Data as of Sep 12, 2026. Both funds on the fields they both publish, from the same sources.
FXI vs VGLT: how they differ
FXI is an equity index fund and VGLT a bond index fund, and over the year VGLT returned more, −5.4% against −13.8%.
iShares China Large-Cap ETF and Vanguard Long-Term Treasury Index Fund.
| FXI iShares China Large-Cap ETF | VGLT Vanguard Long-Term Treasury Index Fund | |
|---|---|---|
| Where it sits | Core index fund | Core index fund |
| Issuer | iShares | Vanguard |
| What it is | China Large-Cap | Long-term Treasury |
| Total return, 1 year | −13.8% | −5.4% |
| S&P 500 over the same days | +17.5% | +17.5% |
| Gap to the S&P 500 | −31.3 pts | −22.9 pts |
| Expense ratio | 0.73% | not published |
| Holdings | 52 | not filed |
FXI in plain words
FXI is an index equity fund tracking the China Large-Cap. Over the year to Sep 11, 2026 it returned −13.8% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.73% a year. By its holdings filed for Apr 30, 2026, 0% of the fund by weight is stocks the S&P 500 also holds, across 52 positions, with the top ten at 56.6%. It sat 28.5% below its high of Feb 17, 2021 on Sep 11, 2026.
VGLT in plain words
VGLT is a bond fund tracking the Long-term Treasury. Over the year to Sep 11, 2026 it returned −5.4% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. It sat 39.2% below its high of Aug 4, 2020 on Sep 11, 2026.
Questions people ask
- Which returned more over the last year, FXI or VGLT?
- In the year to Sep 12, 2026, with distributions reinvested, FXI returned −13.8% and VGLT returned −5.4%, so VGLT returned more. One year is one year; the longer windows are in the table.
Other comparisons
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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, FXI against VGLT, data as of Sep 12, 2026. https://etfiq.com/compare/any/FXI-VGLT Free to use with attribution; the underlying files are at Open data.
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