What 2026 online-business multiples actually look like (and how I built a category-aware valuation calculator)

What 2026 online-business multiples actually look like (and how I built a category-aware valuation calculator)

I built a free online business valuation calculator covering 8 categories — SaaS, Chrome extensions, Telegram bots, AI tools, mobile apps, e-commerce, newsletters, Shopify apps, plus a pre-revenue path. This is a write-up of the methodology behind the multiples, because most existing calculators either treat "online business" as a single homogeneous thing or hide their assumptions.

The short version: each category trades at very different multiples in 2026, and using a generic 3x-revenue rule across all of them produces estimates that are 30-60% off in either direction.

Here's the per-category breakdown my calculator uses, with the underlying signal I weighted for each.

SaaS: 3-5x ARR, premium 6-8x for niche leaders

The base case is 3-5x ARR. Drivers I tracked:

• Monthly churn ≤ 5% → +0.5x
• YoY growth > 20% → +0.5-1x
• No customer > 20% MRR concentration → +0.5x
• Stripe API verifiable revenue → +0.3x
• Documentation completeness → +0.3x

Stack all of these and a $5K MRR SaaS goes from $180K base to ~$420K premium. Stagnant SaaS with declining MRR or single-customer concentration falls to 1.5-2.5x ARR — the discount comes from the same drivers in reverse.

I capped the upside at 8x because beyond that, sales are usually strategic rather than market-rate. Founders who have a strategic acquirer waiting don't run auctions or use calculators — they negotiate directly.

Chrome extensions: $1-10 per WAU, or 2-4x ARR for paid tiers

Two valuation paths depending on monetization:

• Free / freemium extensions: $1-10 per Weekly Active User. The wide range is real — utility extensions with high engagement and clear monetization potential trade at the top end. Ad-supported or low-engagement extensions trade at the bottom.
• Paid extensions with recurring revenue: 2-4x ARR, like a small SaaS.

The non-negotiable: Manifest V3 compliance. As of 2026 every extension must be on MV3 or it's effectively unsellable — Chrome Web Store will eventually deprecate any non-compliant. I gate the multiple to 0 if the seller checks "MV2 / unmigrated."

Other signals that move the multiple:

• Review score > 4.0 → keeps full multiple
• Review score < 3.5 → 50% haircut
• Last update > 90 days ago → 30% haircut
• Documented Chrome Web Store transfer process → +20%

Telegram bots: 12-24x MRR for paid, $5-30 per active subscriber for free

Telegram bots are the most volatile category. Two paths:

• Paid bots: 12-24x MRR. Telegram Stars revenue counts. Bots with documented payment-key migration command upper quartile. Bots without verifiable @botfather ownership get a 50%+ haircut.
• Free / freemium bots: $5-30 per active subscriber, where the multiple depends on engagement (DAU/MAU ratio) and niche.

Niche premiums apply. Productivity, analytics, and customer-support bots trade above content-aggregation or meme bots. CIS-region bots specifically trade differently from English-speaking bots — payment-method differences (TON, Telegram Stars vs Stripe) affect the multiple.

AI tools: 4-8x ARR (the hottest category in 2026)

AI tools currently command the highest multiples in the small-online-business market. Drivers:

• Model risk: tools running on proprietary fine-tunes get +1-2x vs thin GPT wrappers. Buyers have learned that "GPT wrapper at $X MRR" sells for less than "GPT wrapper with proprietary prompt library at $X MRR."
• API cost margin: gross margin > 70% needed for premium pricing. If your $5K MRR tool costs $2K in OpenAI API calls, it gets valued at the margin, not the revenue.
• Workflow stickiness: tools embedded into multi-step automations (Zapier, n8n, custom integrations) get +1x because switching cost is high.

The hidden multiple-killer: dependency on one model provider with no fallback. Tools that broke when Claude/Anthropic changed pricing in 2025 lost 30-50% of their valuation overnight.

Mobile apps: 2-4x annual revenue

Subscription-based apps at the high end (3-4x), ad-supported apps at the low end (2-2.5x). The multiple-shaping signals:

• Day 30 retention > 40% → upper end
• App Store / Play Store account transferability — must be a clean dev account move, not a sub-license. Critical legal point that kills 1 in 5 deals.
• ASO health: keyword rankings, review scores, last update date.

E-commerce: 2-4x annual SDE (not revenue)

This is where amateur valuations go wrong most often. E-commerce is valued on Seller's Discretionary Earnings — net profit + owner add-backs — not gross revenue. A $1M revenue Shopify store with $80K SDE is a $160K-320K business, not $3M.

The biggest multiple movers:

• Inventory transferability and warehousing arrangements
• Supplier diversification (concentration in one supplier is a 30%+ haircut)
• Brand recognition vs pure dropship (branded stores trade higher)
• Return-customer percentage (>30% → premium)

Newsletters: $1-10 per active subscriber

Open-rate-anchored. B2B newsletters with documented sponsor pricing > 40% open rate sit at the upper end. Consumer-content with stale lists at the lower end. Platform matters: ConvertKit/Beehiiv/Substack with portable subscriber data trade higher than ones locked into proprietary platforms.

Pre-revenue / MVP: cost-to-rebuild + traction premium

Doesn't fit revenue-multiple models. Most pre-revenue MVPs sell at $1K-15K in 2026, with code-quality and documentation having outsized impact. Buyers anchor on:

• Cost to rebuild the technical asset
• Waitlist / beta-user traction as a discount on user acquisition
• GitHub history quality — clean commits, working CI/CD, real engineering vs Replit-and-pray

ExitBid is one of the few platforms that accepts pre-revenue listings — most marketplaces (Acquire.com, Empire Flippers) reject anything without MRR. We accept pre-revenue and the calculator has a dedicated path.

What the calculator doesn't capture

• Time of year. Q4 SaaS sales close at higher multiples than Q1 because year-end M&A budget pressure.
• Specific buyer competition. Two motivated PE firms = +30%. One reluctant indie buyer = -30%.
• Brand value. Established brand with backlinks and recognition trades above no-brand at the same MRR.
• Operational complexity. Heavy ops (warehouses, customer support teams) drag multiples down because takeover risk is real.

These are all reasons the calculator gives a range rather than a single number, and why the actual sale price often comes in 20-30% off the mid-range estimate in either direction.

Try it

Free, no signup, runs in 30 seconds: exitbid.io/tools/calculator. Covers all 8 categories above plus pre-revenue. Output is a low / mid / high estimate plus the multiple and the math behind it.

Built it because I needed it for my own listings and the existing free calculators were either too generic or too gated behind email signups. If you have category-specific multiples that diverge from these, drop them in comments — I'll update the calculator's underlying multiples if there's evidence the market has moved.

— Alex Web, founder of ExitBid