SaaS Valuation Multiples 2026: What Companies Sell For, by ARR Band.

By Lane Gordon, 733Park. Updated September 15, 2026.

733Park's rule of thumb: in 2026 a private SaaS company sells for roughly 2x to 3.5x ARR under $2M of ARR, 3x to 5x from $2M to $10M, 3.5x to 6x from $10M to $30M, and 4x to 7x above $30M with the top quartile at 8x or more; the median across all private SaaS deals is 3x to 4x revenue, and where you land inside your band is set by net revenue retention, growth, gross margin, concentration and which side of the AI line your product sits on.

Founders ask what multiple SaaS companies sell for and get a number from a public-company chart, or a number from 2021. Both are wrong for a private company in 2026. Public SaaS trades on liquidity, scale and index flows, and it has been repriced hard by AI. A $6M ARR vertical SaaS company in a private process trades on what one strategic or one sponsor believes it can do with the customer base. The ranges below are private, lower-middle-market, and sourced.

What the data says

Three primary sources, three slightly different answers, one picture. Aventis Advisors, whose 543-deal set skews to smaller transactions, puts the median private SaaS deal at 3.8x revenue in 2025 and 3.1x in the first quarter of 2026, down from a 6.4x peak in 2021 and a 2.9x low in 2024. Software Equity Group, which sees larger deals, reports a 4.0x median and 6.2x average EV to trailing revenue for the second quarter of 2026 and calls the 4x to 6x band stable for the past year. FE International's 2026 benchmarks by ARR band run from 2x to 3x for sub-$1M companies to 5x to 7x above $20M, with the top quartile reaching 8x and beyond. Deal size matters more than most founders expect: Aventis' medians are flat at about 3.0x to 3.3x from $0 to $50M of deal value and jump to 6.1x between $50M and $100M.

The table

ARR band	Typical range, private, 2026	What puts you at the top of the band
Under $2M ARR	2x to 3.5x ARR, often priced on seller discretionary earnings instead	100%+ net revenue retention, a niche the buyer already sells into, founder not the only seller
$2M to $10M ARR	3x to 5x ARR (median near 3.2x)	30%+ growth, gross margin above 75% net of hosting and inference, no customer above 10%
$10M to $30M ARR	3.5x to 6x ARR	Rule of 40 or better, a second management layer, payments or data attach
$30M+ ARR	4x to 7x ARR, top quartile 8x+	Category position, several credible bidders, audited financials
AI overlay, any band	AI-exposed: bottom of band or below. AI-resilient: holds. AI-native: 40% to 80% premium, top quartile 10x+	Revenue that does not shrink when seats do, proprietary data, deep workflow position, regulated-vertical moats

Two things about the table. First, the bands overlap on purpose: a $3M ARR company at 120% net revenue retention will beat a $12M ARR company that is losing customers. Second, the top of every band is reached the same way, by having several qualified buyers at the table at once. A single-buyer conversation prices at the bottom of the band no matter how good the business is.

The AI line

The public market has already voted. The SaaS Capital Index fell from about 7.0x ARR in early 2025 to 3.8x by March 2026, horizontal public SaaS trades near 2.2x forward revenue this month, and roughly $285 billion of SaaS market value disappeared in two days after an agentic-AI demonstration in the spring. The reasons are the ones every buyer now asks about: AI agents replacing the human seats a per-seat model bills for, and AI coding tools making simple software cheap to rebuild. Private deals lag public repricing by six to twelve months, so the pressure is still arriving in private processes.

The discount is not uniform. Buyers now sort software into three buckets before they talk about a multiple. AI-exposed: basic CRM, lightweight analytics, generic content and workflow tools, anything priced per seat that an agent could do. These trade at the bottom of their band or below it. AI-resilient: regulated verticals, security and compliance, products with certified integrations, proprietary data and deep workflow ownership. These are holding, and the buyers are concentrated. AI-native: companies where the model is the product and the data compounds. These earn a 40 to 80 percent premium over comparable traditional SaaS. The fastest lever for an exposed company is proving usage-based or outcome-based revenue that does not shrink when seats do.

