ETFIQ Research · rebuilt every trading night

The stated multiple and what the holder got

Over the three months to Sep 22, 2026, 412 of 540 leveraged and inverse ETFs finished short of their own stated multiple. The median fund finished -4.5 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. 53 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
481 of 680
Three months
412 of 540
Six months
303 of 406
One year
208 of 313
Three years
63 of 126

412 of 540 leveraged and inverse ETFs finished short of their stated multiple over three months to Sep 22, 2026.

ETFIQ Narrative

Over the three months to September 22, 2026, 412 of 540 leveraged and inverse ETFs finished short of their own stated multiple. The median fund landed 4.5 points from where that multiple, applied simply to the underlying's move, would have put it. Across the five holding windows measured, the pattern holds in every one: at one month, 481 of 680 funds fell short by a median of 1.6 points; at six months, 303 of 406 fell short by 10.4 points; at one year, 208 of 313 fell short by 8.6 points; at three years, 63 of 126 fell short by 0.7 points.

The reason sits in how these funds work. They deliver their stated multiple over a single trading day, then reset. String days together and the daily results compound rather than add, so the outcome over a quarter or a year is not simply the multiple times the underlying's move over that period. What drives the gap is not where the underlying ends up but how far it travels along the way. This shows in the median distance column: at three months the median underlying moved 6.1% one way, with volatility of 47%, well above the one-month window's 2.0% move and 45% volatility. The erosion table sharpens this. Underlyings with volatility of 0% to 30% (167 funds) showed a median difference from stated of -1.9%, while those with volatility of 80% and above (124 funds) showed -18.8%, with 108 of 124 funds falling short. The relationship is consistent: more volatility, more erosion, regardless of the fund's issuer or ticker.

The data also lets a reader compare funds that chase the same underlying at the same stated multiple but come from different issuers. 53 underlyings carry an identical multiple from more than one issuer, and the spread between the closest and furthest fund on the same trade can be wide. On ETHA +2x, where the underlying moved +65.8% and four issuers offered the trade, ETU finished closest to stated at +21.2 while ETHT finished furthest at +15.1, a spread of 6.1 points. On XRPR +2x, with three issuers and the underlying up 44.4%, XRPT finished at -10.8 against XXRP's -15.9, a 5.1-point spread. Smaller spreads appear too: XLK +2x, tracked by two issuers against a 6.7% underlying move, showed ROM at -3.2 and XLKX at -4.9, a 1.6-point spread. Same mandate, same days, same underlying move, different results.

None of this is a comment on any single fund's construction or fees. It reflects the mechanics of daily compounding applied to funds that reset each day, measured here against Tiingo end-of-day prices with distributions reinvested, using each fund's own underlying over the same dates. Funds whose underlying has no investable tracker are excluded, since there is nothing to measure them against.

Readers can pull up any of these tickers on the live desk to see the fund's own return, its underlying's move over the same window, and the resulting distance from the stated multiple, updated to the same date as this data.

Short of the stated multiple, by the underlying’s volatility
0% to 30%
111 of 167
30% to 50%
95 of 125
50% to 80%
98 of 124
80% and above
108 of 124

412 of 540 leveraged and inverse ETFs finished short of their stated multiple over three months to Sep 22, 2026, grouped by how much the underlying moved.

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

WindowFundsShort of statedMedian differenceMedian distanceMedian underlying volatility
One month680481 of 680−1.6%2.0%45%
Three months540412 of 540−4.5%6.1%47%
Six months406303 of 406−10.4%13.5%44%
One year313208 of 313−8.6%14.7%34%
Three years12663 of 126−0.7%39.6%20%

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

OnIssuersUnderlying movedClosest to statedFurthestSpread
ETHA +2x4+65.8%ETU +21.2ETHT +15.16.1%
XRPR +2x3+44.4%XRPT -10.8XXRP -15.95.1%
CPER +2x2+11.0%CPXR -1.8UCOP -5.74.0%
SPCX +2x7−0.9%SPCM -13.8SPCU -16.62.9%
PDD +2x2+5.0%KPDD -5.8PDDL -8.42.6%
IBIT +2x4+38.3%BITX +3.4BITU +0.82.6%
XLE +2x3+14.1%ERX -1.2XLEX -3.42.2%
GLD +2x2+6.0%UGL -2.4UGLD -4.31.8%
EWZ +2x3+12.0%BRZU -1.7BRZX -3.51.8%
FXI +2x2+6.6%XPP -2.1CCPX -3.81.7%
SLV +2x2+9.0%AGQ -5.1USLV -6.71.6%
XLK +2x2+6.7%ROM -3.2XLKX -4.91.6%

Erosion against the underlying’s volatility, three months

Underlying volatilityFundsMedian volatilityMedian difference from statedShort of stated
0% to 30%16717%−1.9%111 of 167
30% to 50%12540%−4.6%95 of 125
50% to 80%12467%−9.6%98 of 124
80% and above12493%−18.8%108 of 124
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 →

Cite this page

ETFIQ Research, The stated multiple and what the holder got, data as of Sep 22, 2026. https://etfiq.com/research/2026-09-22/leverage-label

Open data →

Free to use with attribution; the underlying files are at Open data.