The Average SaaS Multiple in 2026: What Real Indie Exits Reveal

The median profit multiple in the FounderSold database (2.5× across 105 sales, 2.8× for SaaS alone) didn't emerge from theory or venture capital benchmarks. It comes from real sub-$1M exits: businesses that actually sold, at prices founders and buyers agreed on, with data we could verify. The figures on this page are recalculated from the database every time it loads (data as of November 14, 2026).

Understanding what that median actually means, and why it varies so much by category and business type, is the single most useful number for a founder pricing a sale.

What Is a Profit Multiple?

Before we talk about numbers, let's be precise about what we're measuring. A profit multiple is straightforward: the sale price divided by annual profit (Seller's Discretionary Earnings, or SDE). If a SaaS makes $2,000 per month in profit ($24,000 annualized) and sells for $68,000, the multiple is 2.8×.

This matters because it's how most indie acquisitions are actually priced. Revenue multiples exist in the data too (median 2.3× annual revenue across 277 sales) but profit multiples are what buyers negotiate toward at the negotiating table, especially in the $100K-$500K deal range.

The Median and the Range

Across the 105 sales in the FounderSold dataset with a disclosed profit multiple, the median is 2.5×. SaaS alone (21 sales) has a median of 2.8×. But a median hides a lot of spread. Here's the real distribution:

• Bottom 25% of sales: 0.2× to 1.7× profit
• Middle 50% of sales: 1.7× to 3.0× profit
• Top 25% of sales: 3.0× to 40.0× profit

The two extremes are single sales and say little on their own; the middle half is the useful range.

How Multiples Vary by Category

Median profit multiple by category, only where there are at least 5 sales with a disclosed multiple:

• Content/Media: median 2.25× (40 sales)
• SaaS: median 2.8× (21 sales)
• E-commerce: median 1.5× (17 sales)
• Developer Tools: median 2.7× (9 sales)
• AI/ML: median 2.45× (6 sales)

Categories with fewer sales are left out: a median over three or four sales is not reliable. A high or low figure in a small group is a hint, not a rule.

What Pushes Multiples Up

What buyers commonly pay more for (general market practice, not measured in our dataset):

1. Net Revenue Retention above 100%. The single strongest multiple driver. Businesses where existing customers expand spending without new acquisition efforts command clear premiums. A $5K MRR SaaS with 110% NRR is worth more than a $10K MRR SaaS with 80% NRR.

2. Demonstrable, repeatable acquisition channels. Exits driven by SEO rank higher than those dependent on paid ads. Ones built on word-of-mouth and product-led growth rank highest. Single-channel dependency (a viral spike, one partnership) yields a discount.

3. Low owner involvement. Businesses running on fewer than 5 founder-hours per week command premiums. Those requiring 20+ hours are priced as jobs, not assets.

4. Growing MRR trend. Even modest growth in the last three months signals positive direction to a buyer. Flat or declining MRR depresses multiples.

5. Clean, documented operations. Exits with documented processes, minimal technical debt, and clear asset ownership clear higher multiples. The cost of buyer due diligence drops, and perceived risk drops with it.

What Pushes Multiples Down

And the usual reasons for a discount:

• Churn above 4% monthly: Deteriorating revenue base signals trouble ahead
• Customer concentration above 30%: If one account is a third of revenue, buyers model its loss
• Founder-dependent operations: More than 20 hours per week of active founder involvement
• Platform dependency: Built entirely on someone else's API or app store
• Declining MRR: Even a single quarter of decline triggers buyer concern
• Undisclosed liabilities or surprise findings in due diligence: These kill deals or crater multiples

The Stability Question

Does the multiple move over time? Median profit multiple by year of sale, for years with at least 5 sales with a disclosed multiple:

• 2020: median 2.7× (8 sales)
• 2021: median 2.0× (5 sales)
• 2022: median 3.0× (6 sales)
• 2023: median 2.8× (16 sales)
• 2024: median 2.7× (16 sales)
• 2026: median 1.8× (34 sales)

Samples are small, so year-to-year swings can be noise. The [stats page](/stats) has the full chart.

The Practical Takeaway

If you're pricing a sale, start here: calculate your annual SDE conservatively, add any legitimate one-time costs a new owner won't face, and multiply by a multiple inside the range the data shows (1.7× to 3.0× covers the middle half of sales). That gives you a reference range, not a guaranteed price. Then adjust up or down based on the factors above. Every point on the NRR scale, every hour of owner time you can eliminate, every quarter of growth you can document, these move you up the distribution.

The exits that beat the median weren't the highest revenue. They were the ones with the lowest perceived risk and highest operational maturity.

Test your valuation with the [free calculator](/valuation), and browse real exits with their multiples on the [stats page](/stats) to find comparable deals in your category.