Data as of Sep 12, 2026. Both funds on the fields they both publish, from the same sources.
GLDM vs VNQ: how they differ
GLDM is a commodity fund and VNQ an equity index fund, and over the year GLDM returned more, +19.4% against +5.6%.
SPDR Gold MiniShares Trust and Vanguard Real Estate Index Fund.
| GLDM SPDR Gold MiniShares Trust | VNQ Vanguard Real Estate Index Fund | |
|---|---|---|
| Where it sits | Core index fund | Core index fund |
| Issuer | iShares | Vanguard |
| What it is | Gold MiniShares | US real estate |
| Total return, 1 year | +19.4% | +5.6% |
| S&P 500 over the same days | +17.5% | +17.5% |
| Gap to the S&P 500 | +1.9 pts | −11.9 pts |
| Expense ratio | not published | 0.13% |
| Holdings | not filed | 146 |
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.
VNQ in plain words
VNQ is an index equity fund tracking the US real estate. Over the year to Sep 11, 2026 it returned +5.6% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.13% a year. By its holdings filed for Apr 30, 2026, 63% of the fund by weight is stocks the S&P 500 also holds, across 146 positions, with the top ten at 54.9%. It sat 6.1% below its high of Jul 28, 2026 on Sep 11, 2026.
Questions people ask
- Which returned more over the last year, GLDM or VNQ?
- In the year to Sep 12, 2026, with distributions reinvested, GLDM returned +19.4% and VNQ returned +5.6%, so GLDM returned more. One year is one year; the longer windows are in the table.
Other comparisons
Where to next
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.
Cite this page. ETFIQ, GLDM against VNQ, data as of Sep 12, 2026. https://etfiq.com/compare/any/GLDM-VNQ Free to use with attribution; the underlying files are at Open data.
A comparison is not a recommendation. Standards and sources