The five drivers inside a band

Net revenue retention. The number buyers underwrite first. Above 100% means the base grows without new sales; below 90% means the buyer is paying for a leaking bucket. Above 120% is a component of every 7x-plus private deal we have seen this year.

Growth, efficiently. Year-over-year ARR growth, but buyers now discount growth bought with unprofitable marketing. Public SaaS that clears the Rule of 40 trades near 6.6x revenue against 2.3x for companies that do not; private buyers apply the same split.

Gross margin, net of hosting and inference. A 90% margin that is 65% after model and cloud costs gets repriced in diligence. Know the number line by line.

Concentration. One customer above 10% of ARR is a discount. Three above 10% is a structure problem, usually solved with an earnout you will not like.

Founder dependence. If the business cannot run for 30 days without you, expect a longer earnout and a lower cash-at-close number.

Where payments attach fits

Vertical SaaS with embedded payments gets a lift buyers in our sectors pay for explicitly: the payments revenue is recurring, high margin, and grows with the customer's volume rather than your sales team, and it does not depend on seats. A 40%-plus attach rate on the customer base can add a full turn to the multiple. The detail is in our guide to embedded payments M&A.

How to use this

Locate your band. Decide honestly which AI bucket a buyer will put you in. Score yourself on the five drivers. If you are at the bottom of your band on two or more, the highest-value work you can do is 12 to 24 months of fixing them before a process, not a process now; the M&A readiness checklist is the order to work them in. If you are at the top of your band, the multiple is set by process design: which buyers, in what order, with what information, on what timeline. That is the work we do, and how to sell a SaaS company for maximum value walks through it.

About 733Park

733Park is a boutique M&A advisory firm for payments, fintech, AI and SaaS companies, with 25 years of payments M&A expertise, 200+ closed transactions and $10B+ in transaction volume. Clients have enterprise values of $5M to $350M and work directly with Lane Gordon and the principals, not junior associates. 733Park provides sell-side advisory, buy-side advisory and consulting on growth strategy and exit readiness, with roots in merchant portfolios and ISOs.

Frequently asked questions

What multiple do SaaS companies sell for in 2026?

In private lower-middle-market M&A, the median is roughly 3x to 4x revenue. By ARR band: under $2M of ARR about 2x to 3.5x, $2M to $10M about 3x to 5x, $10M to $30M about 3.5x to 6x, $30M and above about 4x to 7x with the top quartile at 8x or more. Net revenue retention, growth, margin, concentration and AI exposure decide where a company lands inside its band.

Have AI tools lowered SaaS valuation multiples?

Yes, for part of the market. Public SaaS fell from about 7x ARR in early 2025 to under 4x by March 2026. The discount is category-specific: AI-exposed products sit at the bottom of their band or below it, AI-resilient products are holding, and AI-native companies earn a 40 to 80 percent premium. Private deals lag public markets by six to twelve months.

Why are private SaaS multiples lower than public ones?

Public multiples price liquidity and scale. A private buyer prices what it can do with your customers and how much risk it is taking on, and discounts for concentration, founder dependence and contract terms a public investor never sees.

How do I move my SaaS company up a valuation band?

Fix net revenue retention first, then concentration and gross margin net of hosting and inference, then prove revenue that does not shrink when seats do. Then run a competitive process.

Sources

Aventis Advisors, SaaS Valuation Multiples 2015 to 2026 (updated August 2026). Software Equity Group, 2Q26 SaaS M&A Update. FE International, SaaS Valuation Multiples 2026 (August 2026). SaaS Capital Index via L40 (April 2026). Multiples.vc public software multiples (September 2026). SaaS Rise, The SaaS M&A Report 2026. Ranges in the table are 733Park's synthesis of these sources for private, lower-middle-market processes; they are education, not a quote.