How Much Should a Growing Company Spend on Software per Employee?

By Victor Hoang · Updated Oct 11, 2026

Sooner or later someone on the leadership team asks for a number. "What do companies our size spend on software per head?" It's a fair question. A single figure makes a bloated stack easy to spot and a frugal one easy to defend.

Here's the position this piece argues: spend per employee is a smoke detector, not a thermostat. It tells you when something is probably wrong. It can't tell you what the right level is, because the right level depends on what your people produce with the tools and how fast your headcount is changing. A company that spends twice the benchmark and doubles output per person is fine. A company that sits exactly on the benchmark while half its licenses go unused is not.

So the useful sequence is: benchmark first, then judge the stack by output per person, and only then decide whether to cut, hold or grow the budget.

Why the Question Is Harder Than It Looks

The ratio has two moving parts, and growing companies move both at once. The numerator is software cost. The denominator is headcount. If you hire 40 people in a year, your spend per employee can fall even while total spend climbs, simply because the new hires haven't been given all the tools yet. If you freeze hiring, the same spend per employee can climb with no change in your stack.

That makes the metric noisy for any single quarter. It's most reliable as a trend over several quarters, read next to two other numbers: headcount plans and productivity. We'll come back to both.

There's a second problem. "Software spend" means different things in different reports. Some count only SaaS subscriptions. Some include infrastructure and developer tooling. Some are annual, some are monthly, some are per company and some per head. Before you compare yourself to anyone, check that you're measuring the same thing. Pull the same scope from your own books and write down what's in and what's out.

What Published Benchmarks Say

Benchmarks for this number come from SaaS-management and procurement vendors, who see spend data across many customers. They're vendor data, they cover the customers those vendors have, and they're useful as a rough range rather than a standard. Two sources are worth knowing.

Key Facts

• Zylo's 2026 SaaS Management Index, released January 29, 2026, reports median SaaS spend per employee of $9,455. It draws on more than 40 million SaaS licenses and $75 billion in spend under management.
• The same index says organizations leave an average of 36% of their SaaS licenses unused, measured against industry-recommended utilization levels.
• Vertice reports SaaS spend per employee rose to $9,324 in Q2 2026, up 1.3% from $9,200, which had held flat for three consecutive quarters through Q1 2026.
• Vertice also says SaaS inflation reached 16.4% in June 2026, the highest monthly rate it has recorded.

Read those as a range. Two independent vendors, using their own customer data and their own definitions, land in the same neighborhood: roughly $9,000 to $9,500 per employee per year. Vertice describes its metric as annual software expenditure per head and doesn't publish a sample size or method. Zylo gives the license and spend base but not a company count.

Three cautions before you put either number in a board deck.

Don't mix editions. Zylo's 2025 index, released January 16, 2025, reported $4,830 per employee, and described it as a 21.9% increase on the prior year. That's less than half the 2026 median. The two reports used different spend bases ($40 billion versus $75 billion under management), and the 2026 page gives a median where the 2025 page gives a headline figure. Don't subtract one from the other and call it growth. Use the newest edition, say which year it is, and keep it separate from anything older.

Mind the median. A median is the middle company. An average gets pulled up by very large, software-heavy firms. For a growing mid-sized company, the median is the better reference point.

Remember who's in the sample. These customers have invested in SaaS management tools or procurement help. They're not a random cross-section of all companies, and a company with a leaner or looser stack than the typical customer will legitimately sit off the range.

One more signal is worth more than the headline number. That 36% unused-license figure suggests that for the typical organization, a meaningful slice of spend buys nothing. So when you compare yourself to a benchmark, you're also comparing your waste to everyone else's. Hitting the median doesn't mean your spend is productive. It may only mean you're as wasteful as your peers.

A Rough Benchmark Check You Can Run This Week

This takes an hour with finance. The numbers below are illustrative, not drawn from any report.

Say you're a 200-person company with software spend of $1.6 million a year. That's $8,000 per employee (my arithmetic: $1,600,000 divided by 200). Against a median of roughly $9,455 you look about 15% under range. Is that good?

Not necessarily. Next year you plan to hire 60 people. If they each need the core stack, spend rises roughly in line with headcount, and the ratio holds. If the new hires are in functions with heavier tooling, such as engineering or data, the ratio rises. Meanwhile, if renewals come in with price increases like the ones Vertice describes, the ratio rises with no new tools at all.

So the check has three steps. Compute your current number on a defined scope. Project it forward using your hiring plan and your known renewal uplifts. Then compare both numbers to the benchmark range. A forward ratio far above the range is a prompt for questions. A current ratio far below it is also a prompt, because you may be under-equipping people.

Why Output per Person Is the Real Measure

Here's where most benchmark conversations go wrong. They stop at the ratio.

Software exists to raise what each person can produce or to let you do the same work with fewer people. If it does neither, it's overhead, however cheap per head. If it does either, a high spend per employee can be a bargain.

