What does an equity research analyst do?

An equity research analyst evaluates listed companies to produce investment recommendations for institutional and retail investors. Their work involves financial modelling, earnings forecasting, company management meetings, and sector analysis. Buy-side analysts work for fund managers informing their own investment decisions, while sell-side analysts work for brokers producing published research.

How do I access equity research reports?

Equity research reports are available through broker platforms, financial data terminals, company investor relations portals, and independent research providers. Institutional-grade research is typically restricted to professional investors, but retail investors can access earnings analysis and sector commentary through platforms like StockWire X, which covers ASX and global equities.

What is the difference between equity research and fundamental analysis?

Equity research is the broader professional practice of analysing listed companies and producing investment recommendations, typically including both qualitative assessment and financial modelling. Fundamental analysis is the specific analytical methodology used within equity research, focusing on financial statement analysis, business model evaluation, and intrinsic value estimation.

What is the difference between sell-side and buy-side equity research?

Sell-side equity research is produced by investment banks and brokers primarily to support institutional clients, often tied to capital markets business relationships. Buy-side equity research is conducted internally by asset managers and hedge funds to inform their own portfolio decisions. Companies providing independent equity research or financial data services generate revenue from subscriptions and data licences rather than transaction flow, a distinction that has become more important as regulations increased transparency of research costs.

How do financial data and analytics companies create sustainable competitive advantages?

Financial data companies build competitive advantages through the depth of proprietary data assets, the cost of data collection, the switching costs from deep integration into client workflows, and network effects where more users improve product value. Companies with decades of historical financial data or exclusive licensing arrangements for specific data sets are difficult for competitors to replicate. Investors assess the defensibility of data assets, customer concentration, and the growth trajectory of recurring subscription revenue.