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

PPA vs TAN

Invesco Aerospace & Defense 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, PPA 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 PPAOnly in TAN
Boeing Co. (The) 9.11%First Solar, Inc. 11.74%
General Electric Co. 7.85%Nextpower Inc. 9.81%
RTX Corp. 7.13%Enphase Energy, Inc. 8.75%
Lockheed Martin Corp. 6.39%Enlight Renewable Energy Ltd. 7.58%
General Dynamics Corp. 4.52%SolarEdge Technologies, Inc. 6.32%
Northrop Grumman Corp. 4.46%Doral Group Renewable Energy Resources L 5.09%
Honeywell International Inc. 4.39%Sunrun Inc. 4.83%
Howmet Aerospace Inc. 4.18%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 Apr 30, 2026 and May 31, 2026.

Performance, window by window

PPA 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
PPATANPPATANPPATAN
3 months−3.0%−25.0%−7.7 pts−29.7 pts−5.1 pts−27.1 pts
6 months−8.5%−9.8%−23.7 pts−25.0 pts−28.7 pts−30.0 pts
1 year+12.6%+14.3%−7.3 pts−5.6 pts−13.0 pts−11.3 pts
3 years+100.0%−16.7%+22.1 pts−94.7 pts+6.5 pts−110.2 pts
Since launch+1021.7%−38.6%+210.4 pts−850.0 pts−662.3 pts−1722.7 pts
Open the live comparison on ETFIQ
PPA and TAN on the themes desk fields, as of Sep 4, 2026. Source: ETFIQ.
PPA
Invesco Aerospace & Defense ETF
TAN
Invesco Solar ETF
IssuerInvescoInvesco
ThemeDefenseClean energy
In the S&P 50071.1%11.7%
Active share vs the S&P 50096.4%100.0%
In the Nasdaq-1007.3%0.0%
Holdings6031
Top ten, share of the fund55.5%65.2%
Expense ratio0.58%0.70%
Fee for the differing part0.60%0.70%
Total return, 1 year+12.6%+14.3%
vs the S&P 500−7.3 pts−5.6 pts
vs the Nasdaq-100−13.0 pts−11.3 pts
Below its high−10.9%−60.4%

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.

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 PPA 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, PPA or TAN?
PPA has 71% of its weight in S&P 500 names and TAN has 12%, so TAN differs more from the index.
Which is cheaper, PPA or TAN?
PPA charges 0.58% a year and TAN charges 0.70%, 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.

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

How every figure is computed · Standards and sources