SaaS Revenue Benchmarks 2026: Real MRR Data from 5,000+ Startups

Almost every "SaaS revenue benchmark" report you have ever read shares one fatal flaw: it studies the wrong companies. The standard reports from venture funds and CFO firms survey private B2B SaaS companies with $1M to $20M in ARR — a slice that excludes the vast majority of real startups on earth. If you are an indie hacker, a bootstrapper, or a founder building toward your first $10K MRR, those reports describe a world you do not live in.

This report is different. It is built on TrustMRR, BigIdeasDB's first-party revenue intelligence dataset of 5,000+ real, named startups with observed revenue, traffic, growth, and profit-margin signals — not survey responses, not self-reported claims, not the venture-backed elite. It is the long tail of actual SaaS: the apps doing $24/month, the side projects doing $880, and the rare breakout doing $3.5M. That is what a real saas revenue benchmarks 2026 picture looks like, and it is data competitors cannot match because it is ours.

Below you will find the actual MRR distribution by percentile, a full benchmark table of median revenue, growth, and profit margins by category, and a clear answer to the question everyone is really asking: what is a good MRR for SaaS? You can explore the same live numbers yourself inside TrustMRR, our revenue intelligence tool.

Table of Contents

• The Headline Numbers: SaaS MRR in 2026
• What Is a Good MRR for SaaS? (The Percentile Answer)
• SaaS Revenue Benchmarks by Category (The Table)
• SaaS Growth Benchmarks 2026: The Brutal Truth
• SaaS Profit Margins by Category
• MRR vs ARR: How to Read These Numbers
• How This Data Was Built (Methodology)
• Frequently Asked Questions

The Headline Numbers: SaaS MRR in 2026

Across the 3,478 startups in the TrustMRR dataset that report any paying revenue, here is what monthly recurring revenue actually looks like in 2026:

• Median MRR: ~$136/month. Half of all revenue-generating SaaS startups make less than this.
• 25th percentile: ~$29/month. A quarter are still effectively pre-revenue.
• 75th percentile: ~$880/month. Cross this and you are in the top quarter.
• 90th percentile: ~$5,163/month. The top 10% of revenue-generating startups.
• Average (mean) MRR: ~$4,424/month — wildly higher than the median, because a few giant outliers (the largest exceeds $3.5M MRR) distort the average.

The single most important lesson here: never trust an "average MRR" number. SaaS revenue is one of the most right-skewed distributions in business. The gap between the $4,424 mean and the $136 median exists because a tiny handful of winners carry the entire average. That is why this report leads with percentiles, and why our companion analysis on how fast SaaS startups actually grow matters more than any vanity growth chart.

The concentration is even starker when you look at revenue tiers. Of the startups we track:

• Only about 823 have crossed $1,000 MRR.
• Only about 203 have crossed $10,000 MRR — roughly 1 in 17 of the revenue-generating cohort.
• Only about 21 have crossed $100,000 MRR across the entire dataset.

What Is a Good MRR for SaaS? (The Percentile Answer)

A good MRR is any number that puts you above the percentile you are targeting for your stage. That is the honest, data-backed answer. Concretely, based on the TrustMRR distribution:

• $0–$136 MRR: You are in the bottom half. Normal for the first 1–6 months. Focus on getting any paying customer.
• $136–$880 MRR: Above the median, below the top quartile. You have product-market signal; now it is a distribution problem.
• $880–$5,163 MRR: Top 25% of revenue-generating startups. A legitimate side income or a fundable wedge.
• $5,163+ MRR: Top 10%. This is the threshold where a micro-SaaS becomes a real business or a credible acquisition target you could sell.
• $10,000+ MRR ($120K ARR): Roughly the top 6% of revenue-generating startups in our data — the classic "ramen profitable and then some" milestone.

If you cross $1,000 MRR, you are already ahead of roughly two-thirds of the revenue-generating startups we track. Hold that next to the standard B2B reports claiming median growth of 26% on a $1M+ ARR base, and you can see why those benchmarks are irrelevant to most founders — they start measuring at a point most startups never reach.

SaaS Revenue Benchmarks by Category (The Table)

Here is the core benchmark table. Each row is a real category from the TrustMRR dataset, showing the number of startups tracked, their median MRR, average MRR, average 30-day growth, and average software profit margin. All revenue figures are in US dollars per month.

Two things jump out. First, median MRR is low almost everywhere — most categories sit between $0 and $24. That is not a flaw in the data; it is the reality of a market dominated by early-stage products. Second, profit margins are uniformly excellent, mostly in the 55–85% band. The economics of SaaS are real; the hard part is getting to meaningful revenue at all. For the matching valuation lens on these same categories, see our profit multiples by SaaS category for 2026.

SaaS Growth Benchmarks 2026: The Brutal Truth

Most SaaS startups grow slowly or not at all — and the jaw-dropping growth numbers belong to a tiny set of products in their first months of revenue. The category table makes this vivid. Marketplace shows an average 30-day growth of 3,566.9% and Real Estate 988.2%, while established categories like Sales (1.6%) and Mobile Apps (0.6%) barely move.

The explanation is simple math: a product that goes from $1 to $40 in a month posts "4,000% growth." Those triple- and quadruple-digit averages are a base-effect illusion, driven by a few brand-new products coming off near-zero revenue — not by sustainable hypergrowth across the category. Across the full dataset the average 30-day growth figure is inflated by the same effect, which is exactly why the median founder experience is slow-and-steady, not viral.

