Data as of Sep 12, 2026. Both funds on the fields they both publish, from the same sources.
ONEQ vs TLT: how they differ
ONEQ is an equity index fund and TLT a bond index fund, and over the year ONEQ returned more, +20.6% against −6.4%.
Fidelity Nasdaq Composite Index ETF and iShares 20+ Year Treasury Bond ETF.
| ONEQ Fidelity Nasdaq Composite Index ETF | TLT iShares 20+ Year Treasury Bond ETF | |
|---|---|---|
| Where it sits | Core index fund | Core index fund |
| Issuer | Fidelity | iShares |
| What it is | Nasdaq Composite | 20+ year Treasuries |
| Total return, 1 year | +20.6% | −6.4% |
| S&P 500 over the same days | +17.5% | +17.5% |
| Gap to the S&P 500 | +3.1 pts | −23.9 pts |
| Expense ratio | 0.21% | 0.15% |
| Holdings | 1022 | not filed |
ONEQ in plain words
ONEQ is an index equity fund tracking the Nasdaq Composite. Over the year to Sep 11, 2026 it returned +20.6% with distributions reinvested, against +17.5% for the S&P 500 and +23.0% for the Nasdaq-100. The prospectus expense ratio is 0.21% a year. By its holdings filed for May 31, 2026, 87% of the fund by weight is stocks the S&P 500 also holds, across 1022 positions, with the top ten at 57.9%.
TLT in plain words
TLT is a bond fund tracking the 20+ year Treasuries. Over the year to Sep 11, 2026 it returned −6.4% 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. It sat 42.9% below its high of Aug 4, 2020 on Sep 11, 2026.
Questions people ask
- Which returned more over the last year, ONEQ or TLT?
- In the year to Sep 12, 2026, with distributions reinvested, ONEQ returned +20.6% and TLT returned −6.4%, so ONEQ returned more. One year is one year; the longer windows are in the table.
- Which is cheaper, ONEQ or TLT?
- ONEQ charges 0.21% a year and TLT charges 0.15%, so TLT is cheaper. Fees come from each fund's prospectus.
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Where these figures came from
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Cite this page. ETFIQ, ONEQ against TLT, data as of Sep 12, 2026. https://etfiq.com/compare/any/ONEQ-TLT Free to use with attribution; the underlying files are at Open data.
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