SaaS Valuation Calculator

How to Use the SaaS Valuation Calculator: A Founder’s Guide to Lower Middle Market Pricing

If you run a SaaS business doing somewhere between $500K and $50M in revenue and you’re starting to wonder what it might be worth, this guide is for you. The calculator at the top of this page is the same model I use when prospective clients ask me to ballpark their business before we have a real conversation. It’s grounded in actual closed-deal data from our proprietary comp database, and it’s built around how the lower middle market actually transacts in 2025, not how SaaS deals priced in 2021.

This post walks through what each input does, why it matters, where the math comes from, and how to read the output. By the end you should know whether your business is in selling shape and roughly where the indicated range will land.

Why a calculator like this even exists

Most SaaS founders Google “SaaS valuation multiple” and get one of two answers: either a public market headline number (8x ARR, 12x EBITDA) that doesn’t apply to a private $5M ARR business, or a marketing post from a broker that gives you a range so wide it’s useless (“2x to 15x revenue”).

The reality is that lower middle market private SaaS trades in a narrower, more disciplined band than public SaaS. As of late 2025, public SaaS multiples have stabilized around 6 to 7x EV/Revenue, with the Bessemer Cloud Index at roughly 7.5x revenue. Private SaaS, especially in the $5M to $50M enterprise value range that most exits target, sits at 4 to 5x revenue with EBITDA multiples in the 10 to 13x range for healthy mid-tier businesses. The premium tier, vertical SaaS with strong retention and Rule of 40 performance, can reach 7 to 9x revenue.

Aventis Advisors, working from a dataset of more than 1,000 software M&A transactions, pegs the 2024 private SaaS median at 4.1x revenue and 19.2x EBITDA. Public SaaS in the same period traded at roughly 5.6x revenue and 38.2x EBITDA, the public-private spread reflecting both liquidity and growth differentials.

This calculator is calibrated against our internal transaction comp set of closed LMM SaaS deals, drawn from multiple private brokerage sources under non-disclosure, supplemented with the public benchmark research above. The tier baselines, percentile bands, and adjustment factors all come from that data. The point of the calculator is to give you a defensible, current-market indication. Not a marketing range. Not a hopeful number.

The four big things the calculator is asking about

Before diving into specific inputs, it helps to understand what the model is actually measuring. There are four categories of input, and they map onto how a real M&A buyer underwrites a SaaS business:

Scale. Bigger businesses earn higher multiples because the buyer pool widens. A business doing $1M in EBITDA is bought primarily by individual operators and small holding companies. A business doing $5M in EBITDA attracts lower middle market PE. A business doing $15M in EBITDA gets institutional PE attention. Each step up the buyer pool expands the multiple range.

Quality of revenue. This is where SaaS pulls away from other business types. A SaaS business with 110% net revenue retention and 95% recurring revenue is meaningfully more valuable than one at 95% NRR and 80% recurring, even at the same EBITDA. The calculator captures this through several specific drivers.

Risk profile. Customer concentration, founder dependency, and books quality all create discount pressure. None of them are about the business model. They’re about how transferable the business is to a new owner.

Deal structure. Headline price isn’t the same as cash to seller. Above $2M EBITDA, deals enter PE territory where cash at close is a negotiable lever and the residual gets split among seller note, earnout, and equity rollover. The calculator models this explicitly because it’s the part most sellers underestimate.

Walking through each input

Revenue (LTM)

Last twelve months of total revenue, not annualized projections, not next year’s plan. Buyers underwrite to actual trailing performance because that’s what’s verifiable in due diligence.

For SaaS, this should be your gross revenue including any non-recurring elements like services and one-time setup fees, but you’ll separately tell the calculator what percentage is actually recurring (more on that below).

Why it matters: Anchors the size tier. The calculator uses revenue and EBITDA together to determine which baseline percentile to apply. The transition points matter, particularly the $2M EBITDA threshold where deal structure flips from SBA-friendly to PE-friendly.

Annual Recurring Revenue (ARR)

The annualized run-rate of your contracted recurring revenue. If you’re at $300K MRR, your ARR is $3.6M. This is the metric most SaaS buyers actually use to judge scale, more than total revenue.

For pure subscription SaaS this is straightforward. If you have services revenue, professional implementation fees, or one-time charges mixed in, those don’t count toward ARR.

Why it matters: The ARR-to-revenue ratio tells the buyer how subscription-clean your business is. A business with $3M revenue and $3.5M ARR has a higher ratio than one with $3M revenue and $2M ARR (where the rest is services). Higher ratio means more recurring quality means premium multiple.

