The Average SaaS Multiple in 2026: What 88 Real Indie Exits Reveal

The 2.85× median profit multiple for indie SaaS acquisitions didn't emerge from theory or venture capital benchmarks. It came from analyzing 88 real sub-$1M exits with disclosed sale prices in the FounderSold database — businesses that actually sold, at prices founders and buyers agreed on, with data we could verify.

Understanding what that 2.85× actually means, and why it varies wildly 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 — roughly 2.5× annual revenue for SaaS on median — 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 88 deals in the FounderSold dataset with disclosed pricing, the median profit multiple is 2.85×. But that median obscures significant variation. Here's the real distribution:

• Bottom 25% of deals: 1.2× to 1.8× profit
• Middle 50% of deals: 1.8× to 4.0× profit
• Top 25% of deals: 4.0× to 7.5× profit

The widest multiples — 5×, 6×, 7× — almost always come from businesses with exceptional retention, proprietary distribution channels, or demonstrated growth. The lowest multiples typically have high churn, platform dependency, or obvious owner involvement.

How Multiples Vary by Category

The 2.85× median holds across diverse business types, but the distribution by category reveals what specific markets reward:

SaaS (core): 2.85× median across 50+ exits. This is the core of the dataset and anchors the overall median. Within SaaS, B2B tools trend toward 2.9× while B2C SaaS is closer to 2.7×.

Developer Tools: 2.65× median. Slightly below SaaS overall, reflecting higher competition and the challenge of pricing developer products in a market that often expects open-source.

AI/ML Tools: 3.3× median (small sample of 8–12 deals). The newest category in the dataset commands a premium, likely because the perception of AI defensibility remains high. This may normalize as the category matures.

E-commerce: 2.8× median. Consistent with SaaS, though individual deals vary more based on supplier risk and inventory turnover.

Newsletter / Content: 2.2× median. Lowest in the dataset, reflecting the challenge that content businesses depend heavily on the creator and are difficult to transfer. Premium for newsletters with strong subscriber data and advertiser contracts.

What Pushes Multiples Up

The exits in our dataset that cleared 4×+ shared specific patterns:

1. Net Revenue Retention above 100%. The single strongest multiple driver. Businesses where existing customers expand spending without new acquisition efforts command 1.5–2× 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

The same dataset shows consistent discount patterns:

• 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

One practical question: is 2.85× stable? From 2021 to 2024, the median stayed within 2.4–3.2×, despite broader market volatility. Some observations:

• 2021–2022 saw frothy valuations and premiums; 2023–2024 compressed toward 2.5–3.0×
• The indie acquisition market is somewhat insulated from public market swings (buyers are individuals and small funds, not institutional investors)
• Rising interest rates in 2022–2023 put modest pressure on multiples; the current environment appears to have stabilized

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 2.85. That's your market-clearing 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.