Data as of Sep 12, 2026. Both funds on the fields they both publish, from the same sources.
LQD vs USFR: how they differ
LQD and USFR are both bond index funds, and over the year USFR returned more, +4.1% against −2.7%.
iShares iBoxx $ Investment Grade Corporate Bond ETF and WisdomTree Floating Rate Treasury Fund.
| LQD iShares iBoxx $ Investment Grade Corporate Bond ETF | USFR WisdomTree Floating Rate Treasury Fund | |
|---|---|---|
| Where it sits | Core index fund | Core index fund |
| Issuer | iShares | WisdomTree |
| What it is | US investment grade bonds | Floating Rate Treasury |
| Total return, 1 year | −2.7% | +4.1% |
| S&P 500 over the same days | +17.5% | +17.5% |
| Gap to the S&P 500 | −20.2 pts | −13.4 pts |
| Expense ratio | 0.14% | 0.15% |
| Holdings | not filed | 4 |
LQD in plain words
LQD is a bond fund tracking the US investment grade bonds. Over the year to Sep 11, 2026 it returned −2.7% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.14% a year. It sat 6.4% below its high of Sep 22, 2021 on Sep 11, 2026.
USFR in plain words
USFR is a bond fund tracking the Floating Rate Treasury. Over the year to Sep 11, 2026 it returned +4.1% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.15% a year.
Questions people ask
- Which returned more over the last year, LQD or USFR?
- In the year to Sep 12, 2026, with distributions reinvested, LQD returned −2.7% and USFR returned +4.1%, so USFR returned more. One year is one year; the longer windows are in the table.
- Which is cheaper, LQD or USFR?
- LQD charges 0.14% a year and USFR charges 0.15%, so LQD is cheaper. Fees come from each fund's prospectus.
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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.
Cite this page. ETFIQ, LQD against USFR, data as of Sep 12, 2026. https://etfiq.com/compare/any/LQD-USFR Free to use with attribution; the underlying files are at Open data.
A comparison is not a recommendation. Standards and sources