EBITDA (LTM)

Earnings before interest, taxes, depreciation, and amortization, on a trailing twelve month basis. This should already include reasonable owner comp. If you’re an owner-operator paying yourself $50K but a market-rate replacement would cost $200K, your EBITDA needs to reflect the $200K replacement cost, not the actual owner comp.

This addback discipline is what causes most home-grown valuations to be too high. Founders calculate “EBITDA” by adding back their entire salary and discretionary expenses, but professional buyers normalize to market wages because that’s what they’ll actually have to pay after closing.

Why it matters: EBITDA drives the multiple application. For sub-$10M revenue SaaS, SDE-style adjustments are common, but the calculator normalizes to EBITDA because the comp set is EBITDA-based. The calculator’s tier baselines are: under $1M EBITDA at 3.2–4.0x, $1M–$2M at 3.5–4.9x, $2M–$5M at 5.0–6.7x, $5M–$10M at 5.0–6.6x, and $10M+ approaching 8x. These ranges align with Aventis’s private SaaS median of 19.2x when you account for the fact that lower-middle-market deals trade at meaningfully tighter multiples than the institutional median.

Growth (YoY revenue change)

Year-over-year revenue growth, comparing trailing twelve months to the prior twelve months. This is the single biggest premium driver in SaaS valuation.

The calculator’s growth bands:

• 50%+: +1.5x premium (rare, but real)
• 25–50%: +0.75x premium
• 10–25%: baseline (this is where most healthy lower MM SaaS lives)
• 0–10%: -0.5x discount
• Negative: warning state

The 50% growth tier earning a +1.5x premium reflects market reality. Public SaaS companies growing 30%+ at scale command top-quartile multiples of 13–14x revenue, more than 4x the bottom quartile. Private market premium for high growth is more compressed but still meaningful.

Why it matters: Growth is the strongest valuation differentiator after retention. The Rule of 40, which combines growth rate and EBITDA margin, has become the dominant lens private equity uses to evaluate SaaS. A business doing 30% growth at 10% margins is “Rule of 40.” A business doing 5% growth at 35% margins is also Rule of 40. Both qualify for premium multiples versus a business doing 10% growth at 10% margins.

Net Revenue Retention (NRR)

The percentage of revenue retained from your existing customer base over twelve months, including upgrades, downgrades, and cancellations. New customer acquisition does not count.

NRR over 100% means existing customers are growing on net. This is the holy grail of SaaS metrics because it means the business compounds without needing new logos. Below 100% means existing customers shrinking, which is a major drag on enterprise value.

The calculator’s NRR bands:

• 110%+: +0.7x premium
• 100–110%: +0.35x premium
• 90–100%: baseline
• 80–90%: -0.5x discount
• Below 80%: -1.0x discount

Why it matters: NRR signals product-market fit, expansion economics, and customer success. A 105% NRR with 10% gross logo churn is a different beast than a 105% NRR with 4% gross logo churn, but both will command similar multiples because what buyers care about is the net dollar movement.

Annual Customer Churn

The percentage of customers (counted by logos, not dollars) who cancel each year. Different from NRR because it tracks the count, not the dollar movement.

The calculator’s bands:

• Under 5%: +0.25x premium
• 5–15%: baseline (this is where most SMB SaaS lives)
• 15–25%: -0.25x discount
• 25%+: -0.5x discount

Industry research puts healthy SaaS churn under 10%. SMB-targeted SaaS often runs 12–18% annually, which is the calculator’s “baseline” zone. Mid-market SaaS often runs 8–12%. Enterprise runs 4–8%. The calculator’s bands are calibrated for the lower middle market default, which is mostly SMB-shaped.

Why it matters: High churn forces the business to constantly replace cancellations, which compresses margins and increases acquisition cost dependency. Even with strong NRR, high logo churn signals a leaky bucket.

Recurring Revenue Percentage

What share of total revenue comes from contracted recurring sources, as opposed to services, one-time fees, professional implementation, or other non-recurring sources.

Pure SaaS is 95%+ recurring. SaaS plus light services is 85–95%. SaaS-plus-meaningful-services is 60–85%. Below 60%, you’re a software-and-services hybrid, and the calculator routes you to a consultation page because the metrics don’t apply cleanly.

Why it matters: Recurring revenue gets a premium because it’s predictable. Services revenue is harder to underwrite because it requires continuous delivery and sales effort. Buyers discount services revenue, sometimes heavily.

Customer Concentration

What percentage of revenue comes from your single largest customer.

