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The stated multiple and what the holder got

Over the three months to Oct 9, 2026, 510 of 635 leveraged and inverse ETFs finished short of their own stated multiple. The median fund finished -5.5 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. 115 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
513 of 693
Three months
510 of 635
Six months
331 of 433
One year
214 of 291
Three years
67 of 97

510 of 635 leveraged and inverse ETFs finished short of their stated multiple over three months to Oct 9, 2026.

ETFIQ Narrative

A leveraged ETF promises a multiple of its underlying's daily move, 2x or sometimes more, reset each day. What a holder actually ends up with over weeks or months is a different number, and the gap between the two is the subject here. As of October 9, 2026, across 635 leveraged and inverse ETFs measured over the three months to that date, 510 finished short of their own stated multiple. The median fund finished 5.5 percentage points below what the stated multiple would have produced, having typically moved 6.3% from where that multiple implied.

The mechanism is not a flaw in any one fund. Because the multiple applies to each day's move and then resets, a sequence of daily returns compounds rather than simply adding up. Two up days of 10% followed by a down day of 10% do not net out to the same result as the multiple times the net move over those three days, because the fund is 2x (or whatever the stated multiple is) of each day separately, not of the period as a whole. This is why the gap tracks how much ground the underlying covers along the way, not where it lands at the end. A fund that bounces around a lot before returning to its starting point will show a larger gap than one that moves steadily, even if their final returns look identical.

The data bears this out across holding periods and across volatility bands. At one month, the median fund held 513 of 693 funds short of stated, with underlying volatility around 38% and a median gap of 1.4 points. By three years, only 97 funds in the sample had a long enough run, and the median gap widened to 28 points on volatility of 20%, reflecting that even lower daily swings add up over a long stretch. The volatility breakdown for the three-month window shows the same pattern from another angle: funds tracking underlyings with 0 to 30% volatility had a median gap of 2.0 points, while those above 80% volatility had a median gap of 16.8 points.

A separate question is whether two funds promising the identical multiple on the identical underlying, over the identical days, finish in the same place. They do not. Among 115 underlyings tracked by more than one issuer under the same stated multiple, the spread between the closest and furthest fund ranged from 3.5 to 6.7 percentage points in the cases shown. GME at +2x saw the underlying move 22.5% while GMEC finished -6.3 points from stated and GMEU finished -12.9, a 6.7-point spread between two funds with the same mandate on the same days. MSTR at +2x showed a comparable 6.6-point spread across four issuers.

Readers can look up any individual fund's stated multiple, its mapped underlying, and its measured distance from that multiple over each holding window on ETFIQ's fund pages.

Short of the stated multiple, by the underlying’s volatility
0% to 30%
126 of 183
30% to 50%
132 of 160
50% to 80%
144 of 173
80% and above
108 of 119

510 of 635 leveraged and inverse ETFs finished short of their stated multiple over three months to Oct 9, 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 month693513 of 693−1.4%1.8%38%
Three months635510 of 635−5.5%6.3%47%
Six months433331 of 433−10.2%13.2%45%
One year291214 of 291−12.0%14.4%33%
Three years9767 of 97−28.0%35.4%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+22.5%GMEC -6.3GMEU -12.96.7%
MSTR +2x4+63.1%MSTC -7.2MSTX -13.86.6%
SMCI +2x3+47.9%SMCL -19.7SMCC -25.45.7%
BMNR +2x3+60.4%BNMC -11.2BMNG -16.45.2%
ONDS +2x4−7.3%ONDG -14.7ONDL -19.54.9%
PLTR +2x5+64.9%PLTU +8.4PLTG +3.74.7%
IONQ +2x3−6.9%IONC -12.4IONX -16.64.3%
BE +2x3+14.7%BEX -31.8BEC -35.73.8%
XRP +2x3+25.2%XRPT -17.7XXRP -21.53.8%
COIN +2x5+12.8%COIX -16.3COIA -19.93.6%
Ether +2x4+38.1%ETU -0.4ETHT -4.03.6%
CPER +2x2+6.1%CPXR -2.0UCOP -5.63.5%

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%18317%−2.0%126 of 183
30% to 50%16039%−5.3%132 of 160
50% to 80%17369%−10.4%144 of 173
80% and above11993%−16.8%108 of 119
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 9, 2026. https://etfiq.com/research/2026-10-12/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.