Q2 2026 · Cybersecurity dataset
265 companies across 9 niches, with public, private, and M&A comps in one working Excel file.
Every tab answers a specific question about cybersecurity valuations. Start with the summary to establish the range, then go to the database to assemble a peer group that is defensible by niche, stage, and market type. Finro built this for analysts and advisors who need structured cybersecurity comp sets ready to use, not rebuild.
Average and median EV/Revenue by cybersecurity niche, with percentile ranges showing where most companies actually trade across public, private, and M&A segments.
265 companies with EV, revenue, EBITDA where available, funding stage, and calculated EV/Revenue multiples. Every row includes a source link.
Side-by-side comparison of public, private, and M&A pricing by niche — showing exactly where strategic buyers pay premiums and where they apply discounts.
EV/Revenue benchmarks from Seed through Series D+, segmented for stage-matched comparisons in cybersecurity fundraising and valuation work.
79 cybersecurity transactions with multiples benchmarked against public and private comps, including premium and discount analysis by niche.
Source notes, data definitions, and usage terms. Structured to support both internal analysis and external client-facing work.
Four tabs from the working file. This is the format, the structure, and the data density you are getting across all 265 companies.
| Niche | Companies | Avg EV/Rev | Median EV/Rev | Avg Funding |
|---|---|---|---|---|
| Cloud Security | 16 | 22.7x | 18.1x | $388M |
| Data Security | 42 | 19.7x | 12.5x | $261M |
| Identity and Access Management | 29 | 16.8x | 11.2x | $432M |
| Application Security | 52 | 15.4x | 13.0x | $139M |
| Threat Intelligence | 50 | 14.9x | 10.1x | $178M |
| OT / IoT Security | 15 | 14.6x | 12.2x | $214M |
| Endpoint Security | 25 | 14.5x | 9.4x | $312M |
| GRC | 23 | 10.7x | 8.7x | $174M |
| Network Security | 10 | 9.7x | 8.7x | $568M |
* Illustrative preview. Full dataset contains all 265 companies with source links and working analysis tabs.
| Company | Type | Niche | EV ($M) | Revenue ($M) | EV/Rev |
|---|---|---|---|---|---|
| Wiz | M&A Deal | Cloud Security | $32,000 | $1,200 | 26.7x |
| Zscaler | Public | Cloud Security | — | — | — |
| Cloudflare | Public | Cloud Security | — | — | — |
| Upwind | Private | Cloud Security | $1,500 | $61 | 24.5x |
| Orca Security | Private | Cloud Security | $1,800 | $102 | 17.6x |
| Lacework | M&A Deal | Cloud Security | $250 | $80 | 3.1x |
| Lightspin | M&A Deal | Cloud Security | $200 | $5 | 37.0x |
* Each row in the full database includes EV, revenue, EBITDA where available, funding stage, total funding, and a source link.
| Stage | Companies | Median EV/Rev | Avg EV/Rev | 25th percentile | 75th percentile |
|---|---|---|---|---|---|
| Seed | 9 | 15.5x | 18.1x | 6.6x | 29.5x |
| Series A | 21 | 13.6x | 19.1x | 6.5x | 20.8x |
| Series B | 48 | 13.3x | 19.7x | 7.4x | 24.3x |
| Series C | 31 | 12.7x | 14.1x | 7.8x | 18.4x |
| Series D+ | 46 | 12.9x | 15.3x | 8.0x | 18.5x |
* Private companies only. Medians decline from Seed (15.5x) through Series C (12.7x) before a modest recovery at Series D+.
| Niche | Deals | M&A Avg EV/Rev | Private Avg EV/Rev | vs Private |
|---|---|---|---|---|
| Cloud Security | 7 | 31.0x | 16.2x | +91.4% |
| Data Security | 13 | 29.2x | 17.7x | +64.9% |
| IAM | 15 | 20.1x | 14.1x | +42.6% |
| OT / IoT Security | 6 | 19.9x | 12.3x | +61.8% |
| Endpoint Security | 10 | 13.0x | 15.5x | −16.1% |
| Threat Intelligence | 11 | 11.4x | 16.6x | −31.3% |
* Blue values indicate M&A premium over private. Red values indicate M&A discount. Full tab includes all 9 niches and median/percentile breakdown.
