Nonprofit Software Budget Benchmarks and Grant Alignment

The 1.1% figure that circulates as the nonprofit technology spending benchmark comes from Form 990 Part IX, line 14, and it measures what organizations report on that specific line, not what they spend on technology. Those two things are not the same, and the gap between them is the subject of this piece.

What Form 990 Line 14 Measures

Line 14 only captures hardware, software, and support services an organization pays for directly. It was built for tax reporting, not operational planning, so it misses categories that any real technology budget has to include: staff time spent managing systems, contractor payments routed through other lines, and depreciation on equipment bought in prior years. An organization's bottom-up number, built by adding up every invoice and every hour of staff time spent on IT, can run more than double what's reported on line 14. Adding payroll for the people who actually run the systems pushes the full cost well past that.

The bigger problem sits in the dataset itself. Most of the zeros that show up in nonprofit technology spending data represent missing information. The vast majority of organizations reporting no technology spending simply had no technology element anywhere in their source filing. The field was left blank, not filled in with a zero. That's a different kind of gap: it means most nonprofits cannot say, with any confidence, what they spent on technology last year without going back through invoices, contracts, and payroll records to rebuild the number by hand.

That gap matters most for organizations whose first product or system was built on a shoestring, maybe by a volunteer, maybe with a weekend's worth of off-the-shelf tools stitched together. Those organizations often have no clean record of technology cost because the cost was never tracked as technology cost. Studios like Quwa Labs work with nonprofits in exactly that position, rebuilding under-resourced technology stacks into something maintainable and, in the process, making the true cost of running the system visible for the first time. Until that cost is visible, no benchmark, 1.1% or otherwise, means much of anything.

The benchmark's misleading flat line across organization sizes

The median technology spending ratio barely moves as you scan across revenue bands, from small organizations to large ones. That flatness looks like evidence that technology demand is roughly constant regardless of an organization's size. Read the other way, size is the wrong variable to look at.

The Scottship benchmark data shows the spread inside any single revenue band is far wider than the spread between bands. Whatever decides how much a given nonprofit spends on technology lives inside that organization, in what it does and how it operates, not in how much money passes through it.

Mission area explains more of the variation than size does. Within a mid-sized revenue range, the median technology spending ratio reaches 1.46% among organizations working in mental health and crisis intervention, while organizations in philanthropy, voluntarism, and grantmaking report a considerably lower figure. Picturing the actual operations involved explains the reason. A single flat benchmark erases that distinction.

So when a board or an executive director uses 1.1% to set next year's technology target, they're borrowing a number that fits the median organization reasonably well and fits almost no specific organization well. The next question follows naturally: if size doesn't explain the gap, what does the benchmark actually tell an organization about the pressures it's responding to?

The structural pressures that make the benchmark's floor feel like a ceiling

Nonprofits don't underspend on technology because someone misread a benchmark. They underspend because the sector's overhead culture and the rising cost of software push organizations toward the bottom of the spending range and hold them there.

The pressure is familiar to anyone who has sat through a board budget review: minimize anything that looks like overhead, because overhead ratios get scrutinized by funders and by watchdog ratings that treat low overhead as a proxy for efficiency. The effect is that boards and executives treat the reported median as a safe ceiling to stay under, rather than as a rough description of what similar organizations happen to report.

Software pricing is making that pressure worse. Nothing about the size of the staff or the scope of the programs has to change for the same software stack to cost noticeably more.

SerenIT's nonprofit IT planning guide frames the decision to skip technology investment as the most expensive decision a nonprofit can make, because the costs that build up from neglected systems tend to run far larger than whatever was saved by not investing. The Scottship benchmark data backs that up with a specific pattern: real technology spending jumped sharply from 2019 to 2021, overshooting its prior trend, and kept rising in real dollar terms through 2023. The percentage looked stable, but the underlying demand on systems kept climbing.

Boards sometimes push back here: they argue a low technology ratio signals discipline, not under-investment. That argument has a real appeal, but the ratio alone cannot distinguish a lean, well-maintained stack from a neglected one. Only a direct look at the systems themselves, what they run on, how current they are, how well they hold up under real use, can tell the two apart. The starvation cycle pushes organizations toward the low end of the spending distribution, and that low number conceals deferred maintenance, fragile systems, and staff time spent firefighting.

Why the benchmark fails as a ceiling

Funders increasingly treat technology capacity as a proxy for how capable an organization is overall. The requirements attached to that evaluation, formal IT audits, multi-year technology roadmaps, explicit maintenance budgets, cannot be met by an organization whose only technology plan is to keep that line item as small as possible.

SerenIT's grant readiness guidance lays out what major foundation funders actually look for: a specific IT line item in the annual budget, kept separate from general overhead, a clear link between technology investment and the delivery of programs, and a sustainability plan describing how the technology will keep running once the grant period ends. Grant eligibility across the sector has shifted the same way, favoring technology framed as capacity-building infrastructure over technology framed as equipment purchases. Funders have largely stopped paying for standalone hardware, and now they fund the long-term capacity to run and maintain systems.