That's why the number belongs next to a productivity measure that fits the function. Pick one per team and keep it simple.

• Sales: revenue or qualified pipeline per rep, and ramp time for new hires.
• Support: tickets resolved per agent, and time to resolution.
• Engineering: cycle time from commit to release, or features shipped per engineer per quarter.
• Finance and operations: hours to close the books, or transactions processed per person.

Then ask the one question that matters: when we added or upgraded this tool, did the productivity number move? If you can't answer, that's the finding. Our piece on the true cost of software sprawl covers the hidden costs, such as integration upkeep, manual re-entry and context switching, that make per-head spend look cheaper than it is.

There's also a pricing-model wrinkle. When a vendor moves from seats to usage, your per-employee number gets harder to read, because cost no longer tracks headcount. We cover that shift in why seat-based pricing is under pressure and in how to budget AI spend as pricing becomes metered. If AI tools are a growing share of your bill, consider tracking them as a separate line so they don't distort the core ratio. Whether to give everyone an AI budget at all is its own question, covered in should every employee get an AI budget.

A Decision Table: What Your Ratio and Your Output Are Telling You

Put your spend per employee and your output trend side by side. The combination matters more than either number.

The top-right cell is where money disappears. High spend, no gain. It's also where a clear-eyed audit pays off fastest, because the savings are real and the productivity risk of cutting is low.

The bottom-right cell is the one people overlook. Cheap software that doesn't help isn't cheap. If a team spends hours a week on manual work a modest tool would remove, the lower software bill is hiding a bigger labor bill.

How Headcount Plans Change the Answer

Growing companies tend to budget software as a percentage of the prior year, or as a flat amount per new hire. Both are blunt.

Per-hire budgeting has a trap: it assumes every new person needs the full stack. Often they need a subset, and the full stack is bought in anticipation. Seat-based contracts then charge for people who aren't there yet. Negotiate ramp terms where you can, with seats that grow as hires land instead of a full commitment on day one.

Percent-of-prior-year has the opposite trap: it bakes in last year's waste. If 36% of licenses were idle then, you're funding them again.

A better method is to build the budget by function and role. For each, list the tools that role truly needs, what each costs per seat or per unit, and the headcount you expect by quarter. Then add a contingency line for renewal price increases, since they now arrive whether you add anything or not. This takes longer than a percentage, but it ties spend to the hiring plan and makes the per-employee ratio an output of decisions rather than an input to them.

If the plan includes consolidating onto fewer platforms, weigh that against specialist tools before you assume savings. We cover the trade-off in all-in-one platform or best of breed.

When to Break the Benchmark on Purpose

Sometimes spending well above the range is the right call.

• You're automating a role-heavy process. Spending more per head on tooling that lets a team of ten do the work of fifteen is a good trade if you actually hold hiring.
• Your industry is software-intensive. An engineering-heavy company will run well above one that's mostly field staff. A cross-industry median is a poor guide to either.
• You're early in a platform bet. Running two systems in parallel during a migration inflates the ratio temporarily. That's a cost of switching, and it should have an end date.

And sometimes spending well below the range is a warning. If people are keeping spreadsheets because the system of record is too limited, or paying personally for tools they need, you're not saving. You're moving the cost out of the software line and into time and risk.

The rule is the same either way: if you break from the benchmark, write down why, name an owner, and set a date to check whether the reason held.

What to Do Next

1. Define the scope. Decide what counts as software spend (subscriptions only, or also infrastructure and developer tools), annual or monthly, and which headcount you divide by. Write it down so next year's number is comparable.
2. Compute your ratio and project it. Calculate today's spend per employee, then project it using your hiring plan and known renewal uplifts. Use the same formula each time.
3. Compare to the newest benchmark, with its year. Treat the published range as a rough band from vendor data, and note which edition you used. Don't mix editions.
4. Pair it with one output measure per function. Choose the simple productivity number from the list above and track it quarterly next to the ratio.
5. Use the decision table. Place each team in a cell. Audit the high-spend, flat-output teams first (overlapping tools bought team by team are the usual cause, so settle which tools to standardize and which to leave to teams), and investigate the low-spend, flat-output ones for under-investment.
6. Rebuild next year's budget by role, not by percentage. Tie each seat to a role and a hiring quarter, and add a line for renewal increases. For a structured way to compare vendors during that process, see our SaaS vendor evaluation scorecard.
7. Review utilization before renewals. Ask for usage data on every contract at least 90 days out. Cancel or shrink what's idle before you negotiate anything else. Idle seats usually trace back to a rollout nobody owned, which is why software tends to fail after the contract is signed, not during selection.

A spend-per-employee number is worth having, and worth distrusting. Compute it, compare it to the range, and then do the harder work: find out whether the software your people use is making each of them able to do more. That's the number your budget should answer to.