The calculator’s bands:

• Under 5% (low): baseline
• 5–15% (moderate): -0.25x
• 15–30% (high): -0.5x
• 30%+ (severe): -1.0x

Industry guidance suggests no single client should exceed 5% of revenue for premium valuation, with anything above 30% creating significant deal structure complexity. Heavy concentration often forces extended earnout periods because buyers want the seller exposed to the loss-of-key-customer scenario for a couple of years post-close.

Why it matters: Concentration is the most common reason buyers discount SaaS deals. A 30% customer represents existential risk to the buyer. They’ll either discount the multiple, structure heavy earnout exposure, or walk away entirely.

Founder Dependency

How much the business relies on the founder for daily operations, key relationships, or specialized knowledge.

The calculator uses three buckets:

• Low: Founder works under 10 hours per week, real management team in place
• Medium: Founder works 20–40 hours per week, key relationships still involve founder
• High: Founder is the business

Why it matters: Buyers pay premium multiples for businesses that run without the founder. High dependency creates transition risk and forces longer earnouts, owner-financed seller notes, or extended consulting arrangements.

Books Quality

How clean and verifiable your financials are. The calculator uses three tiers:

• Poor: Cash-basis spreadsheets, mixed personal and business expenses, no monthly closes
• Average: Reasonable bookkeeping, accrual-basis or close to it, some addback documentation
• Clean: Reviewed financials with monthly closes, clear addback schedule, audit-ready

Why it matters: Buyers can’t pay for what they can’t verify. Poor books force quality-of-earnings adjustments downward. Investing $25K–$75K in a pre-listing quality of earnings review almost always pays for itself in negotiating leverage and reduced discount.

How the deal structure section works

For deals above $2M EBITDA, the calculator switches into PE mode and exposes the deal structure controls. This is the part most sellers haven’t thought about and where the headline-versus-actual-cash gap usually lives.

Cash at Close (multiple of EBITDA)

PE buyers anchor cash at close to a multiple of trailing EBITDA, not to a percentage of headline price. Standard market is 2.0x. Strong deals reach 2.5x. Top tier hits 3.0x. Above 3.0x is essentially unfunded territory because senior debt capacity caps out.

Why it matters: A $10M headline deal at 2.0x cash multiple on $1.5M EBITDA means $3M cash at close. The other $7M is structured. If you don’t understand the difference between headline and cash, you can’t negotiate effectively.

Structured Portion Allocation

Whatever isn’t cash at close gets allocated among three components:

Seller Note. A loan from the seller to the buyer, repaid over 3–5 years at prime plus 2–3%. Carries low risk for the seller because notes are first-priority creditors. The calculator assumes ~95% expected recovery.

Performance Earnout. Additional payment contingent on the business hitting specific revenue or EBITDA targets in the year or two post-close. Risk is real. Industry data on earnout achievement shows median recovery of 60–75% of contracted earnout value. The calculator defaults to 65% expected achievement.

Equity Rollover. Seller keeps a minority stake in the post-close business and exits at the next liquidity event (3–5 years out). Carries illiquidity risk and dilution risk. The calculator assumes ~85% expected recovery.

Reading the output

The calculator gives you three numbers across the top: Conservative, Base Case, Stretch. These are P25, P50, and P75 percentiles from the comp set, adjusted for your specific quality drivers and your deal structure.

The Base Case is your real expected price if the calculator’s assumptions hold. Conservative is what happens if the buyer pool is thin or you have something hidden that creates discount risk. Stretch is what happens with a strategic premium or a competitive bid process.

Below that, the Deal Structure breakdown shows what each component looks like at the headline number, with risk-adjusted recovery applied. The bottom-line “Risk-Adjusted Expected” number is the honest take-home estimate, not the headline.

Most sellers focus on the headline. Sophisticated sellers focus on the risk-adjusted line.

Sources

The calculator’s calibration draws on an internal transaction comp set of closed LMM SaaS deals, drawn from multiple private brokerage sources under non-disclosure. External market research informing the bands and adjustment factors:

• Windsor Drake. “SaaS Valuation Multiples 2026.” Updated February 2026.
• Aventis Advisors. “SaaS Valuation Multiples: 2015–2026.” Updated 2025.
• Aventis Advisors. “Software Valuation Multiples: 2015–2025.” Updated 2025.
• Eqvista. “SaaS Index: Revenue Multiples, Valuations & Market Trends.” Q1 2025.
• SaasRise. “The SaaS M&A Report 2025.” Annual report covering 3,163 private and 61 public software deals from 2024.
• Bessemer Venture Partners. Cloud Index data, 2025.
• Multiples.vc. “Software Valuation Multiples — October 2025.”
• L40°. “SaaS Multiples: Valuation Benchmarks for 2025.”

Questions or want to talk through your specific situation? Reach out at nate@maximumexit.com.