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How Much Money Do Apps Make? 2026 Benchmarks

By SayCraft Team · 2026-06-12 · 7 min read

There is no trustworthy average for every app, but there are useful 2026 benchmarks for subscription apps. Revenue is highly uneven, so the useful comparison is the median, upper quartile, and top decile—not a headline hit or an arithmetic average pulled upward by a few winners.

The honest distribution

The best public dataset on this is RevenueCat's State of Subscription Apps 2026, covering more than 115,000 apps and $16 billion in revenue. Among new subscription apps, 17.3% reached $1,000 in monthly revenue and 4.6% reached $10,000 within their first two years. These are subscription-app benchmarks from one large dataset, not a guarantee for every app category.

One year after launch, the cross-category monthly-revenue benchmarks were approximately $72 at the median, $429 at the upper quartile, and $2,574 for the top 10%. The gap is the point: use a percentile and a time horizon when planning, and keep market-specific assumptions separate from measured data.

Turn benchmarks into planning scenarios

The examples below are arithmetic scenarios, not claims about what is common. They help you see which input—paying users, price, transaction volume, or audience size—must be true for a model to work.

• Niche subscription tool (a booking tool for tutors, a quoting app for a trade): 20 subscribers at $10/month → $200/month; 100 subscribers at $20/month → $2,000/month, before store fees, taxes, refunds, and costs.
• Transaction-fee tool (bookings, orders): a 5% cut of $10,000/month flowing through one busy client → $500/month per client. Five clients is a salary supplement that scales with their volume, not your hours.
• Digital goods app (templates, presets, guides): a $29 product selling twice a day → ~$1,700/month with near-zero support and no churn to fight. Slower to start.
• Ad-supported free app: meaningful money needs tens to hundreds of thousands of active users. At small scale, revenue per download is cents — the wrong model for almost everyone reading this (the full model-by-model math is in how do free apps make money).

What separates the apps that earn

• They charge a group that already spends. The dog groomer paying $40/month for clunky booking software switches easily; someone who's never paid for anything doesn't start with you.
• They're narrow. “For wedding photographers” beats “for everyone” — the narrow app gets found, gets recommended, and justifies its price.
• They charged from day one. A price is the only honest signal of demand. The earners found out in week two whether anyone would pay; the stalled apps spent a year “growing first.”
• They kept costs near zero. The new economics matter here: when the build costs a conversation instead of $30,000, a $400/month app is a success instead of a write-off.

The bottom line

Plan with a percentile, a time horizon, and the limits of the dataset. The 2026 subscription- app median is a sobering baseline; the upper quartile and top decile show the upside without pretending it is typical. Then test your own price, retention, and distribution assumptions. The playbook for doing that—models, pricing, and a build-small-charge-early path—is in how to build an app and make money; ideas worth testing are in 50 app ideas; and since testing one now costs a conversation on a free AI app builder, the cheapest way to know what your app would make is to ship the small version and ask for money.

Build the small version by talking