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Data as of . Every figure is the themes desk's own, on published data.

QTUM vs TAN

Defiance Quantum ETF and Invesco Solar ETF, side by side on the themes desk.

0% of the two portfolios are the same securities at the same weight.

What they hold in common

By the books each fund has filed, QTUM and TAN hold 0% of their money in the same securities at the same weight.

Largest positions each one holds and the other does not
Only in QTUMOnly in TAN
Arqit Quantum Inc 2.43%First Solar, Inc. 11.74%
Horizon Quantum Holdings LTD 2.40%Nextpower Inc. 9.81%
Quantinuum Inc 1.58%Enphase Energy, Inc. 8.75%
Astera Labs Inc 1.56%Enlight Renewable Energy Ltd. 7.58%
Applied Materials Inc 1.56%SolarEdge Technologies, Inc. 6.32%
KLA Corp 1.51%Doral Group Renewable Energy Resources L 5.09%
MKS Inc 1.51%Sunrun Inc. 4.83%
Onto Innovation Inc 1.50%O.Y. Nofar Energy Ltd. 4.21%

Weight overlap is an ETFIQ calculation: for every security both funds hold, the smaller of the two weights, summed. Above 50%, holding both is close to holding one of them twice. Holdings as filed for Jun 30, 2026 and May 31, 2026.

Performance, window by window

QTUM and TAN over each window. Every figure is an ETFIQ calculation with distributions reinvested. Source: ETFIQ.
WindowTotal returnvs the S&P 500vs the Nasdaq-100
QTUMTANQTUMTANQTUMTAN
3 months−3.0%−25.0%−7.7 pts−29.7 pts−5.1 pts−27.1 pts
6 months+35.5%−9.8%+20.3 pts−25.0 pts+15.3 pts−30.0 pts
1 year+58.6%+14.3%+38.7 pts−5.6 pts+33.0 pts−11.3 pts
3 years+196.2%−16.7%+118.3 pts−94.7 pts+102.8 pts−110.2 pts
Since launch+538.2%−38.6%+337.0 pts−850.0 pts+225.3 pts−1722.7 pts
Open the live comparison on ETFIQ
QTUM and TAN on the themes desk fields, as of Sep 4, 2026. Source: ETFIQ.
QTUM
Defiance Quantum ETF
TAN
Invesco Solar ETF
IssuerDefianceInvesco
ThemeQuantum computingClean energy
In the S&P 50035.6%11.7%
Active share vs the S&P 50083.5%100.0%
In the Nasdaq-10027.8%0.0%
Holdings8631
Top ten, share of the fund17.0%65.2%
Expense ratio0.40%0.70%
Fee for the differing part0.48%0.70%
Total return, 1 year+58.6%+14.3%
vs the S&P 500+38.7 pts−5.6 pts
vs the Nasdaq-100+33.0 pts−11.3 pts
Below its high−12.2%−60.4%

QTUM in plain words

By weight, 36% of QTUM's portfolio is stocks that are also in the S&P 500; its active share against the S&P 500 is 84%. The top ten holdings are 17% of the fund across 86 positions, as filed for Jun 30, 2026. Over the year to Sep 4, 2026 the fund returned +58.6% with distributions reinvested against +20.0% for the S&P 500, so a holder was ahead by 38.7 pts. It sits 12.2% below its all-time high of Jun 2, 2026.

TAN in plain words

By weight, 12% of TAN's portfolio is stocks that are also in the S&P 500; its active share against the S&P 500 is 100%. The top ten holdings are 65% of the fund across 31 positions, as filed for May 31, 2026. Over the year to Sep 4, 2026 the fund returned +14.3% with distributions reinvested against +20.0% for the S&P 500, so a holder was behind by 5.6 pts. It sits 60.4% below its all-time high of Feb 9, 2021.

Questions people ask

Do QTUM and TAN hold the same stocks?
By their latest filings, 0% of their books are the same securities at the same weight, which is mostly different names. Overlap is the sum of the smaller weight of every security they share.
Which is more different from the S&P 500, QTUM or TAN?
QTUM has 36% of its weight in S&P 500 names and TAN has 12%, so TAN differs more from the index.
Which is cheaper, QTUM or TAN?
QTUM charges 0.40% a year and TAN charges 0.70%, so QTUM is cheaper. Fees come from each fund's prospectus.

Other comparisons

Where these figures came from

ETFIQ links to the documents behind every figure. It is not affiliated with any issuer, and a link is not an endorsement.

QTUM against TAN, ETFIQ, data as of Sep 4, 2026. Every figure is arithmetic on a named public source; the method is at etfiq.com/methodology. A comparison is not a recommendation.

Cite this page. ETFIQ, QTUM against TAN, data as of Sep 4, 2026. https://etfiq.com/compare/themes/QTUM-TAN.html Free to use with attribution; the underlying files are at Open data.

How every figure is computed · Standards and sources