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The funds overall investment strategy is to provide total returns (after all of the funds expenses have been deducted) that exceed the total returns of its benchmark index, the Bloomberg U.S. Aggregate Bond Index. The Index is a broadly diversified index that typically consists of investment-grade, fixed income instruments with intermediate to long-term maturities. Consistent with the benchmark index, the funds holdings will normally include U.S. government and agency obligations, mortgage and asset-backed securities, corporate bonds, and U.S. dollar-denominated securities of foreign issuers. While the funds portfolio is structured to have a similar overall risk profile and other characteristics to the Index, the adviser does not attempt to fully replicate the Index. The portfolio manager may adjust certain holdings in relation to their weighting in the Index and rely on quantitative models (as indicated by the QM in the funds name) and fundamental research in an attempt to exceed the return on the index net of fees. These quantitative models are designed to help replicate the overall risk factors and other characteristics of the Index in a more efficient manner and inform portfolio construction.
T. Rowe Price Qm U.S. Bond ETF trades on the ARCA stock market under the symbol TAGG.
As of December 30, 2025, TAGG stock price declined to $43.11 with 52,062 million shares trading.
TAGG has a beta of -0.08, meaning it tends to be less sensitive to market movements. TAGG has a correlation of 0.10 to the broad based SPY ETF.
TAGG has a market cap of $1.53 billion. This is considered a Small Cap stock.
In the last 3 years, TAGG traded as high as $44.66 and as low as $39.80.
TAGG has underperformed the market in the last year with a price return of +7.8% while the SPY ETF gained +16.7%. TAGG has also underperformed the stock market ETF in the last 3 month and 2 week periods returning +1.3% and +0.5%, respectively, while the SPY returned +3.8% and +1.2%, respectively.
TAGG support price is $43.03 and resistance is $43.24 (based on 1 day standard deviation move). This means that using the most recent 20 day stock volatility and applying a one standard deviation move around the stock's closing price, stastically there is a 67% probability that TAGG shares will trade within this expected range on the day.
