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Diamond Hill Large Cap Concentrated (DHLX) ETF Holdings & Analysis

ETFOther

$13.70+0.59%
1-year price historyRange $12.54 – $14.01
52-week range$13.70
$12.54$14.04

What DHLX does

This fund strives to achieve substantial long-term growth for investors by strategically investing in equities that Diamond Hill's management team believes are trading below their intrinsic worth. It employs a disciplined valuation strategy, focusing on identifying attractive opportunities among large-cap companies based on their fundamental and relative value.

Fund profile

Category
Other
AUM
$23.69M
Holdings
10
52-week high
$14.04
52-week low
$12.54

Top holdings

Top 1058%
HoldingWeight
MICROSOFT CORP8.10%
CONOCOPHILLIPS7.89%
BERKSHIRE HATH-B6.71%
AMAZON.COM INC6.47%
LABCORP HOLDINGS5.34%
THERMO FISHER5.14%
JPMORGAN CHASE4.75%
UNION PAC CORP4.69%
META PLATFORMS-A4.56%
AON PLC-CLASS A4.54%

Geographic allocation

Ireland4.55%
United States95.38%
Other0.07%

PortView Portfolio Insights

PortView analyzes how DHLX fits your actual portfolio — position weight, ETF overlap with your other funds, sector and geographic exposure, concentration, and how this fund contributes to your portfolio risk and return. Connect a portfolio to see your personalized figures; PortView never shows another user's private holdings.

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Related securities

Related stocks

Frequently asked questions

What does DHLX track?
DHLX is the Diamond Hill Large Cap Concentrated ETF, a Other ETF.
What is the expense ratio of DHLX?
Expense ratio data for DHLX is shown on the page when available from our data provider.
What are the largest holdings in DHLX?
Top holdings include MSFT, COP, BRK-B, AMZN, LH.
How can PortView analyze DHLX overlap with other ETFs?
PortView computes the holdings overlap between DHLX and the other ETFs and stocks you own, plus your combined sector and geographic exposure, so you can see true diversification.

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.