The fund, using a market capitalization weighted approach, is designed to generally purchase a broad and diverse group of securities of U.S. small cap companies. Dimensional is traded on NYSEARCA Exchange in the United States. Beta of 1.17 is near the market average; It falls under the Size and Style and Small Cap category. Beta of 1.17 is near the market average.
Performance
Weak
Weak
Strong
Odds Of Distress
Low
High
Low
Dimensional Small Cap (DFAS) is currently priced at $70.75 as of March 24, 2026, representing an 2.18% increase on the day after opening at $69.24 with an intraday range between $70.36 and $71.74. Dimensional Small currently exhibits 9% estimated likelihood of financial distress over the forecast period. Over the prior 90 trading days, Dimensional Small has delivered negative risk-adjusted returns, in line with its weak performance profile. The performance scores apply to the period beginning December 24, 2025 and ending March 24, 2026. Learn more.
Open Interest Against 2026-06-18 Dimensional Option Contracts
Current option-chain data for Dimensional Small Cap covers the June 18, 2026 expiration. The chain lists 24 contracts (11 calls, 13 puts). Key chain metrics currently indicate implied volatility near 0.26, put/call open-interest ratio around 1.5, and max pain near strike 74.0. Strike-level open interest is available in the full chain. View more details.
Options open interest data for Dimensional Small reflects contract activity levels. All values for Dimensional Small are presented as informational context.
Jed S. Fogdall, Joel P. Schneider, Marc C. Leblond
Transfer Agent
Citibank, N.A.
Fiscal Year End
31-Oct
Exchange
NYSE Arca, Inc.
Number of Constituents
2,097
Market Maker
Virtu Financial
Total Expense
0.27
Management Fee
0.25
Country Name
USA
Returns Y T D
-0.62
Name
Dimensional U.S. Small Cap ETF
Currency Code
USD
Open Figi
BBG011DXXTS9
In Threey Volatility
17.95
1y Volatility
12.72
200 Day M A
68.9668
50 Day M A
73.91
Code
DFAS
Updated At
23rd of March 2026
Currency Name
US Dollar
In Threey Sharp Ratio
0.44
Type
ETF
Sector Allocation
Investors typically prefer portfolios diversified across different sectors. Wider sector coverage improves the probability of positive returns, though it may compress Dimensional Etf expected return.
Exchange-traded funds like Dimensional Small Cap Etf offer a low-cost alternative to custom portfolios. Sector ETF diversification can be an effective strategy for adjusting sector exposure.
Common Risk Profiles
The Capital Asset Pricing Model (CAPM) is the industry-standard tool for estimating the acceptable return on Dimensional Small. The model's core insight - that risk and reward are proportional - is communicated through alpha and beta.
This analysis covers sixty-one data points across the selected time horizon. Dimensional Small Cap Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Dimensional Small price patterns.
Dimensional Small is is formed as Regulated Investment Company in the United States. ETF is managed and operated by Citi Fund Services Ohio, Inc.. The fund has 2097 constituents across multiple sectors and instustries. The fund charges 0.25 percent management fee with a total expences of 0.27 percent of total asset. The fund retains 99.97% of assets under management (AUM) in equities. For Dimensional Small Cap, recent data highlights $4.1 billion in Total Assets and an ETF Asset Type of Equity.
Investor Insights and Alerts
Dimensional Small generated a negative expected return over the last 90 days
A thematic view of Dimensional Small Cap is valuable because it lets investors test the idea inside a broader opportunity set instead of judging the security in isolation. The practical benefit is that investors can optimize around a trend, not just around one name that may or may not remain the best expression of that trend.
For active positions in Dimensional Small Cap, intraday data shows when a move is gaining strength and when it is fading. They help with timing and trade management, but still need to match broader trend and volatility conditions.
Forecast models for Dimensional Small Cap use past prices and returns to estimate how the etf may behave under similar conditions. Financial data rarely stays stable for long, so the model is best used as a probability tool, not a price promise.
The ETF overview for Dimensional Small focuses on exposure design, holdings transparency, and trading mechanics. The ETF provides exposure to Size And Style ETFs, Small Cap ETFs. The current allocation is approximately 100.0% equities. It is classified under Small Blend within the Dimensional Fund Advisors family.
Methodology
Unless otherwise specified, data for Dimensional Small Cap is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Dimensional Small Cap market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Dimensional Small Cap may trade at a premium or discount to its reported net asset value (NAV) depending on intraday supply, demand, and underlying basket liquidity. Assumptions: We primarily rely on public fund disclosures, holdings reports, and market data feeds, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
Dimensional Small Cap may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
The foundation for reviewing Dimensional Small Cap is its financial reporting and trend data. The dataset reflects Dimensional Small's financial reporting across available periods.
Diversification context is available through Investing Opportunities. Diversification context is built from the relationships between portfolio holdings. Tracking Dimensional Small Cap in a portfolio provides context for performance attribution. The relative size of each holding follows the selected allocation framework. Broader economic conditions can influence Dimensional Small Cap's etf valuation — related indicators include signals in nation.
Dimensional Small information on this page supports broader research rather than acting as a stand-alone signal. For Dimensional Small, the analytical tools below add portfolio-level context that single-security review alone cannot provide. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
For Dimensional Small Cap, market value and book value represent two distinct lenses on the same underlying business. Where intrinsic value falls relative to market price and book value helps frame the analytical picture.
Understanding Dimensional Small involves recognizing that value and price can reflect different time horizons. Valuation inputs span operating results, balance sheet health, and forward growth signals.