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Schwab U.S. Small-Cap ETF

SCHANYSEARCACharles SchwabEquity

$33.16Today:- (-)1Y +15.73%

As of Oct 28, 2026 close

Assets (AUM)
$22.00B
Expense ratio
0.03%
Dividend yield
1.13%
Holdings
1,755
52-week range
$26.46$36.20
Volume (live)
-
Avg. volume (3M)
3.97M

SCHA ETF Historical Prices: Schwab U.S. Small-Cap ETF

Complete OHLC price data, adjusted close prices, and daily trading volume for this Equity ETF. Analyze trends with customizable time periods and intervals.

SCHA Historical Price Chart: Trends & Patterns

Visualize price movements and trading patterns with adjustable time periods and data intervals.

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SCHA Historical Price Data Table

Complete historical stock price data with OHLC prices, adjusted close, and daily trading volume. Filter by time interval and date range for detailed price history analysis.

Filter Historical Data

Active filters: 6 Months · Daily127 records
Showing 1-50 of 127
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SCHA historical price data table with daily, weekly, monthly, quarterly, and yearly trading intervals. Track Open, High, Low, Close, Adjusted Close prices, and trading volume to analyze price trends, technical patterns, and market activity for comprehensive price history analysis.
DateOpenHighLowCloseAdj CloseVolume
Oct 28, 202633.0533.1632.8933.1633.163.83M
Oct 27, 202632.8233.0532.6633.0433.043.46M
Oct 26, 202632.6132.9232.5832.7232.722.97M
Oct 23, 202632.4632.6232.2532.5332.533.05M
Oct 22, 202632.4232.7232.3932.6732.673.99M
Oct 21, 202632.7632.8232.5432.6732.673.60M
Oct 20, 202632.1032.7132.0632.5732.574.89M
Oct 19, 202632.1332.2331.9932.0732.074.72M
Oct 16, 202632.5332.6031.8931.9931.993.32M
Oct 15, 202631.9832.5031.9332.4932.494.21M
Oct 14, 202632.2132.3331.8431.9931.994.76M
Oct 13, 202632.6532.7532.4132.5632.563.60M
Oct 12, 202632.7732.8532.6432.6632.662.32M
Oct 9, 202632.7532.9032.6332.7932.793.08M
Oct 8, 202632.4532.6732.2632.6632.664.72M
Oct 7, 202632.7632.8132.5132.6132.613.38M
Oct 6, 202633.3833.3833.0333.1033.102.93M
Oct 5, 202633.1033.3732.8533.2433.243.84M
Oct 2, 202633.1233.3132.9933.0533.054.01M
Oct 1, 202632.5832.9132.3332.7732.775.40M
Sep 30, 202632.9032.9532.6032.6332.634.93M
Sep 29, 202632.9032.9732.5832.7732.774.79M
Sep 28, 202632.9933.0732.7132.8632.864.68M
Sep 25, 202633.1833.3032.9533.1333.134.72M
Sep 24, 202633.0533.1632.8033.0933.094.22M
Sep 23, 202633.5733.5733.1433.1633.164.10M
Sep 22, 202633.8433.9633.6433.7633.664.41M
Sep 21, 202633.7033.7433.5333.6133.513.72M
Sep 18, 202633.3733.4533.1633.4433.343.32M
Sep 17, 202633.5633.6433.3133.3233.224.07M
Sep 16, 202633.2433.4432.7233.0632.964.12M
Sep 15, 202633.4033.4833.0833.1533.053.83M
Sep 14, 202633.3833.6033.3233.4133.315.14M
Sep 11, 202634.0034.0633.7533.7933.694.11M
Sep 10, 202633.7933.9433.6033.6533.554.38M
Sep 9, 202634.3634.4334.0834.1034.004.01M
Sep 8, 202634.5434.7034.4334.4634.364.07M
Sep 4, 202634.1234.5734.1234.5534.453.61M
Sep 3, 202634.2434.2733.9134.2134.113.26M
Sep 2, 202633.8134.0833.7334.0433.943.42M
Sep 1, 202633.8533.9933.6333.7333.634.08M
Aug 31, 202634.1934.2433.9534.1634.063.41M
Aug 28, 202634.7434.8034.2334.2434.142.94M
Aug 27, 202634.8234.8434.5834.7734.672.37M
Aug 26, 202634.5134.7634.5034.7134.612.15M
Aug 25, 202634.7634.7634.4534.6034.502.63M
Aug 24, 202634.6334.7134.3534.4734.371.34M
Aug 21, 202634.9134.9434.6334.8334.731.05M
Aug 20, 202634.7734.9034.5634.6534.551.46M
Aug 19, 202635.3535.4634.9134.9734.872.67M
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 28, 2026. Data sources and methodology

Understanding Historical ETF Price Data & OHLC Metrics

Open Price
The price at which the ETF opened for trading at the start of the trading session.
High Price
The highest price at which the ETF traded during the trading session.
Low Price
The lowest price at which the ETF traded during the trading session.
Close Price
The final price when trading closed for the session.
Adjusted Close Price
The closing price adjusted for corporate actions such as dividends, stock splits, and rights offerings. Used for accurate long-term historical price analysis and return calculations.
Volume
The total number of shares traded during the session, indicating trading activity and liquidity.

Using Historical Prices for Technical Analysis

Traders and investors use historical price data to identify patterns, support and resistance levels, and price trends. By analyzing OHLC values across different intervals, you can spot key market signals.

Trading Ranges
High and Low prices reveal daily and weekly volatility patterns, helping identify potential breakout or consolidation zones.
Price Momentum
Close price changes across intervals indicate bullish or bearish activity and overall trend direction.
Volume Confirmation
Trading volume validates price movements and trend strength. High volume typically confirms significant price changes.
Long-term Trends
Monthly and yearly intervals reveal major price patterns and cycles, useful for position trading and portfolio analysis.

Frequently Asked Questions About Schwab U.S. Small-Cap ETF Historical Prices

What is OHLC data for SCHA?

OHLC stands for Open, High, Low, Close - the four key price points for SCHA during each trading period. Open is the first trade price, High is the maximum price reached, Low is the minimum price, and Close is the final trade price for the period.

What is adjusted close price for SCHA?

The adjusted close price for SCHA is the closing price modified to account for corporate actions like stock splits and dividend distributions. This provides accurate historical price comparison for long-term analysis.

How far back does SCHA price history go?

SCHA historical price data is available from the ETF's inception on Nov 2, 2009. Use the "Max" time period option to view all available historical data, or select specific periods like 1 year, 5 years, or 10 years.

What time intervals are available for SCHA data?

SCHA historical data is available in multiple intervals: daily (individual trading days), weekly (week-ending prices), monthly (month-end prices), quarterly (quarter-end prices), and yearly (year-end prices).

Why is trading volume important for SCHA?

Trading volume for SCHA indicates market activity and liquidity. High volume often confirms price trends, while low volume may suggest weak price movements. Volume analysis helps validate technical patterns and identify potential reversals.