QLD vs SQQQ: which held to its multiple?

Over three months against its own daily promise, QLD finished 1.4 points short and SQQQ 3.4 points over. ProShares Ultra QQQ and ProShares UltraPro Short QQQ.

+1.9%
QLD returned, 3 months
−7.9%
SQQQ returned, 3 months
−2.4 pts
QLD from its stated multiple
−1.5 pts
SQQQ from its stated multiple
QLD · 3 months to Sep 30, 20262.4 pts short of its stated multiple
2.4 pts short of its stated multipleQLD returned +1.9% while 2 times QQQ's move would have been +4.2%QQQ +2.1% ×2 implies+4.2%QLD returned+1.9%2.4 pts short of its stated multipleQLD returned +1.9% while 2 times QQQ's move would have been +4.2%QQQ +2.1% ×2 implies+4.2%QLD returned+1.9%

QLD returned +1.9% while 2 times QQQ's move would have been +4.2%

SQQQ · 3 months to Sep 30, 20261.5 pts short of its stated multiple
1.5 pts short of its stated multipleSQQQ returned −7.9% while −3 times QQQ's move would have been −6.4%QQQ +2.1% ×−3 implies−6.4%SQQQ returned−7.9%1.5 pts short of its stated multipleSQQQ returned −7.9% while −3 times QQQ's move would have been −6.4%QQQ +2.1% ×−3 implies−6.4%SQQQ returned−7.9%

SQQQ returned −7.9% while −3 times QQQ's move would have been −6.4%

ETFIQ Decay Resistance Score · QLD scores higherDid it keep up with its own daily multiple, compounded day by day?

QLD among the 470 leveraged ETFs, long, over three months

QLD 89.1
0.1, the lowest in this set99.9, the highest

SQQQ among the 125 inverse ETFs over three months

SQQQ 88.4
0.4, the lowest in this set99.6, the highest

A percentile among the 470 leveraged ETFs, long, over three months. SQQQ is a percentile among the 125 inverse ETFs over three months, a different set, so the two marks are not on one scale. It is a position in a set, not a rating, and neither end of it is a recommendation. All leveraged ETFs ranked by it → How it is computed →

Performance, window by window

Total returnMultiple would giveDifference
WindowQLDSQQQQLDSQQQQLDSQQQ
1 month+6.0%−9.4%+6.6%−9.9%−0.6 pts+0.5 pts
3 months+1.9%−7.9%+4.2%−6.4%−2.4 pts−1.5 pts
6 months+53.2%−54.3%+53.7%−80.6%−0.5 pts+26.4 pts
1 year+39.6%−52.0%+47.6%−71.4%−7.9 pts+19.4 pts
3 years+224.6%−91.7%not meaningfulnot meaningfulnot meaningfulnot meaningful
Since launch
QLD Jan 2010 · SQQQ Feb 2010
+10175.7%−100.0%not meaningfulnot meaningfulnot meaningfulnot meaningful

QLD and SQQQ over each window. Every figure is an ETFIQ calculation with distributions reinvested. Source: ETFIQ. Open the live comparison on ETFIQ →

On the same fields

QLD
ProShares Ultra QQQ · Aims to return twice the daily move of the Nasdaq-100
SQQQ
ProShares UltraPro Short QQQ · Aims to return three times the opposite of the daily move of the Nasdaq-100
Issuer ProShares ProShares
Sets out to return +2x -3x
Underlying asset QQQ QQQ
Segment us large cap us large cap
Fund returned, 3 months or since launch +1.9% −7.9%
Underlying returned, over that window +2.1% +2.1%
What the stated multiple implies, over that window +4.2% −6.4%
Difference from stated, over that window −2.4 pts −1.5 pts
Fund returned, 1 year or since launch +39.6% −52.0%
Difference from stated, over that window −7.9 pts +19.4 pts
Underlying volatility 19% 19%
Expense ratio 0.89% 0.94%
Launched Jan 4, 2010 Feb 11, 2010
Net assets $15.1bn $2.1bn

QLD and SQQQ on the same fields, as of Sep 30, 2026. Source: ETFIQ.

QLD in plain words

Three months to Sep 30, 2026: QLD returned +1.9% where its own daily promise gave +3.3%, 1.4 points short. Read the multiple against the whole window instead and 2 times QQQ's 2.1% implies +4.2%, which makes QLD look 2.4 points short. 0.9 of that is daily compounding, which happens to any 2 times fund over the same path, and the rest is the fund. QLD aims to return +2 times QQQ's move each day, then resets. Over one day it does that. Over longer, the daily results compound, so the total is not +2 times the period's move: in a market that falls and comes back it is reliably less, and in a steady run it can be more. QQQ moved at 19% annualized over that window. That is what decides how far the two figures separate: the same fund on a calm underlying and a violent one is a different product.

SQQQ in plain words

Three months to Sep 30, 2026: SQQQ returned −7.9% where its own daily promise gave −11.3%, 3.4 points over. Read the multiple against the whole window instead and −3 times QQQ's 2.1% implies −6.4%, which makes SQQQ look 1.5 points short. 4.9 of that is daily compounding, which happens to any −3 times fund over the same path, and the rest is the fund. SQQQ aims to return -3 times QQQ's move each day, then resets. Over longer, the daily results compound, so the total is not -3 times the period's move: in a market that falls and comes back it is reliably less, and in a steady run it can be more.

Questions people ask

Which came closer to its stated multiple, QLD or SQQQ?
Over the window to Sep 30, 2026, QLD finished 2.4 points from what its multiple implies and SQQQ finished 1.5 points from its own, so SQQQ came closer. Neither figure predicts the next window: it depends on how much the underlying moves about.
Are QLD and SQQQ levered on the same thing?
Yes. Both are levered on the Nasdaq-100, QLD at +2 times and SQQQ at -3 times the daily move.
Which one decays faster, QLD or SQQQ?
Decay follows how much the underlying moves about. Over this window QLD’s moved at 19% annualized and SQQQ’s at 19%, so QLD has the rougher ride and, at the same multiple, loses more to compounding.
Can I hold QLD or SQQQ for a year?
Both reset every day, so the multiple in the name applies to a single day and the daily results compound. Over a year the total is not the multiple times the year’s move, and in a market that falls and comes back it is reliably less. ETFIQ makes no recommendation either way.
Which is cheaper, QLD or SQQQ?
QLD charges 0.89% a year and SQQQ charges 0.94%, so QLD is cheaper. Fees come from each fund's prospectus.
Cite this page

ETFIQ, QLD against SQQQ, data as of Sep 30, 2026. https://etfiq.com/compare/leverage/qld-vs-sqqq

Open data

Free to use with attribution. Every figure is calculated from a named public source; the method is at etfiq.com/methodology.