Vertex, Inc (VERX) Fair Value & Analysis
Technology · US · Market cap $2.1B
Analysis
Vertex, Inc (VERX) currently trades at $10.92, while our model-based Fair Value estimate is $9.75 — implying the stock looks roughly 10.7% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Vertex, Inc., together with its subsidiaries, provides enterprise tax technology solutions for retail trade, wholesale trade, and manufacturing industries in the United States and internationally. The company offers transaction determination; compliance and reporting, including workflow management tools; tax data management and document management solutions; analytics and insights; pre-built integration that includes mapping data fields, and business logic and configurations; industry-specific solutions support certain industries for indirect tax needs, such as retail, communications, and leasing; and technology specific solutions, such as chain flow accelerator and SAP-specific tools. It provides implementation services, such as configuration, data migration and implementation, and support and training; E-invoicing, an end-to-end e-invoicing process; and managed services, including indirect tax return preparation, filing and tax payment, and notice management. The company sells its…
Open the full interactive analysis →
Similar stocks
How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.