Looking for revenue multiples by industry so you can price your round — or sanity-check a term sheet?

A revenue multiple says: the business is worth roughly X times its revenue. In formula form:

Enterprise value ≈ Revenue × Multiple

For SaaS venture deals, “revenue” is often ARR (trailing or forward). For marketplaces it may be net revenue, not GMV. For hardware it may be recognized sales with very different margins.

Open equation graphic → · SaaS ARR bands →

EV / Revenue vs price-to-sales (P/S)

Eqvista ranks for both “revenue multiples by industry” and “price to sales ratio by industry” with large public tables. Those tables are useful — and dangerous — if you paste them into a seed deck.

Rule: Public multiples are context for exits and late-stage comps. They are not a plug-and-play seed price.

Indicative private SaaS bands (educational)

These bands move with the rate cycle, AI narrative premiums, and net revenue retention. Treat them as directional. A 200% growth AI infra company and a 35% growth vertical SMB tool should not share a multiple just because both are “software.”

What actually moves the multiple

1. Growth — YoY ARR growth still dominates software conversations
2. Retention — NRR / GRR; logo churn kills multiples
3. Gross margin — services-heavy “software” compresses
4. Concentration — one customer = 40% of ARR is a discount
5. Efficiency — burn multiple and payback (CAC/LTV)
6. Market regime — 2021 ≠ 2023 ≠ 2026 clears
7. Narrative quality — AI that shows up in margins vs AI as slideware

Industry tables: how to read them without lying to yourself

Public EV / Revenue by industry lists (Damodaran-style, FullRatio P/S, Eqvista mirrors) often show:

• Extremely high multiples in niches with tiny revenue or option-like biotech
• Low multiples in mature retail, logistics, or capital-intensive sectors
• Sector labels that do not match your vertical SaaS buyer

Founder workflow:

1. Note the public industry multiple as a ceiling / exit reference, not a raise target.
2. Translate to your business model (ARR vs GMV vs product sales).
3. Apply a stage haircut — seed and Series A rarely clear public SaaS medians without extraordinary growth.
4. Cross-check with ownership math (VC method) and recent deals in your vertical.
5. If you are approaching PE buyout metrics, switch lenses to EBITDA multiples — how PE evaluates companies.

Worked micro-example

• ARR (forward): $5M
• Investor quotes 8× forward ARR
• Implied EV: $40M
• Net cash: $4M → simplified equity value ≈ $44M
• Raising $8M primary → rough post-money depends on whether the $40M was pre or post — always clarify.

For pre-revenue companies, revenue multiples do not apply. Use Berkus or scorecard methods with angels, then graduate to multiples when ARR is real.

SERP honesty (who you are competing with)

Page-1 results for “revenue multiples by industry” often include Eqvista, advisory PDFs, SMB transaction blogs, and Equidam-style tools. Page-1 for “revenue multiple valuation startup” skews toward SaaS SEO blogs and buyer-side SMB sites.

VCT’s job: explain the venture round mechanics and link to funds/deals you can actually research in the directory — not republish a 90-row public comps dump we cannot maintain.

Practical takeaway

1. State the definition — EV / Revenue vs P/S vs EV / ARR.
2. State the period — TTM vs NTM vs ARR.
3. Do not weaponize public bank multiples for a seed SaaS raise.
4. Negotiate with comps + ownership, not a single industry average.

Further reading

• ARR and MRR
• Berkus method
• Venture capital method
• Down rounds
• Aswath Damodaran data pages (public comps context): https://pages.stern.nyu.edu/~adamodar/