PortViewPortView
Dillards Capital Trust I CAP SECS 7.5% logo

Dillards Capital Trust I CAP SECS 7.5% (DDT) Stock Analysis

NYSEConsumer CyclicalDepartment Stores

$26.11-0.19%
1-year price historyRange $25.78 – $26.72
52-week range$26.11
$25.11$26.80

What Dillards Capital Trust I CAP SECS 7.5% does

Serving as a financial enterprise, Dillard's Capital Trust I provides capital for endeavors within the department store sector.

Key metrics

Market cap
$412.54M
P/E (TTM)
0.60
EPS (TTM)
$43.74
Beta
0.01
Dividend yield
5.00%
Revenue / share
$423.04
50-day avg
$26.28
200-day avg
$26.17
52-week high
$26.80
52-week low
$25.11
CEO
William T. Dillard

ETFs linked to DDT

Broad-market and Consumer Cyclical sector ETFs an investor holding Dillards Capital Trust I CAP SECS 7.5% is often also exposed to. Open an ETF page to see its actual top holdings.

PortView Portfolio Insights

PortView analyzes how DDT fits your actual portfolio — position weight, portfolio concentration, unrealized gain/loss, contribution to return, sector exposure, indirect exposure through the ETFs you hold, and correlation with your other holdings. Connect a portfolio to see your personalized figures; PortView never shows another user's private holdings.

Analyze DDT in PortView →

Frequently asked questions

What is the ticker symbol for Dillards Capital Trust I CAP SECS 7.5%?
Dillards Capital Trust I CAP SECS 7.5% trades under the ticker DDT on NYSE.
Which exchange is DDT listed on?
DDT is listed on NYSE.
What sector does Dillards Capital Trust I CAP SECS 7.5% operate in?
Dillards Capital Trust I CAP SECS 7.5% is classified in the Consumer Cyclical sector (Department Stores industry).
How can PortView help analyze DDT in a portfolio?
PortView shows DDT's weight in your portfolio, its contribution to return and risk, sector exposure, indirect exposure through ETFs you own, and correlation with your other holdings.

The information provided by PortView is for informational and educational purposes only and does not constitute investment advice. Market data may be delayed. Past performance does not guarantee future results.