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

FDN vs TAN

First Trust Dow Jones Internet Index Fund 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, FDN 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 FDNOnly in TAN
Amazon.com, Inc. 9.84%First Solar, Inc. 11.74%
Meta Platforms, Inc. (Class A) 9.79%Nextpower Inc. 9.81%
Cisco Systems, Inc. 7.22%Enphase Energy, Inc. 8.75%
Salesforce, Inc. 6.19%Enlight Renewable Energy Ltd. 7.58%
Arista Networks, Inc. 5.21%SolarEdge Technologies, Inc. 6.32%
Booking Holdings Inc. 4.91%Doral Group Renewable Energy Resources L 5.09%
Alphabet Inc. (Class A) 4.78%Sunrun Inc. 4.83%
Oracle Corporation 4.52%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 May 31, 2026 and Sep 4, 2026.

Performance, window by window

FDN 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
FDNTANFDNTANFDNTAN
3 months+7.0%−25.0%+2.3 pts−29.7 pts+4.9 pts−27.1 pts
6 months+18.1%−9.8%+2.9 pts−25.0 pts−2.1 pts−30.0 pts
1 year+3.8%+14.3%−16.2 pts−5.6 pts−21.8 pts−11.3 pts
3 years+69.7%−16.7%−8.3 pts−94.7 pts−23.8 pts−110.2 pts
Since launch+1039.1%−38.6%+227.8 pts−850.0 pts−644.9 pts−1722.7 pts
Open the live comparison on ETFIQ
FDN and TAN on the themes desk fields, as of Sep 4, 2026. Source: ETFIQ.
FDN
First Trust Dow Jones Internet Index Fund
TAN
Invesco Solar ETF
IssuerFirst TrustInvesco
ThemeInternet and e-commerceClean energy
In the S&P 50082.7%11.7%
Active share vs the S&P 50085.5%100.0%
In the Nasdaq-10057.3%0.0%
Holdings4231
Top ten, share of the fund60.6%65.2%
Expense ratio0.49%0.70%
Fee for the differing part0.57%0.70%
Total return, 1 year+3.8%+14.3%
vs the S&P 500−16.2 pts−5.6 pts
vs the Nasdaq-100−21.8 pts−11.3 pts
Below its high−1.5%−60.4%

FDN in plain words

By weight, 83% of FDN's portfolio is stocks that are also in the S&P 500; its active share against the S&P 500 is 86%. The top ten holdings are 61% of the fund across 42 positions, as filed for Sep 3, 2026. Over the year to Sep 4, 2026 the fund returned +3.8% with distributions reinvested against +20.0% for the S&P 500, so a holder was behind by 16.2 pts.

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 FDN 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, FDN or TAN?
FDN has 83% of its weight in S&P 500 names and TAN has 12%, so TAN differs more from the index.
Which is cheaper, FDN or TAN?
FDN charges 0.49% a year and TAN charges 0.70%, so FDN 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.

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

How every figure is computed · Standards and sources