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

KWEB vs PPA

KraneShares CSI China Internet ETF and Invesco Aerospace & Defense 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, KWEB and PPA 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 KWEBOnly in PPA
Tencent Holdings Limited 10.47%Boeing Co. (The) 9.11%
PDD Holdings Inc. 7.94%General Electric Co. 7.85%
Alibaba Group Holding Limited 7.72%RTX Corp. 7.13%
NETEASE, INC. 6.99%Lockheed Martin Corp. 6.39%
MEITUAN 6.84%General Dynamics Corp. 4.52%
BAIDU, INC. 4.20%Northrop Grumman Corp. 4.46%
Full Truck Alliance Co Ltd 4.17%Honeywell International Inc. 4.39%
KUAISHOU TECHNOLOGY 4.09%Howmet Aerospace Inc. 4.18%

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 Apr 30, 2026 and Jun 30, 2026.

Performance, window by window

KWEB and PPA over each window. Every figure is an ETFIQ calculation with distributions reinvested. Source: ETFIQ.
WindowTotal returnvs the S&P 500vs the Nasdaq-100
KWEBPPAKWEBPPAKWEBPPA
3 months−1.2%−3.0%−5.9 pts−7.7 pts−3.3 pts−5.1 pts
6 months−12.3%−8.5%−27.5 pts−23.7 pts−32.5 pts−28.7 pts
1 year−27.2%+12.6%−47.2 pts−7.3 pts−52.8 pts−13.0 pts
3 years+0.5%+100.0%−77.4 pts+22.1 pts−93.0 pts+6.5 pts
Since launch+27.7%+1021.7%−435.6 pts+210.4 pts−918.5 pts−662.3 pts
Open the live comparison on ETFIQ
KWEB and PPA on the themes desk fields, as of Sep 4, 2026. Source: ETFIQ.
KWEB
KraneShares CSI China Internet ETF
PPA
Invesco Aerospace & Defense ETF
IssuerKraneSharesInvesco
ThemeInternet and e-commerceDefense
In the S&P 5000.0%71.1%
Active share vs the S&P 500100.0%96.4%
In the Nasdaq-1007.9%7.3%
Holdings3360
Top ten, share of the fund60.2%55.5%
Expense ratio0.69%0.58%
Fee for the differing part0.69%0.60%
Total return, 1 year−27.2%+12.6%
vs the S&P 500−47.2 pts−7.3 pts
vs the Nasdaq-100−52.8 pts−13.0 pts
Below its high−69.8%−10.9%

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.

PPA in plain words

By weight, 71% of PPA's portfolio is stocks that are also in the S&P 500; its active share against the S&P 500 is 96%. The top ten holdings are 56% of the fund across 60 positions, as filed for Apr 30, 2026. Over the year to Sep 4, 2026 the fund returned +12.6% with distributions reinvested against +20.0% for the S&P 500, so a holder was behind by 7.3 pts. It sits 10.9% below its all-time high of Mar 2, 2026.

Questions people ask

Do KWEB and PPA 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, KWEB or PPA?
KWEB has 0% of its weight in S&P 500 names and PPA has 71%, so KWEB differs more from the index.
Which is cheaper, KWEB or PPA?
KWEB charges 0.69% a year and PPA charges 0.58%, so PPA 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 PPA, 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 PPA, data as of Sep 4, 2026. https://etfiq.com/compare/themes/KWEB-PPA.html Free to use with attribution; the underlying files are at Open data.

How every figure is computed · Standards and sources