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Invesco S&P SmallCap 600 QVM Multi-factor ETF

QVMSNYSEARCAInvescoEquity

$32.00Today:- (-)1Y +16.89%

As of Oct 16, 2026 close

Assets (AUM)
$236.60M
Expense ratio
0.15%
Dividend yield
1.29%
Holdings
545
52-week range
$26.45$35.42
Volume (live)
-
Avg. volume (3M)
1.95K

QVMS ETF Historical Prices: Invesco S&P SmallCap 600 QVM Multi-factor ETF

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

QVMS Historical Price Chart: Trends & Patterns

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

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QVMS 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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QVMS 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 16, 202632.3732.4431.9532.0032.008.44K
Oct 15, 202632.2932.2932.2932.2932.29276
Oct 14, 202631.8631.8631.8631.8631.8657
Oct 13, 202632.1232.3732.1232.3732.37182
Oct 12, 202632.1132.6832.1132.3332.3314.15K
Oct 9, 202632.3632.3632.3632.3632.36108
Oct 8, 202632.1632.3232.1632.3232.3218.95K
Oct 7, 202632.2232.2232.2232.2232.2282
Oct 6, 202632.6932.6932.6632.6632.661.25K
Oct 5, 202632.6932.6932.6932.6932.6919
Oct 2, 202631.5932.6931.5732.5932.591.45K
Oct 1, 202632.1932.2332.1932.2332.23530
Sep 30, 202632.2832.2832.0632.0632.061.50K
Sep 29, 202632.2332.2432.2332.2432.24599
Sep 28, 202632.3532.3532.3032.3032.301.35K
Sep 25, 202632.5632.5632.5632.5632.5666
Sep 24, 202632.4232.4232.4232.4232.4249
Sep 23, 202632.6632.6632.4732.4732.47762
Sep 22, 202632.8132.8132.8132.8132.81140
Sep 21, 202632.6632.7332.6632.6832.68598
Sep 18, 202632.6332.7232.6032.7232.598.56K
Sep 17, 202632.9532.9532.8932.8932.76501
Sep 16, 202633.0133.0132.8532.8532.72273
Sep 15, 202632.9132.9132.9132.9132.79182
Sep 14, 202633.1333.2333.1333.1333.00556
Sep 11, 202633.4433.4533.4333.4333.30382
Sep 10, 202633.1633.2933.1633.2233.091.09K
Sep 9, 202633.7033.7033.4933.5133.382.65K
Sep 8, 202633.9334.0133.8633.8633.73740
Sep 4, 202634.1034.1334.0634.1333.99248
Sep 3, 202633.9433.9433.9133.9433.811.05K
Sep 2, 202633.8233.8233.8133.8133.68893
Sep 1, 202633.7333.7333.4633.4633.334.22K
Aug 31, 202633.8733.8833.7833.8833.753.08K
Aug 28, 202634.1334.1334.1334.1334.0061
Aug 27, 202634.7234.7234.2934.4234.29932
Aug 26, 202634.5434.5434.3534.4334.30870
Aug 25, 202634.4034.4034.4034.4034.2668
Aug 24, 202634.4034.4034.4034.4034.26159
Aug 21, 202634.4834.5834.4834.5834.45160
Aug 20, 202634.3334.3334.3334.3334.2016
Aug 19, 202634.7034.7034.7034.7034.56195
Aug 18, 202634.8134.8534.7434.7434.612.14K
Aug 17, 202635.3035.3035.3035.3035.16149
Aug 14, 202635.0135.4235.0135.4235.28384
Aug 13, 202635.3135.3135.2435.2435.11151
Aug 12, 202634.9635.1434.9635.1435.00227
Aug 11, 202635.0735.0734.9634.9634.821.25K
Aug 10, 202634.8234.8434.8234.8234.683.12K
Aug 7, 202635.0435.0435.0435.0434.91544
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 16, 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 Invesco S&P SmallCap 600 QVM Multi-factor ETF Historical Prices

What is OHLC data for QVMS?

OHLC stands for Open, High, Low, Close - the four key price points for QVMS 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 QVMS?

The adjusted close price for QVMS 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 QVMS price history go?

QVMS historical price data is available from the ETF's inception on Jun 29, 2021. 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 QVMS data?

QVMS 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 QVMS?

Trading volume for QVMS 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.