Q2 2026 Proptech dataset
230 companies and M&A deals across 9 Proptech niches, with public, private, and transaction comps in one working Excel file.
Each tab answers a different Proptech valuation question. Use the summary tabs to frame the valuation range, then use the company database to build a peer group you can actually defend.
Average and median EV/Revenue by Proptech niche, with valuation differences across private companies, public companies, and M&A deals.
230 companies and M&A deals with company type, niche, funding data, EV/Revenue, EV/Funding, and valuation inputs where available.
Comparison across 9 Proptech niches, including AI and data-driven Proptech, transaction platforms, property management, construction tech, and more.
Private market EV/Revenue benchmarks from Seed through Series D+, structured for stage-matched Proptech valuation work.
Proptech transaction multiples by niche, with deal-level benchmarks and strategic buyer logic across 36 M&A transactions.
Source notes, metric definitions, methodology, and usage terms, structured for internal work and client-facing support.
This is the level of detail inside the file, with structured outputs across major Proptech segments.
| Niche | Avg EV/Rev | Market signal |
|---|---|---|
| Sustainable and Green Proptech | 24.0x | High average, small-sample sensitivity |
| Property Investment Platforms | 11.6x | Investment workflow exposure |
| Real Estate Transactions and Financing | 11.2x | Largest benchmark category |
| AI and Data-Driven Proptech | 10.5x | Decision and data layer premium |
| Property Management and Rental Solutions | 9.5x | Recurring workflow value |
| Construction and Development Tech | 8.4x | Execution and project-risk value |
| Company type | Count | Avg EV/Rev | Interpretation |
|---|---|---|---|
| Private companies | 169 | 12.1x | Growth and category leadership |
| Public companies | 25 | 4.0x | Market discipline and liquidity |
| M&A transactions | 36 | 7.5x | Strategic buyer logic |
| Stage | Avg EV/Rev | Median EV/Rev | Signal |
|---|---|---|---|
| Seed | 10.4x | 5.6x | Wide dispersion |
| Series A | 11.5x | 6.5x | Early commercialization proof |
| Series B | 12.4x | 10.2x | Validation point |
| Series C | 13.9x | 7.3x | Highest average |
| Series D+ | 10.2x | 8.6x | Mature growth benchmark |
| M&A category | Deals | Avg EV/Rev | Buyer logic |
|---|---|---|---|
| Real Estate Transactions and Financing | 9 | 9.0x | Transaction workflow control |
| Property Management and Rental Solutions | 8 | 7.5x | Operating system expansion |
| AI and Data-Driven Proptech | 7 | 7.1x | Data and decision automation |
| Construction and Development Tech | Selected deals | 11.7x | Project execution control |
* Illustrative preview. The full dataset contains 230 companies and M&A deals with working analysis tabs.
This is not a lightweight market summary. It is a working file for professionals who need current numbers, clean segmentation, and a peer set they can defend.
Frame internal valuation ahead of a fundraise and understand how stage, revenue model, and Proptech niche affect trading range.
Build comp sets faster, filter by niche and stage, and arrive at internal discussions with the benchmark work already done.
Understand transaction multiples, buyer logic, and strategic control points across Proptech M&A activity.
Support share issuances, ESOP work, impairment testing, or investor reporting with a current comparable set.
Practical use cases for founders, investors, advisors, and valuation professionals working with Proptech companies.
Use the dataset to build a defensible peer group for a Proptech company instead of relying on one broad market-wide multiple.
Compare private-company valuation expectations with public-market discipline and M&A transaction benchmarks.
Analyze where buyers pay for strategic control points such as transaction workflows, property operations, proprietary data, or automation layers.
Use EV/Funding to test whether a company created meaningful enterprise value relative to the capital raised.
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