CCO stock price history

STOCKDelisted1, 5, 15, 30-minute, hourly & daily bars

SymbolCCO-DELISTED
History2005-11-15 to 2026-10-14 (about 21 years)
Bar sizes1-minute, 5-minute, 15-minute, 30-minute, hourly and daily
AdjustmentsUnadjusted, split-adjusted or split-and-dividend-adjusted, chosen on read
SurvivorshipDelisted: kept in full, so backtests see the whole history
Free tierLast 12 months of daily bars

Price history at a glance

CCO last closed at $2.42 on 2026-10-14, +79.3% over the past year and -10.0% over five years. Its deepest fall from a prior high in this history was -98.6%, reached on 2020-03-23.

Last close$2.42 (2026-10-14)
1-year change+79.3%
5-year change-10.0%
Annualized since 2005-11-15-9.4%
52-week range$1.35 – $2.43
Deepest drawdown-98.6% (2020-03-23)
Avg. daily dollar volume (3 months)$16.1m
Daily bars in history5,260

Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.

Institutional ownership (13F, 2026Q2)

Managers holding196
Shares held409,773,192 ($991.2m reported value)
Quarter flows36 new, 64 added, 46 trimmed, 49 exited; +24,855,449 shares vs the prior quarter

From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("CCO") on the look-back bundles. Top holders of CCO · All 13F managers

Short interest (2026-09-30)

Shares short35,064,489 (+12.5% vs prior report)
Days to cover6.20

CCO short interest history · Communication Services sector

CCO FAQ

How far back does CCO price history go?

2005-11-15 to 2026-10-14

Is CCO still trading?

No. CCO was delisted; its last bar is 2026-10-14, and FinzData keeps the full history so backtests stay survivorship-free.

What was CCO's last close?

$2.42 on 2026-10-14, +79.3% over one year

How do I download CCO historical data in Python?

pip install finzdata, then yf.Ticker("CCO-DELISTED").history(start="2005-11-15")

Get it in Python

import finzdata as yf
df = yf.Ticker("CCO-DELISTED").history(start="2005-11-15", interval="1d")
m15 = yf.Ticker("CCO-DELISTED").history(period="5d", interval="15m")  # also 1m, 5m, 30m, 1h
df.tail()

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