Filings run roughly 12–24 months behind. view filing