We Analyzed $182 Billion in Foundation Giving. Here's Where the Money Goes.
My foundation giving analysis is straightforward: the "top 50" story is real, but it is not the strategy. The real strategy is the long tail, because the foundation giving landscape is roughly $196B per year across 16,000+ funders, and most nonprofits are still competing like only 50 of them matter.
That mismatch is getting more expensive. In late 2025, reporting showed NIH awarded 22% fewer grants in 2025 than the typical prior-year baseline, a shock that is rippling through universities, health systems, and nonprofits that rely on research subawards and program partners. (forbes.com)
From my analysis of recent IRS filings in the SciRise foundation intelligence dataset, I'm convinced the next funding advantage comes from treating the long tail like a portfolio, not a scavenger hunt.
What did we actually analyze in this foundation giving analysis?
This is not a survey. It is transaction-level grant activity mapped back to funders and recipients.
From my analysis of 2023 to 2024 tax returns and matched grants, the dataset includes:
- Nearly $196B in annual foundation giving (latest filing per foundation)
- 16,000+ foundations with $1M+ in annual grantmaking and matched grant activity
- 2.5M+ individual grants analyzed
- 250,000+ matched nonprofit recipients (plus 1,800+ universities)
That is big enough to stop arguing from anecdotes and start arguing from coverage. The question becomes: are you systematically seeing the funders that already behave like funders in your domain?
Where the money concentrates, and why that is not the actionable part
Yes, foundation giving is concentrated. Everyone in the field feels it, especially if you have ever been told "we don't fund new grantees" after a six-week application cycle.
In the SciRise dataset, the top 50 foundations account for about 30% of total dollars in this landscape. That concentration is meaningful, but it is not where most organizations will win, because it pushes everyone into the same narrow lane.
Here's the more practical way to translate this into a development strategy:
| Segment | What it means in practice | What most orgs do | What works better |
|---|---|---|---|
| Top 50 | Huge checks, high visibility, crowded pipelines | Over-focus and over-customize | Pursue selectively, only when fit is obvious |
| Long tail (thousands of mid-size funders) | Collectively billions, often under-networked | Ignore or "prospect when we have time" | Build a repeatable system for coverage and outreach |
This is where foundation giving analysis should change behavior. The long tail is not a consolation prize. It is the only segment large enough to diversify your revenue without requiring celebrity-level access.
Most top-50 money is functionally inaccessible
Most fundraising teams are not "missing" the Gates Foundation. They are missing the 1,000 funders like their existing funders, because they do not have a reliable way to enumerate them.
Here is why top-50 prospecting is a poor default strategy: 74% of top-50 foundation dollars go to just the top 1% of recipients — roughly 2,500 organizations. The bottom 75% of nonprofits (about 188,000 organizations) receive only 2% of top-50 money.
| Nonprofit Tier | Nonprofits | Share of Top-50 $ |
|---|---|---|
| Top 1% | ~2,500 | 74% |
| Top 2–5% | ~10,000 | 16% |
| Top 6–10% | ~12,500 | 4.5% |
| Bottom 75% | ~188,000 | 2% |
For most organizations, top-50 money is not "hard to get." It is structurally allocated elsewhere.
The long tail is where diversified nonprofits actually get funded
In the SciRise data, 1,049,375 nonprofits have exactly one funder, with an average grant amount of about $8.0K. On the other end, only 10,645 nonprofits have 11+ funders, averaging about $6.3M.
A natural objection: maybe the multi-funder nonprofits are just the ones big enough to attract Gates and Ford. The data says otherwise. Of the 21,000+ nonprofits with 11+ funders, 78% receive the majority of their dollars from outside the top 200. The typical diversified nonprofit has about 23 funders, 20 of which are long-tail.
The long tail is not a consolation segment. It produces 1.6 million grants totaling $156B — larger in volume than the top 50 and top 51–200 combined.
With federal funding uncertain — NIH awarded 22% fewer grants in 2025 — concentration risk is becoming existential risk. (forbes.com)
"Where the money goes" is less about sectors, more about recipient behavior
When people hear "$182B in foundation giving," they often assume the main distribution question is category-level, like higher ed vs. nonprofits vs. other recipients.
That breakdown matters, but it is not the lever most teams can pull.
What teams can pull is their new recipient exposure: how often a foundation is willing to add new grantees, and how often your organization is in front of those foundations before the cycle is crowded.
In the dataset, foundations vary widely in the share of their giving that goes to new recipients. There is a real split between:
- funders that add almost no one new in a given year, and
- funders that routinely allocate a meaningful share to new relationships.
That should change your prospecting posture. If your prospect list is full of foundations that rarely fund new recipients, you are not "behind." You are mis-aimed.
If you want to build a long-tail strategy that performs, your foundation giving analysis has to do two things at once:
- Identify the mid-size funders that already fund your program area.
- Filter for funders with demonstrated openness to new recipients (or at least a pattern of rotating grantees).
That is how you turn "thousands of funders exist" into "here are the 120 that behave like our next 12."
Why this matters more in 2026 than it did a few years ago
Even if you do not touch federal dollars directly, the downstream effects hit you:
- Universities and hospitals cut partner budgets.
- National nonprofits reduce subawards.
- Local coalitions lose match funding.
- Multi-year commitments get "reforecasted" midstream.
Meanwhile, macro giving is not collapsing. Giving USA reporting for 2024 showed foundation giving around $109.8B, up slightly in current dollars, roughly flat inflation-adjusted. (bwf.com)
So the issue is not "philanthropy is gone." The issue is that competition for philanthropic dollars increases when other lanes tighten. In that environment, the long tail becomes the only scalable way to widen your shot map without betting the year on one or two long-shot whales.
What I would do next (if I ran your development shop)
If you only take one operational takeaway from this foundation giving analysis, take this: coverage beats cleverness.
A practical long-tail plan looks like this:
- Define your long tail band (for most orgs, that is funders giving $1M to $25M per year, or a tighter band based on your average ask).
- Build a prospect universe from behavior, not branding, meaning funders that already give to your issue, your geography, or your peer set.
- Score for openness, including new-recipient patterns and grant frequency.
- Run outreach in batches, so learning compounds, instead of reinventing the process for every "interesting" funder.
- Measure prospect concentration, and set an internal maximum for how much next-year revenue can depend on a single foundation.
If you want a starting point for building that coverage, I've laid out how we think about in practical terms.
Sources (external context)
- NIH grant awards declined in 2025 relative to prior-year norms (reported Dec. 8, 2025). (forbes.com)
- NIH funding cuts disrupted clinical trials and affected tens of thousands of participants (reported Dec. 2025). (apnews.com)
- Giving USA 2025 reporting on 2024 charitable giving and foundation giving totals. (bwf.com)