By Phillip Mitchell, Founder & Chief Brokerage Officer, AIExchange.club
Figures are as of October 2026, from the sources linked below and our own multiples guide. Examples are illustrations, not real deals. This is general information, not legal, tax or financial advice.
If you search for how AI companies are valued, you'll find revenue multiples of 10x, 25x, even 50x. Those numbers are real, but they come from venture rounds and large deals. A small AI business that makes money for its owner, say $10K a month in revenue, sells on profit, usually at about 2x to 5x SDE. In our worked example below that comes to about 1.95 times annual revenue, not 25.
This guide is for the owner of a small AI business who wants to know what it's worth. It shows the gap between the headline numbers and what a buyer pays, explains why the gap exists, and shows what moves your number up or down.
What a small AI business sells for
Small software businesses are priced on SDE, which is profit with the owner's pay added back (see SDE vs EBITDA). The multiple depends on size. These are the ranges from our SaaS valuation guide:
| Annual revenue | Usual basis | Typical multiple | Who buys |
|---|---|---|---|
| Under $120K ARR | SDE | 2.0x to 3.2x | Individual operators, first-time buyers |
| $120K to $600K ARR | SDE | 2.5x to 4.0x | Indie acquirers, small holding companies |
| $600K to $1M ARR | SDE | 3.0x to 5.0x | Holding companies, search funds, micro-PE |
| $1M to $5M ARR | ARR or EBITDA | 2.0x to 4.0x ARR | PE, strategic buyers, funded holding companies |
| $5M to $10M ARR | ARR | 3.5x to 5.5x ARR | PE, strategic buyers |
Under $1M in revenue, that's the market. The numbers on most "AI company valuation" pages describe a different one.
Why the headline numbers are so high
Three things separate the 10x to 50x figures from a small AI business.
- They price a venture round, not a sale. An investor buying a stake in a fast-growing company pays for the growth they expect, often years out. A buyer of a small business pays for the profit they can take home next year. Venture-stage AI revenue multiples run roughly 10x to 50x revenue, and a buyer who needs the business to pay for itself can't pay that.
- The data covers larger and luckier companies. A Q1 2026 report tracking 575 venture rounds found AI-native companies at 21.2x revenue. The same report's 620-plus AI M&A deals came in at 11.5x, against 3.8x for legacy SaaS. Those deals include many companies far larger than $120K a year. Another 2026 dataset of AI acquisitions shows a median of 13.1x but an average of 24.5x, because a few very large outcomes pull the average up.
- Size changes who is buying. At $120K ARR the buyer is usually one person, often borrowing, who has to live on the profit. At $50M the buyer is a strategic company paying for market position.
Large-deal data tells you how the biggest AI outcomes are priced. It doesn't tell you what your $10K MRR business will fetch.
One $10K MRR AI SaaS, priced three ways
Here's an illustration. An AI SaaS has $10,000 in monthly revenue ($120,000 a year). After hosting and model costs, payment fees, a support contractor, tools and ads, and adding back the owner's $30,000 pay, its SDE is $73,080. (The full inputs are in the valuation guide.)
| Method | Multiple | Price | Fits this business? |
|---|---|---|---|
| Venture-round revenue multiple | 21.2x ARR | $2,544,000 | No. This prices growth capital. |
| Large-deal M&A revenue multiple | 11.5x ARR | $1,380,000 | No. Those deals are much larger. |
| Profit-based sale (SDE) | 3.2x SDE | $233,856 | Yes. About 1.95x ARR; realistic range $206,000 to $262,000. |
The venture multiple gives about 11 times the profit-based price, and even the M&A figure gives about 6 times. An owner who lists at $1.4M after reading a funding article will likely get few serious offers, because the first buyer who runs the SDE sum will see the gap.
How AI businesses are valued
The method is the same as for any small software business: work out SDE, pick a multiple that fits the size and quality, and check it against what similar businesses sold for. Our SaaS valuation guide walks through it step by step, and the free valuation tool does the sums.
The AI-specific part is the cost side. Every model call is a cost that grows with usage, so it belongs in cost of goods sold, not in overhead. a16z's analysis puts AI companies' gross margins at 50% to 60%, against 60% to 80% or more for traditional software, with 25% or more of revenue going to cloud costs (a16z, published 2020, updated April 2024). That's the first thing a buyer checks, because a business with a thin margin leaves less SDE to price.
AI multiples by category
Within AI, the category matters. These are ARR multiple bands from our multiples guide, which has all 21 categories:
| Category | ARR multiple |
|---|---|
| Healthcare | 5.0x to 10.0x |
| Finance & trading | 3.0x to 7.0x |
| Customer support | 3.0x to 6.0x |
| Automation | 3.0x to 6.0x |
| Developer tools | 2.0x to 4.5x |
| Marketing tools | 2.0x to 4.5x |
| Content creation | 1.5x to 3.5x |
| Writing assistants | 1.0x to 3.0x |
Read these as a range for a decent business in that category, not a promise. Where yours falls inside the band depends on margin, retention and how replaceable the product is.
