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Data as of Sep 12, 2026. Both funds on the fields they both publish, from the same sources.

ETFIQetfiq.com · independent ETF data

AGG vs GLDM: how they differ

AGG is a bond index fund and GLDM a commodity fund, and over the year GLDM returned more, +19.4% against −0.7%.

iShares Core U.S. Aggregate Bond ETF and SPDR Gold MiniShares Trust.

AGG and GLDM on the fields both publish, as of Sep 12, 2026. Source: ETFIQ.
AGG
iShares Core U.S. Aggregate Bond ETF
GLDM
SPDR Gold MiniShares Trust
Where it sitsCore index fundCore index fund
IssueriSharesiShares
What it isUS aggregate bondsGold MiniShares
Total return, 1 year−0.7%+19.4%
S&P 500 over the same days+17.5%+17.5%
Gap to the S&P 500−18.2 pts+1.9 pts
Expense ratio0.03%not published

AGG in plain words

AGG is a bond fund tracking the US aggregate bonds. Over the year to Sep 11, 2026 it returned −0.7% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.03% a year. It sat 3.7% below its high of Aug 4, 2020 on Sep 11, 2026.

GLDM in plain words

GLDM is a commodity fund tracking the Gold MiniShares. Over the year to Sep 11, 2026 it returned +19.4% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. It sat 19.4% below its high of Jan 29, 2026 on Sep 11, 2026.

Questions people ask

Which returned more over the last year, AGG or GLDM?
In the year to Sep 12, 2026, with distributions reinvested, AGG returned −0.7% and GLDM returned +19.4%, so GLDM returned more. One year is one year; the longer windows are in the table.

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Where these figures came from

ETFIQ links to the documents behind every figure. It is not affiliated with any issuer, and a link is not an endorsement.

AGG against GLDM, ETFIQ, data as of Sep 12, 2026. Every figure is arithmetic on a named public source; the method is at etfiq.com/methodology. A comparison is not a recommendation.

Cite this page. ETFIQ, AGG against GLDM, data as of Sep 12, 2026. https://etfiq.com/compare/any/AGG-GLDM Free to use with attribution; the underlying files are at Open data.

A comparison is not a recommendation. Standards and sources