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Dimensional US Real Estate (DFAR) ETF Holdings & Analysis

ETFOther

$25.85-0.40%
1-year price historyRange $22.72 – $27.40
52-week range$25.85
$22.65$27.60

What DFAR does

The Portfolio seeks to achieve long-term capital appreciation. The Portfolio will concentrate investments in readily marketable equity securities of companies whose principal activities include ownership, management, development, construction, or sale of residential, commercial or industrial real estate.

Fund profile

Category
Other
AUM
$1.67B
Holdings
10
52-week high
$27.60
52-week low
$22.65

Top holdings

Top 1050%
HoldingWeight
WELLTOWER INC8.10%
PROLOGIS INC.6.90%
EQUINIX INC5.32%
AMERICAN TOWER CORP. REIT4.71%
SIMON PROPERTY GROUP INC.4.51%
DIGITAL REALTY TRUST INC4.47%
REALTY INCOME CORPORATION4.47%
PUBLIC STORAGE3.94%
VIVMARK RESIDENTIAL3.76%
VENTAS INC.3.67%

Sector allocation

Real Estate100.00%

Geographic allocation

United States100.00%

PortView Portfolio Insights

PortView analyzes how DFAR 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.

Analyze DFAR in PortView →

Related securities

Related stocks

Frequently asked questions

What does DFAR track?
DFAR is the Dimensional US Real Estate ETF, a Other ETF.
What is the expense ratio of DFAR?
Expense ratio data for DFAR is shown on the page when available from our data provider.
What are the largest holdings in DFAR?
Top holdings include WELL, PLD, EQIX, AMT, SPG.
How can PortView analyze DFAR overlap with other ETFs?
PortView computes the holdings overlap between DFAR 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.