Datarails Public Market Comparables
Find the most relevant public market comparables for Datarails, including EV/Revenue and EV/EBITDA multiples to help you make informed investment decisions.
Company Overview
Datarails is an AI-powered financial planning and analysis (FP&A) platform that automates data consolidation, reporting, and planning, enabling finance teams to continue using their Excel spreadsheets and financial models. It offers features like budgeting, forecasting, scenario modeling, data visualization, and an AI-powered chatbot for quick financial insights. The platform integrates with various ERP and CRM systems.
Business Model
Subscription-based software as a service (SaaS)
Target Customers
Small to medium-sized businesses (SMBs), mid-market companies, and enterprises; primarily finance teams who heavily utilize Microsoft Excel for financial planning and analysis.
Specific Focus
AI-powered FP&A solutions for Excel users, particularly small to mid-sized businesses (SMBs) and mid-market companies.
Location
New York, New York
CEO
Didi Gurfinkel
Industry
Software & services
Sub Sector
Financial Planning & Analysis (FP&A) Software
3yr Revenue Growth
1,372%
Website
Public Market Comparables
Below are the key valuation metrics for companies similar to Datarails in the Financial Technology (FinTech) sector. These metrics can help you understand how the market values companies with similar business models and growth profiles.
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Unlock the Full Datarails Compset
As a leading player in the Software & services industry within the Financial Technology (FinTech) sector, Datarails operates in the specialized Financial Planning & Analysis (FP&A) Software sub-sector. Understanding how Datarails compares to its public market comps is essential for accurate valuation and strategic decision-making.
Our comprehensive analysis includes detailed comparables (compsets) featuring similar companies in the Financial Planning & Analysis (FP&A) Software space, with complete financial metrics, growth trajectories, and competitive positioning insights that go beyond the surface-level data shown above.
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