Proptech Valuation Multiples Database: 2025 Edition
Proptech Valuation Multiples Database: 2025 Edition
Your Go-To Resource for PropTech Valuations
Unlock unparalleled insights into PropTech with the 2025 PropTech Valuation Multiples Database. This expertly curated Excel spreadsheet offers a comprehensive analysis of 150+ PropTech companies across private startups, public companies, and M&A deals. Whether you’re an investor, founder, or analyst, this tool equips you to stay ahead in the evolving real estate technology landscape.
What's Inside?
Company Name & Niche: Identify where each company operates within the PropTech space.
Market Symbol & Beta: Essential data for public companies, including ticker symbols and beta values.
Enterprise Value: Gain a clear understanding of market valuations.
TTM Revenues & EBITDA: Access trailing twelve months’ financial performance metrics.
Valuation Multiples: Instantly compare EV/Revenue and EV/EBITDA multiples across companies, niches, and the entire PropTech market.
Niches Covered:
Explore nine key PropTech niches with detailed data and analysis:
1. Property Management and Rental Solutions: Streamline rental processes, property maintenance, and tenant management with tech-enabled solutions.
2. Real Estate Transactions and Financing: Simplify property buying, selling, and financing with platforms that reduce inefficiencies and improve user experiences.
3. Construction and Development Tech: Innovate the way buildings are designed, constructed, and maintained with cutting-edge tools and software.
4. AI and Data-Driven PropTech: Leverage AI to optimize property valuations, urban planning, and operational decision-making with advanced data insights.
5. Sustainable and Green PropTech: Drive eco-friendly practices and innovations for sustainable construction, energy management, and waste reduction.
6. Co-Living and Shared Spaces: Cater to modern urban living trends with solutions for shared housing and collaborative spaces.
7. Home Improvement and Maintenance: Enable homeowners and contractors to manage renovations, repairs, and home upgrades efficiently.
8. Property Investment Platforms: Empower investors with platforms that simplify access to real estate opportunities and provide transparent financial insights.
9. Specialized PropTech: Address niche needs within the real estate ecosystem with unique, targeted technologies.
Who Is This For?
Founders & Executives: Benchmark your company against industry leaders.
Investors & Analysts: Spot growth opportunities and evaluate market trends.
Researchers & Strategists: Support your insights with accurate and up-to-date data.
Why Download This Database?
This isn’t just a spreadsheet; it’s your shortcut to actionable insights. Save hours of research and make data-backed decisions with ease. Whether you’re analyzing investments, preparing a pitch, or crafting market strategies, this tool is your edge in the PropTech industry.
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For just €17.90, download the 2025 PropTech Valuation Multiples Database and uncover the data behind the real estate tech revolution.
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This is a non-refundable digital product. The information provided in this document is for informational purposes only and should not be regarded as investment advice or a recommendation regarding any particular security or course of action. Neither, Finro Limited (“Finro”) nor any of its affiliates makes any representation or warranty or guarantee as to the completeness, accuracy, timeliness or suitability of any information contained within any part of the Report nor that it is free from error.
Finro does not accept any liability (whether in contract, tort or otherwise howsoever and whether or not they have been negligent) for any loss or damage (including, without limitation, loss of profit), which may arise directly or indirectly from use of or reliance on such information. Information in this report was obtained from publicly available sources, information obtained from the client or Finro’s internal analysis, projections and estimations.
Please read the full disclaimer in the spreadsheet before using the data.