The full dataset contains 265 companies with source links and all working analysis tabs.
This is not a market overview. It is a structured working file for professionals who need current multiples, clean niche segmentation, and a peer group they can put in front of a client or a board.
Anchor your pre-raise valuation in real cybersecurity market data. Understand how your niche, funding stage, and business model move your multiple relative to actual peers.
Skip the manual comp rebuild. Filter by niche and stage, identify the right benchmark set, and arrive at investment committee discussions with the analysis already done.
Benchmark transaction multiples against public and private comps by cybersecurity niche. Understand where strategic buyers pay premiums and where they apply discipline.
Support ESOP work, share issuances, impairment testing, and investor reporting with a cited, segmented cybersecurity comparable set that holds up to external review.
Collected through post-purchase feedback and shared without attribution.
"We used the dataset to construct our valuation and support our argument for a revenue multiple in the sale. It gave us a structured, defensible comp set we could put in front of the other side."
Use case: M&A transaction support. The advisor used the dataset to anchor valuation arguments during a sale process, replacing anecdotal benchmarks with structured comparable evidence.
"Exactly what I needed to build a defensible comparable set for a cybersecurity client. The niche segmentation meant I wasn't averaging across companies that aren't genuinely comparable."
Use case: Valuation support for a cloud security platform ahead of a strategic partnership discussion. The advisor used the dataset to assemble a relevant peer group for the board deck.
"We used the dataset to benchmark a valuation on a company we had invested in. It gave us a credible, structured reference point we could share externally with reviewers."
Use case: Investment valuation benchmarking. The managing partner used the dataset to support an independent valuation review, with the comp set shared with external reviewers.
"The dataset helped us confirm assumptions we had been relying on anecdotally. Having structured comp sets by cybersecurity niche made the difference in our Series B preparation."
Use case: Internal valuation for a threat intelligence platform. The team selected the best-fit peer group by niche and stage, then used the comp set to set a valuation target heading into a Series B.
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Cybersecurity is not one valuation market. Public OT/IoT comps average 1.3x while M&A exits in the same niche clear at 19.9x. Threat Intelligence public comps average 1.2x while private peers trade at 16.6x. Using the wrong benchmark in a cybersecurity valuation conversation produces the wrong answer — and it happens more often than it should.
This dataset gives you the segmented, sourced numbers to start the conversation correctly. Every multiple is calculated from disclosed data. Every company is mapped to a niche and market type. The comp set is ready to filter and use, not reconstruct.
Six tabs in Excel: summary snapshot, full company database, niche analysis, funding stage benchmarks, M&A transaction analysis, and methodology. Opens in Excel, Google Sheets, and LibreOffice.
An Excel (.xlsx) workbook with six tabs: Start Here, Summary, Niche Analysis, Funding Stages, M&A Analysis, and the full Company Database. It opens without issues in Excel, Google Sheets, and LibreOffice.
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Public company filings, disclosed funding rounds, M&A transaction announcements, press releases, and Finro internal estimates where operating data is not publicly available. Every company row carries a source link, and internal estimates are clearly flagged in the database.
Yes. The single-user license covers internal use and client-facing materials, provided Finro is credited as the data source. The file itself cannot be redistributed or resold. For team or firm-wide licensing, email info@finrofca.com.
The dataset is a non-refundable digital product delivered immediately on purchase. If you want to confirm the dataset fits your use case before buying, reach out to info@finrofca.com or use the Contact page — happy to answer specific questions.
Yes. Finro publishes valuation multiple datasets across AI, Fintech, PropTech, EdTech, and cybersecurity in the same working format. Browse the full store or email info@finrofca.com with a specific sector or use case.