Research pack · Overview
The 2,000 largest listed companies book $52.9 trillion of revenue, a sum equal to 47% of world GDP, and they sit on $91 trillion of market value. Around them are 12,500 more listed firms, 1,442 private unicorns and 60 stock exchanges. This pack puts all of it in one place so you can check a number, see how it is spread and read the caveats before you write.
The world's GDP is the yardstick. Against it we set what the Forbes Global 2000 sold, earned and was worth in 2025.
Forbes Global 2000 totals vs world GDP, US$ trillion
Source: Forbes Global 2000 (2026; revenue and profit are latest fiscal year, market value is a May 2026 snapshot); World Bank, GDP current US$, 2024.
Cumulative share of the Global 2000 total held by the top N firms. X axis is log scale.
Source: Forbes Global 2000 (2026). Firms ranked separately on each metric; loss-makers count as zero profit.
Each box is one company, grouped by sector, and its area is the metric you pick. Hover a box for the company's numbers, or click a sector to zoom in.
Forbes Global 2000 by sector and company, box area = revenue
Source: Forbes Global 2000 (2026), with the 13-sector taxonomy from scripts/taxonomy.py. The 7 largest sectors by revenue get their own colour and the other 6 share grey. Firms with negative profit are left out of the profit view.
Share of the Forbes Global 2000 total, top 12 countries
Source: Forbes Global 2000 (2026). Country is where the company is headquartered. Forbes lists Hong Kong and Taiwan separately from China. The Geography page has the full map.
Each page takes one question. Every chart has hover detail, a data table and a source line.
There are four layers here, each kept on its own ledger. The Forbes list measures revenue, the listed universe measures market value, the unicorn board measures private paper valuation, and the World Bank gives the frame (GDP, workers, the count of listed firms). They cover different companies and different years, so they are never added into one pie.
Source, publisher, kind and trust level. Click a column header to sort.
Registry from data_analysis/output/STUDY_PACK.md, Appendix A.