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

KWEB vs QTUM

KraneShares CSI China Internet ETF and Defiance Quantum ETF, side by side on the themes desk.

1% of the two portfolios are the same securities at the same weight.

What they hold in common

By the books each fund has filed, KWEB and QTUM hold 1% of their money in the same securities at the same weight.

Largest positions each one holds and the other does not
Only in KWEBOnly in QTUM
Tencent Holdings Limited 10.47%Arqit Quantum Inc 2.43%
PDD Holdings Inc. 7.94%Horizon Quantum Holdings LTD 2.40%
Alibaba Group Holding Limited 7.72%Quantinuum Inc 1.58%
NETEASE, INC. 6.99%Astera Labs Inc 1.56%
MEITUAN 6.84%Applied Materials Inc 1.56%
BAIDU, INC. 4.20%KLA Corp 1.51%
Full Truck Alliance Co Ltd 4.17%MKS Inc 1.51%
KUAISHOU TECHNOLOGY 4.09%Onto Innovation Inc 1.50%

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.

Performance, window by window

KWEB and QTUM over each window. Every figure is an ETFIQ calculation with distributions reinvested. Source: ETFIQ.
WindowTotal returnvs the S&P 500vs the Nasdaq-100
KWEBQTUMKWEBQTUMKWEBQTUM
3 months−1.2%−3.0%−5.9 pts−7.7 pts−3.3 pts−5.1 pts
6 months−12.3%+35.5%−27.5 pts+20.3 pts−32.5 pts+15.3 pts
1 year−27.2%+58.6%−47.2 pts+38.7 pts−52.8 pts+33.0 pts
3 years+0.5%+196.2%−77.4 pts+118.3 pts−93.0 pts+102.8 pts
Since launch+27.7%+538.2%−435.6 pts+337.0 pts−918.5 pts+225.3 pts
Open the live comparison on ETFIQ
KWEB and QTUM on the themes desk fields, as of Sep 4, 2026. Source: ETFIQ.
KWEB
KraneShares CSI China Internet ETF
QTUM
Defiance Quantum ETF
IssuerKraneSharesDefiance
ThemeInternet and e-commerceQuantum computing
In the S&P 5000.0%35.6%
Active share vs the S&P 500100.0%83.5%
In the Nasdaq-1007.9%27.8%
Holdings3386
Top ten, share of the fund60.2%17.0%
Expense ratio0.69%0.40%
Fee for the differing part0.69%0.48%
Total return, 1 year−27.2%+58.6%
vs the S&P 500−47.2 pts+38.7 pts
vs the Nasdaq-100−52.8 pts+33.0 pts
Below its high−69.8%−12.2%

KWEB in plain words

By weight, 0% of KWEB'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 60% of the fund across 33 positions, as filed for Jun 30, 2026. Over the year to Sep 4, 2026 the fund returned −27.2% with distributions reinvested against +20.0% for the S&P 500, so a holder was behind by 47.2 pts. It sits 69.8% below its all-time high of Feb 17, 2021.

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.

Questions people ask

Do KWEB and QTUM hold the same stocks?
By their latest filings, 1% 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, KWEB or QTUM?
KWEB has 0% of its weight in S&P 500 names and QTUM has 36%, so KWEB differs more from the index.
Which is cheaper, KWEB or QTUM?
KWEB charges 0.69% a year and QTUM charges 0.40%, 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.

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

How every figure is computed · Standards and sources