This is also why Artificial Intelligence — the largest category at 1,213 tracked startups — shows a roughly 99.9% average growth figure but only a $7 median MRR. AI is where everyone is building (the gold rush is real), but the median AI product is still hunting for its first handful of paying customers. We unpack the realistic growth curves in depth in how fast do SaaS startups actually grow.

SaaS Profit Margins by Category

If revenue is the hard part, margins are the reward. TrustMRR data confirms the textbook SaaS thesis: once a product is running, software economics are exceptional. By category, average profit margins land at:

• Games: ~84.7% — the highest in the dataset, helped by low ongoing delivery cost.
• Community: ~79.9% and Mobile Apps / micro-SaaS: ~79.5% — asset-light by design.
• Sales (~68.8%), Health & Fitness (~68.7%), Real Estate (~68.7%), Marketing (~68.1%): the broad B2B middle.
• Artificial Intelligence: ~63.4% — slightly lower, reflecting compute and inference costs.
• Marketplace (~62.6%), Social Media (~56.3%), Security (~55.5%): the lower end, where infrastructure and trust costs bite.

The contrast with the venture world is instructive: Bessemer recently pegged scaling AI companies at around 25% gross margin because of compute costs, whereas our broader dataset of mostly-bootstrapped AI products averages 63.4%. Smaller, leaner products often run leaner cost structures than the funded giants. Those healthy margins are also what underpins SaaS valuation multiples in 2026 — buyers pay for durable, high-margin recurring revenue.

MRR vs ARR: How to Read These Numbers

Every figure in this report is MRR — monthly recurring revenue. To translate to ARR (annual recurring revenue), multiply by 12. So the median $136 MRR is roughly $1,632 ARR; the 90th-percentile $5,163 MRR is about $62,000 ARR; and the $10,000 MRR milestone is $120,000 ARR.

That distinction is not pedantic — MRR, ARR, and trailing-twelve-month (TTM) revenue each tell a different story, and conflating them is one of the most common ways founders misread their own business and misprice an acquisition. We break down exactly when to use each in MRR vs ARR vs TTM revenue explained.

How This Data Was Built (Methodology)

TrustMRR is observed first-party data, not a survey. The dataset covers 5,000+ real, named startups (3,478 of which report any paying revenue) with signals on MRR, traffic, 30-day and 90-day growth, and profit margin. Because it is observed rather than self-reported, it captures the long tail of indie and micro-SaaS products that traditional benchmark reports — which start measuring at $1M+ ARR — systematically exclude.

All revenue is reported in US dollars per month. Distributions are summarized with percentiles (p25, median, p75, p90) rather than averages alone, because SaaS revenue is heavily right-skewed and a single mean would be misleading. Category figures are computed only for categories with a meaningful sample of tracked startups.

TrustMRR sits alongside BigIdeasDB's demand-side dataset of 1M+ real user complaints mined from Reddit, G2, Capterra, and app stores — so you can validate that a problem is real and painful before you check whether anyone is making money solving it. Browse the full suite of validated problems and revenue data on the BigIdeasDB homepage, or start mining the data directly inside our micro-SaaS ideas for 2026.

Frequently Asked Questions

What is a good MRR for a SaaS startup in 2026?

It depends entirely on stage. Across TrustMRR's dataset of 5,000+ real startups, the median monthly recurring revenue for products that have any paying customers is around $136/month, the 75th percentile sits near $880/month, and the 90th percentile is roughly $5,163/month. Only about 1 in 17 revenue-generating startups clears $10,000 MRR, and only around 21 in the entire dataset exceed $100,000 MRR. So a "good" MRR for an early-stage indie SaaS is anything above a few hundred dollars per month — once you pass $1,000 MRR you are already ahead of roughly two-thirds of the revenue-generating startups we track.

What is the median MRR for SaaS startups?

Among the 3,478 startups in the TrustMRR dataset that report any revenue, the median MRR is approximately $136 per month. The distribution is heavily right-skewed: the average (mean) MRR is about $4,424/month, far above the median, because a small number of large outliers — the largest exceeds $3.5M MRR — pull the average up. This is why percentiles (p25, median, p75, p90) describe SaaS revenue reality far better than averages do.

What profit margins do SaaS startups actually achieve?

TrustMRR data shows software profit margins are genuinely high once a product is running, typically landing in the 55–85% range by category. For example, Games-category products average roughly 84.7% margins, Community products around 79.9%, mobile-first micro-SaaS around 79.5%, and most B2B categories (Sales, Marketing, Health & Fitness) cluster around 68%. Security and Social Media sit lower, near 55–56%. These are gross-style software margins — the asset-light economics that make SaaS attractive even at small revenue.

How fast do SaaS startups grow on average?

Growth is extremely uneven. A handful of categories show enormous average 30-day growth driven by early-stage products coming off a near-zero base (Real Estate and Marketplace categories show triple- and quadruple-digit average percentages), while established categories like Sales and Mobile Apps grow only 1–2% on average. The honest takeaway from the data: most SaaS startups grow slowly or not at all, and the eye-catching growth multiples belong to a small set of products in their first few months of revenue.

Where does TrustMRR's SaaS benchmark data come from?

TrustMRR is BigIdeasDB's first-party revenue intelligence dataset covering 5,000+ real, named startups with observed revenue, traffic, growth, and profit-margin signals — not survey responses or self-reported claims. Because it is observed first-party data rather than an aggregator survey, it captures the long tail of indie and micro-SaaS products that traditional B2B benchmark reports (which skew toward venture-backed companies above $1M ARR) systematically miss. It is paired with BigIdeasDB's library of 1M+ real user complaints used to validate demand before you build.