What pulls the number down
- Thin gross margin. Below about 70% is a discount in software generally, and many AI products start at 50% to 60%. Heavy users who cost more than they pay are the usual reason.
- Weak retention. ChartMogul's data puts median gross revenue retention for AI-native companies at 40% (ChartMogul, December 2025). AI products under $50 a month do worse. Our net revenue retention guide shows how to work out yours; a business well above those figures stands out.
- The wrapper problem. A thin layer over someone else's model can be copied, or made redundant when the model provider ships the same feature. Buyers discount for that.
- One model provider, no fallback. If the business breaks when one vendor changes its pricing or terms, the buyer prices that risk.
- The owner does everything. If the business can't run without you, the buyer is also paying for a job.
What pushes it up
- Proprietary data that makes the product better the longer customers use it.
- Workflow embedding. The product sits where the work happens and is costly to rip out.
- A model-agnostic build, so you can swap providers when prices move.
- Owned distribution, such as search traffic or an email list, instead of renting attention.
- Retention that holds up in cohorts, not just in a headline percentage.
These are the same things buyers verify in diligence. Our due diligence checklist shows how they check each one, and what buyers look for in AI businesses covers the rest. If a buyer is worried about retention, part of the price may be tied to it in an earnout.
Valuation methods you'll see, and which fit
You'll meet several methods in AI valuation articles. Most are built for companies that raise money.
| Method | What it's for | Fits a $10K MRR business? |
|---|---|---|
| Discounted cash flow | Mature companies with predictable cash flow | Rarely. Forecasts this small are guesses. |
| Berkus and scorecard | Pre-revenue startups raising a first round | No. They value an idea, not cash flow. |
| Revenue (ARR) multiple | Growth-stage companies | Only a cross-check, and mostly from about $1M ARR. |
| SDE multiple | Owner-operated businesses under about $1M | Yes. This is what buyers use. |
| Comparable sales | Checking any of the above against real deals | Yes, though small-deal data is thin. |
Estimate your AI business's value
Put in your own revenue, costs and growth and see a range:
What's your SaaS worth?
= $120,000 ARR
45% of revenue is typical
Show the math
An estimate, not an appraisal. It can't see your code, your contracts, or your competitive position. Treat it as a starting range.
Get a full valuation →How to raise your number before you sell
Most of what moves the price can be fixed in a few months:
- Pull 12 months of processor exports and rebuild revenue and profit from them, so every number is documented.
- Work out cost per customer, including the heaviest 10% of users, and change pricing or limits where heavy use loses money.
- Get signed IP assignments from every contractor who wrote code.
- Make the product able to switch model providers without a rewrite.
- Build a cohort chart that shows retention by sign-up month.
- Write down how the business runs week to week, so a buyer can see what it takes.
Our guide to how to sell a SaaS business covers the rest, including fees, timing and what a deal looks like start to finish.
AI company valuation FAQs
How are AI companies valued?
It depends on size and stage. Venture-backed companies are valued on revenue multiples set by investors, often 10x or more. Small, profitable AI businesses are valued on SDE, usually 2x to 5x, and then adjusted for margin, retention and risk. Which method applies is mostly a matter of who is buying.
How much is an AI startup worth?
A venture-backed startup raising money can be valued at a high revenue multiple. A bootstrapped AI business with $10K in monthly revenue and about $73K of SDE is worth roughly $206K to $262K in our worked example. The two are different markets, so be clear which one you're in.
What multiple do AI SaaS businesses sell for?
Under $1M in revenue, typically 2x to 5x SDE depending on size, with a category range of about 1x to 10x ARR in our multiples guide. Larger deals priced on revenue run higher, but those datasets are weighted toward bigger companies.
Why are AI company valuations so high?
Mostly because the headline figures come from venture rounds and very large companies. Investors pay for expected growth. A buyer of a small business pays for current profit, which is a lot lower.
Is an AI wrapper business worth anything?
Yes, if it makes money and holds its customers. But buyers discount it for how easy it is to copy, so retention, margin and owned distribution matter more for a wrapper than for a business with its own data or workflow lock-in.
Can you value an AI company with no revenue?
You can, using methods built for startups, such as Berkus or a scorecard, but the answer is a negotiating position for raising money, not a sale price. AIExchange.club lists businesses that are already making money, so this guide covers those.
Next step
If you're buying, browse the AI businesses on our marketplace to see how listings with real numbers look, and use our buyer's guide to check the price.
If you're selling, listing on AIExchange.club is free, and the flat 10% success fee is only paid when your deal closes. The deal room, escrow and in-platform contracts are included (see fees and pricing). We list businesses that are already making money.
List your AI-powered business →
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