Short interest by stock and sector

FINRA short interest for 22,581 securities (13,098 exchange-listed), settlement date 2026-09-30. Search any ticker or company, or open a sector. Updated twice a month as FINRA publishes; history back to December 2017 through the API.

Short interest by sector

Days to cover is the sector's total shares short divided by its total average daily volume, exchange-listed securities only (OTC names are searchable but not aggregated). Changes compare with the prior report and with the report six months earlier (2026-03-31).

Highest days to cover

Exchange-listed companies trading at least 50,000 shares a day.

Biggest rises in short interest

Biggest falls in short interest

Why traders watch short interest

Short interest is the number of shares sold short and not yet covered. Days to cover (shares short divided by average daily volume) says how many days of normal trading it would take shorts to buy back. Academic work has found that heavily shorted stocks, and especially those with high days to cover, have tended to underperform (for example Hong, Li, Ni, Scheinkman and Yan, Days to Cover and Stock Returns, NBER working paper 21166), while sharp rises in short interest in low-float names can also set up squeezes. Our own test on every FINRA report since 2018 found the classic effect has faded: the most-shorted stocks still lagged, but not reliably. Read the research. Test it yourself: the full history since December 2017 is in the API, alongside survivorship-free prices.

import finzdata as yf
yf.Ticker("GME").short_interest          # every report since 2017
yf.Client().short_interest(["GME"], start="2018-01-01")

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