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The stated multiple and what the holder got

Over the three months to Oct 14, 2026, 507 of 644 leveraged and inverse ETFs finished short of their own stated multiple. The median fund finished -4.6 points from its stated multiple.

These funds deliver the multiple over a single day and reset. Daily results compound, so a run of days is not the multiple times the period's move, and the gap widens with how far the underlying travels rather than with where it ends up. 127 underlyings carry the same stated multiple from more than one issuer. Same mandate, same days, and the spread between the closest and the furthest is in the second table.

Short of the stated multiple, by holding period
One month
449 of 679
Three months
507 of 644
Six months
314 of 418
One year
203 of 284
Three years
67 of 98

507 of 644 leveraged and inverse ETFs finished short of their stated multiple over three months to Oct 14, 2026.

ETFIQ Narrative

As of October 14, 2026, most leveraged and inverse ETFs have not delivered their stated multiple over the three months just ended. Of 644 funds in this group, 507 finished short of the multiple printed in their name, with the median fund landing 4.6 percentage points below it. This is not a defect in any single fund. These products are built to deliver their multiple over one day, then reset, so what a holder gets over weeks or months is the result of that daily multiple compounding on itself, not the multiple simply applied to the period's overall move.

The pattern across holding periods makes the mechanism visible. Over one month, 449 of 679 funds were short, with a median gap of 1.3 points. Stretch the window to six months and the median gap widens to 7.4 points; at one year it is 10.6 points; at three years, across a smaller surviving set of 98 funds, it reaches 27.1 points. The median distance the underlying travelled also grows across these windows, from 1.8% at one month to 34.6% at three years. The gap tracks how far the underlying moves during the period, not simply where that underlying ends up, which is consistent with the daily-reset design these funds disclose.

Volatility sharpens the effect further. Funds tracking underlyings with volatility of 0% to 30% showed a median difference from stated of −1.8% over three months, with 120 of 179 funds short. At the other end, funds tied to underlyings with volatility of 80% and above showed a median difference of −15.4%, with 106 of 131 short. The median volatility numbers in between, 39% and 69%, line up with median gaps of −5.0% and −9.3%. The data shows the gap widening in step with how choppy the underlying has been, separate from any trend in its price.

Where more than one issuer runs the same mandate on the same underlying, the spread between funds is visible even though the daily multiple and the number of days are identical. On GME at +2x, two issuers produced a 6.4 point spread between the closest fund and the furthest, with the underlying up 22.0%. On BMNR at +2x, three issuers produced a 6.2 point spread on a 40.9% move. Smaller spreads also appear, such as 3.4 points between two funds tracking NXPI at +2x and seven funds tracking SPCX at +2x. Because these funds share the same stated multiple and the same trading days, the differences between them come down to how each fund is constructed and run, not to any difference in mandate.

Readers can look up any individual fund on ETFIQ's fund pages to see its stated multiple, its measured difference from that multiple over one month, three months, six months, one year and three years, and the volatility of the underlying it tracks over the same period.

Short of the stated multiple, by the underlying’s volatility
0% to 30%
120 of 179
30% to 50%
128 of 158
50% to 80%
153 of 176
80% and above
106 of 131

507 of 644 leveraged and inverse ETFs finished short of their stated multiple over three months to Oct 14, 2026, grouped by how much the underlying moved.

How far from the stated multiple, by how long it was held

How far from the stated multiple, by how long it was held
WindowFundsShort of statedMedian differenceMedian distanceMedian underlying volatility
One month679449 of 679−1.3%1.8%39%
Three months644507 of 644−4.6%5.7%48%
Six months418314 of 418−7.4%9.2%45%
One year284203 of 284−10.6%13.4%33%
Three years9867 of 98−27.1%34.6%20%

The same trade from more than one issuer, widest spread first

The same trade from more than one issuer, widest spread first
OnIssuersUnderlying movedClosest to statedFurthestSpread
GME +2x2+22.0%GMEC -6.7GMEU -13.16.4%
BMNR +2x3+40.9%BNMC -16.2BMNG -22.46.2%
TSEM +2x2−16.7%TSEU -6.8TSEG -12.15.3%
MSTR +2x4+47.0%MSTC -16.4MSTX -21.34.9%
ONDS +2x4−12.9%ONDU -11.3ONDL -16.04.8%
SMCI +2x3+33.1%SMCL -25.5SMCC -29.84.3%
RGTI +2x3−23.4%RGTC -4.1RGTX -8.44.3%
PLTR +2x5+50.2%PLTU -2.4PLTG -6.23.8%
CPER +2x2+2.7%CPXR -2.0UCOP -5.73.6%
CRCL +2x4+21.1%CCUP -20.8CRCA -24.43.5%
NXPI +2x2−20.5%NXPX +2.8NXPG -0.73.4%
SPCX +2x7+12.5%SPCM -15.6SPCU -19.03.4%

Erosion against the underlying’s volatility, three months

Erosion against the underlying’s volatility, three months
Underlying volatilityFundsMedian volatilityMedian difference from statedShort of stated
0% to 30%17917%−1.8%120 of 179
30% to 50%15839%−5.0%128 of 158
50% to 80%17669%−9.3%153 of 176
80% and above13193%−15.4%106 of 131
Method

Every number is an ETFIQ calculation from Tiingo end-of-day prices with distributions reinvested, measured against the fund’s own underlying over exactly the same days. The stated multiple comes from the fund’s registered name; the underlying is mapped by hand and checked against the name the exchange gives it. Funds whose underlying has no investable tracker are listed on ETFIQ and excluded here, because there is nothing to measure them against. Rebuilt every trading night.

Data file: leverage.json. ETFIQ is an independent publisher and makes no recommendations. Standards →

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ETFIQ Research, The stated multiple and what the holder got, data as of Oct 14, 2026. https://etfiq.com/research/2026-10-15/leverage-label

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Free to use with attribution for data ETFIQ computes; issuer data stays under its owner's terms. The underlying files are at Open data.