Several active grant programs in 2026 make that framing explicit. The Tech Impact Technology Innovation Awards offer $10,000 grants for technology projects with measurable community impact, requiring 501(c)(3) or 501(c)(4) status and a minimum annual operating budget of $500,000. Microsoft Tech for Social Impact provides grants and discounts across Azure, Microsoft 365, Dynamics 365, Power Platform, and Copilot, with eligible organizations receiving up to $2,000 per year in Azure credits plus donated Microsoft 365 licenses. The Fast Forward Accelerator combines unrestricted seed funding, typically $25,000 or more, with a mentorship curriculum built for tech nonprofit founders and leaders. The Twilio.org Impact Fund supports nonprofits that use digital communication technology, and in 2024 it awarded more than $4.8 million across more than 40 organizations. Every one of these programs asks, in some form, for the same thing: proof that technology investment connects to program delivery and a plan for keeping it running after the grant money is spent.

A recent change at Salesforce shows how quickly that proof can go stale. That's a real credibility problem for any nonprofit whose product or system was built on unstable foundations. Fixing it usually means treating a technology rebuild not as a one-off project expense but as the infrastructure investment that makes the rest of a grant's sustainability plan believable.

What a credible technology budget includes beyond line 14

A technology budget that can withstand a funder's scrutiny accounts for the total cost of running a system, not just the subscription fees that happen to land on line 14. That includes maintenance, security, training, and support, categories that rarely map to a single accounting line but appear constantly in day-to-day operations.

None of that maps cleanly onto line 14, and all of it costs money and staff time regardless.

Discount and donation programs can offset the sticker price, but they don't eliminate the underlying cost. TechSoup, Google for Nonprofits (which offers Google Workspace at no cost to eligible organizations), and Microsoft Tech for Social Impact all require staff time to apply, confirm eligibility, and keep the paperwork current. That time is itself a technology cost, even though it never appears as a software expense anywhere.

Pricing models vary enough across software categories that the number on a vendor's homepage often has little to do with what an organization ends up paying. CharityTracker's 2026 nonprofit software pricing guide points to three recurring budgeting mistakes: underestimating hidden fees, buying feature-heavy platforms that staff never end up using, and treating training and maintenance as recurring costs that actually need yearly planning.

Organizations running or considering custom-built software face a maintenance cost that typically runs to a meaningful share of the original build cost, every year, for as long as the system is in use. Practitioner recommendations for full technology spending sit well above the reported Form 990 median because most nonprofits fund technology partially and quietly absorb the rest as unpaid staff overtime and risk they're choosing not to look at too closely. SerenIT recommends the board put a specific IT line item in the annual budget, separate from general overhead, because a visible line lets an organization plan and shows funders it's actually managing its systems, not just hoping they hold together.

The build, buy, or partner decision, and budgets and grants

Whether an organization buys off-the-shelf software, builds something custom, or partners with an outside team to build and maintain custom software has direct consequences for grant eligibility, because funders want to see a roadmap and a maintenance plan that only a sustainable technology foundation can actually support.

Off-the-shelf software offers predictable cost and a fast setup, but per-user and per-contact pricing climbs as an organization adds staff or clients, a problem that's gotten sharper given SaaS prices rising well above general inflation through January 2026. A low-cost minimum viable product that skips automated testing and continuous integration is technical debt from the day it ships, and fixing it later almost always costs more than building it correctly the first time.

That technical debt runs directly into grant compliance. A funder asking for a multi-year technology roadmap will reject a proposal built on a codebase nobody can sustain, with no maintenance budget attached and no credible answer for how the system will stay current as the tools underneath it keep changing. That scenario is common among nonprofits that built a first version using AI tools or a freelance contractor and have since grown into a user base the original build was never designed to support.

That's the situation the partner-build path is meant to address: hiring an outside engineering team to build custom software and stay on for ongoing support, giving an organization more control than an off-the-shelf product without requiring it to hire every technical role in-house. Quwa Labs works with organizations in exactly that position, teams that shipped a first version, ran into the limits of "good enough," and need a technical partner to rebuild on solid foundations and stay on through ongoing maintenance. In that arrangement, the partner supplies engineering capacity the organization couldn't otherwise hire, keeping founders and program staff focused on mission work.

The standard objection is that buying will always be cheaper than building or partnering. Measured over three to five years, that comparison often reverses once it accounts for SaaS price escalation, growing seat counts, and the workarounds organizations build around feature gaps in off-the-shelf products, particularly for nonprofits whose workflows don't fit a generic template. That's also the hinge back to grant compliance: a sustainable technology foundation, whichever path produced it, is what makes a funder's required roadmap credible.

Airtable alternatives for programs, grants, and case management

Airtable is a common starting point for nonprofits tracking programs, grants, and client cases, and it's also a common point where organizations outgrow their tools.

Purpose-built nonprofit case management platforms, priced on flat or predictable per-organization terms rather than scaling per seat, are one direction to look.

For organizations whose case management, grant tracking, or program data needs have genuinely outgrown what any off-the-shelf platform offers, the build-or-partner path described above becomes a real option. A system built around the specific workflow a program actually runs, with a maintenance plan attached from day one, avoids the recurring cycle of outgrowing one general-purpose tool after another. Quwa Labs is one example of a studio built for that kind of work: it rebuilds or replaces a strained general-purpose tool with something designed around how a nonprofit's programs, grants, and cases actually move. The right choice depends on case volume, reporting requirements tied to specific grants, and how much the workflow has diverged from what a general-purpose tool was ever built to handle.