Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
GF Data provides data on private equity-backed middle-market M&A transactions, with a focus on companies with transaction values of roughly $10 million to $500 million. Its product formats include quarterly M&A, leverage, and key deal terms reports, as well as an online valuation database. It is positioned not as a general-purpose BI or CRM tool, but as a vertical data SaaS for M&A, valuation, and capital markets professionals.
The platform’s core value lies in its proprietary M&A transaction data. The website states that it has 330 contributing organizations and that more than 30 data points are collected for each transaction. The online database organizes comparable transactions by NAICS industry code and supports filtering by deal date, transaction size, revenue, revenue growth, adjusted EBITDA margin, TEV/TTM adjusted EBITDA multiple, and other criteria. It also indicates the standard deviation of valuation multiples. Results can be downloaded to Excel, making it easier to incorporate the data into internal reports, valuation workpapers, or client materials.
GF Data uses a subscription model, but it does not publicly disclose pricing, plan tiers, or seat rules; users need to request a demo or contact sales. Its terms indicate that subscriptions typically have an initial term and may then be renewed annually. Content usage restrictions are relatively strict: GFDR assets are generally limited to internal use by the subscriber and its employees. Certain higher-level data may be cited in public contexts, provided copyright notices are retained, while use of industry-specific data is restricted. The website mentions a database security statement and privacy policy, but does not disclose certifications such as SOC 2 or ISO 27001.
Its strengths are its very clear market positioning and focus on the lower middle market, where public information is relatively opaque. It is useful for validating valuation multiples, leverage levels, and deal structures. Excel export also lowers the barrier to integrating the data into internal workflows. The limitations are that it does not disclose API availability, third-party integrations, team permissions, SSO, or self-hosting capabilities, and procurement and implementation transparency is only moderate. Its data coverage is also concentrated on PE-backed transactions, so it is not suitable for comprehensive coverage of all M&A activity or public-market research.
GF Data is best suited to private equity funds, investment banks, valuation advisors, credit institutions, and M&A advisors, for use cases such as managing seller expectations, informing buyer bids, portfolio valuation, and market research. The provided text does not indicate accessibility from China, so this remains unknown; payment methods are also not disclosed. For teams in China, key items to verify include access stability, contract payment arrangements, cross-border data usage restrictions, and comparisons with PitchBook, Preqin, Capital IQ, Mergermarket, as well as local data sources such as 清科 and 投中.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on gfdataresources.biz official site.
gfdataresources.biz is an United States SaaS provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach gfdataresources.biz directly.