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Nasdaq 100 · Return Distribution

Nasdaq 100 Annual Return Distribution

Nasdaq 100 Return Distribution — Distribution histogram of Nasdaq 100 calendar-year returns, displaying high dispersion and fat-tail characteristics.

The plate

Nasdaq 100 · Return Distribution — Nasdaq 100 Annual Return Distribution02468-40%-20%0%20%40%60%
Plate II.9 Every year since 1986 binned by price return (index level, dividends not included) into eleven buckets. Both tails are populated — a first-hand feel for 'high mean ≠ steady growth'.

Latest Snapshot

Data file updated
2026-10-03
Constituents
101
Top 10 weight
46.3%
P/E
30.6
Top weight
NVDA 8.5%
Top weight
Technology 59.2%

Every year since 1986 binned by price return (index level, dividends not included) into eleven buckets. Both tails are populated — a first-hand feel for 'high mean ≠ steady growth'.

What this page answers

This static page is built to answer searches for Nasdaq 100 · Return Distribution. It summarizes the live dataset behind the Nasdaq 100 Annual Return Distribution panel and links to the full interactive chart.

Every year since 1986 binned by price return (index level, dividends not included) into eleven buckets. Both tails are populated — a first-hand feel for 'high mean ≠ steady growth'. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.

View the interactive chart Download raw JSON

Data & Source

GET /api/nasdaq/100.json — Canonical dataset endpoint.

Exchange closing prices · Company filings · Robert Shiller · FRED · NBER.

FAQ

Where does this data come from?

History of Market combines public market and macro datasets — exchange closing prices, company filings, Robert Shiller, FRED, NBER, and the UBS Global Investment Returns Yearbook (Dimson–Marsh–Staunton). The exact endpoint for this panel is linked below.

How often is it updated?

Daily-tier datasets refresh after the U.S. market close, with a broader weekly refresh on Sunday. The timestamp shown on this page comes from the JSON payload.

Can I use the data?

Yes, for research and education with attribution to History of Market. Upstream data sources retain their own terms.