Data as of Oct 28, 2026.
QQQM vs VGLT: Differences, Returns & Fees
Over the year to Oct 28, 2026, QQQM returned +15.2% to VGLT's −6.7%; 0% of their weight is in the same names.
askIQ about this page
askIQ about QQQM and VGLT
Net assets: $110.4bn on Oct 27, 2026 for Invesco NASDAQ 100 ETF, and $10.4bn on Sep 30, 2026 for Vanguard Long-Term Treasury ETF.
Pair scorecard
VGLT costs 0.12 points a year less; their one-year returns differ by 21.9 points.
| Measure | QQQM | VGLT |
|---|---|---|
| Return | ||
| Total return, 1 year | +15.2% | −6.7% |
| Drawdown | ||
| Below its high | 4.5%, high on Oct 6, 2026 | 38.8%, high on Aug 4, 2020 |
| Benchmark | ||
| What it tracks | Nasdaq-100 Index | Bloomberg U.S. Long Treasury Index |
| Cost and size | ||
| Expense ratio | 0.15% | 0.03% |
| Net assets, QQQM as of Oct 27, 2026 and VGLT as of Sep 30, 2026 | $110.4bn | $10.4bn |
| Holdings | ||
| Holdings in common | 0% | |
| In the S&P 500, by weight | 96% | |
| Top ten holdings, share of the fund | 46.7% | |
Holdings in common uses holdings dated Sep 30, 2026 and Oct 27, 2026. Method
Risk and return
Oct 23, 2020 to Oct 23, 2026 · 313 weekly returnsEach against its own benchmark: QQQM against QQQ, Oct 23, 2020 to Oct 23, 2026; VGLT against SCHQ, Oct 18, 2019 to Oct 23, 2026.
QQQM returned more: +157.2% to −33.7%. VGLT swung less: 13.1% to 21.0%. QQQM fell less at its worst: −35.0% to −42.7%.
Full scorecard
19 measures, with how each is measured Open ↓
| Measure | QQQM | VGLT | Edge | How it is measured |
|---|---|---|---|---|
| Return | ||||
| Total return | +157.2% | −33.7% | QQQM | Price change plus distributions, reinvested. |
| Annualized | +17.0% | −6.6% | QQQM | Total return as a yearly rate. |
| Price return | +147.9% | −45.9% | QQQM | Price change alone, distributions left out. |
| Risk | ||||
| Volatility | 21.0% | 13.1% | VGLT | Spread of weekly returns, annualized. Lower is steadier. |
| Downside deviation | 13.6% | 10.1% | VGLT | Like volatility, counting only weeks below the Treasury bill rate. |
| Max drawdown | −35.0% | −42.7% | QQQM | Deepest fall from a high to the low after it. |
| Upside capture | 99.6% | 99.5% | Share of its benchmark's rise caught in the weeks it rose. | |
| Downside capture | 99.8% | 99.8% | Share of its benchmark's fall taken in the weeks it fell. Lower is better. | |
| Beta | 1.00 | 1.00 | Not an edge | How far it moves for each 1% its benchmark moves. |
| R squared | 1.00 | 1.00 | Not an edge | Share of its weekly moves its benchmark explains. |
| Risk-adjusted | ||||
| Sharpe | 0.70 | −0.70 | QQQM | Return above Treasury bills per unit of volatility. |
| Sortino | 1.07 | −0.92 | QQQM | Return above Treasury bills per unit of downside deviation. |
| Treynor | 0.147 | −0.058 | Return above Treasury bills per unit of beta. | |
| Calmar | 0.49 | −0.15 | QQQM | Annualized return divided by the max drawdown. |
| Against the benchmark | ||||
| Benchmark | QQQ | SCHQ | The ETF each fund is measured against. | |
| Alpha | +0.1% a year | 0.0% a year | Not significant | Yearly return beyond what its beta to the benchmark predicts. |
| Alpha t-stat | 0.62 | −0.24 | Not an edge | How sure the alpha is. Below 2, it could be chance. |
| Alpha range | −0.2% to +0.4% | −0.4% to +0.3% | Includes zero | The 95% range for the yearly alpha. |
| Information ratio | 0.10 | −0.04 | Return against its benchmark per unit of tracking error. | |
| Tracking error | 0.4% | 0.5% | Not an edge | How far weekly returns stray from the benchmark, annualized. |
Computed by ETFIQ from Tiingo daily prices and ETFIQ's distribution records, 313 weekly returns. Cash rate: the 13-week Treasury bill.
What they share
By the books each fund has filed, QQQM and VGLT hold 0% of their money in the same securities at the same weight. Holdings dated Sep 30, 2026 and Oct 27, 2026.
half
0% in common
Only in one fund ↓
Side by side
QQQM and VGLT on the fields both publish, as of Oct 28, 2026. Source: ETFIQ.
QQQM and VGLT do different jobs. What does each one do in a portfolio?
- What each follows. QQQM follows Nasdaq-100 Index and VGLT follows Bloomberg U.S. Long Treasury Index.
- Holdings in common. 0% of the weight is in the same securities (holdings dated Oct 27, 2026 and Sep 30, 2026).
- One-year total return. Over 1 year to Oct 28, 2026 QQQM returned +15.2% and VGLT −6.7% with distributions reinvested, a gap of 21.9 points.
Data as of Oct 28, 2026.
The two-page PDF for this pair is coming. Save the comparison to follow its changes. Free. It needs an email sign-in, once.
QQQM
QQQM tracks the Nasdaq-100. Over the year to Oct 28, 2026 it returned +15.2% with distributions reinvested, against +15.2% for its benchmark, the Nasdaq-100 Index. The prospectus expense ratio is 0.15% a year. By its holdings published by its issuer for Oct 27, 2026, 96% of the fund by weight is stocks the S&P 500 also holds, across 105 positions, with the top ten at 46.7%. It sat 4.5% below its high of Oct 6, 2026 on Oct 28, 2026.
VGLT
VGLT tracks an index of Long-term Treasury. Over the year to Oct 28, 2026 it returned −6.7% with distributions reinvested, against −6.7% for its benchmark, the Bloomberg U.S. Long Treasury Index. The prospectus expense ratio is 0.03% a year. It sat 38.8% below its high of Aug 4, 2020 on Oct 28, 2026.
Questions people ask
- Which returned more over the last year, QQQM or VGLT?
- In the year to Oct 28, 2026, with distributions reinvested, QQQM returned +15.2% and VGLT −6.7%.
- Which is cheaper, QQQM or VGLT?
- VGLT is cheaper, by 0.12 percentage points a year. That is about $12 on $10,000 held for a year. Fees come from each fund's prospectus.
Links are sources, not endorsements. A comparison is not a recommendation.
How this is computed
Overlap adds up the smaller of the two weights for each security both funds hold.
Cite this pageCitation, APA and Markdown
ETFIQ, QQQM against VGLT, data as of Oct 28, 2026. https://etfiq.com/compare/any/qqqm-vs-vglt
ETFIQ. (Oct 28, 2026). QQQM against VGLT. Retrieved from https://etfiq.com/compare/any/qqqm-vs-vglt
[QQQM against VGLT (ETFIQ, Oct 28, 2026)](https://etfiq.com/compare/any/qqqm-vs-vglt)
Free to use with attribution for data ETFIQ computes; issuer data stays under its owner's terms.