About Marlowe Keynes

Institutional-grade financial research, made accessible to every investor. Data back to 2007. Covering 8,000+ equities. 50+ metrics per report.

Our Mission

Marlowe Keynes was founded with a singular conviction: the quality of investment research should not be determined by the size of one's budget. For decades, comprehensive financial analysis — the kind that drives informed capital allocation — has been the exclusive domain of institutional investors with access to expensive terminals and proprietary research desks.

We set out to change that. Our platform synthesizes data from institutional-grade providers into clear, actionable reports that any investor can generate in seconds. Every metric is defined, every chart is explained, and every valuation model is transparent. No black boxes.

Named after two of the most influential minds in economics and finance, Marlowe Keynes embodies the principle that understanding markets requires both rigorous quantitative analysis and the wisdom to interpret what the numbers mean.

By the Numbers

8,000+

Equities Covered

50+

Metrics per Report

2007

Historical Data Since

Integrated Tools

PDF/Excel

Export Formats

Free

Core Access

Our Principles

Data Integrity

Every data point is sourced from institutional-grade providers and cross-validated. Our financial data extends back to 2007, covering 8,000+ equities worldwide.

Transparency

We show our methodology. Every chart includes a definition of what it measures, how it's calculated, and why it matters for investment decisions.

Accessibility

Institutional-quality research should not be locked behind expensive terminals. We make professional-grade analysis available to every investor.

Independence

No sponsored content, no paid placements. Our analysis is driven by data, not commercial relationships.

Our Methodology

Every Marlowe Keynes report follows a structured analytical framework designed to give investors a complete picture of a company's financial health, valuation, and competitive position.

Data Collection

We aggregate financial statements, price data, analyst estimates, and macro indicators from institutional-grade sources.

Analysis Engine

Our models compute valuation multiples, growth metrics, profitability ratios, and risk indicators across multiple timeframes.

Report Generation

Results are synthesized into clear, exportable reports with charts, definitions, and contextual commentary.

We use forward-looking projections for valuation metrics (never trailing twelve months), overlay sector averages for context, and include interactive tooltips with company-level detail. Every chart in our reports includes a clear definition of what it measures and why it matters.