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

FTXL vs IGV

First Trust Nasdaq Semiconductor ETF and iShares Expanded Tech-Software Sector 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, FTXL and IGV 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 FTXLOnly in IGV
Micron Technology, Inc. 13.38%Palo Alto Networks, Inc. 10.38%
Intel Corporation 11.40%Microsoft Corp. 8.08%
Marvell Technology, Inc. 7.42%Palantir Technologies, Inc. 7.71%
NVIDIA Corporation 7.05%Crowdstrike Holdings, Inc. 7.29%
Advanced Micro Devices, Inc. 6.47%Oracle Corp. 6.26%
QUALCOMM Incorporated 6.43%Salesforce, Inc. 4.81%
Broadcom Inc. 6.08%AppLovin Corp. 4.76%
Lam Research Corporation 3.57%Cadence Design Systems, Inc. 3.92%

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 Sep 4, 2026.

Performance, window by window

FTXL and IGV over each window. Every figure is an ETFIQ calculation with distributions reinvested. Source: ETFIQ.
WindowTotal returnvs the S&P 500vs the Nasdaq-100
FTXLIGVFTXLIGVFTXLIGV
3 months−6.8%+9.1%−11.4 pts+4.4 pts−8.8 pts+7.0 pts
6 months+60.1%+18.9%+44.9 pts+3.7 pts+39.9 pts−1.3 pts
1 year+131.1%−2.1%+111.2 pts−22.1 pts+105.5 pts−27.7 pts
3 years+218.1%+43.9%+140.1 pts−34.1 pts+124.6 pts−49.6 pts
Since launch+1097.4%+1031.5%+780.3 pts+220.2 pts+546.0 pts−652.5 pts
Open the live comparison on ETFIQ
FTXL and IGV on the themes desk fields, as of Sep 4, 2026. Source: ETFIQ.
FTXL
First Trust Nasdaq Semiconductor ETF
IGV
iShares Expanded Tech-Software Sector ETF
IssuerFirst TrustiShares
ThemeSemiconductorsCloud and software
In the S&P 50085.6%83.2%
Active share vs the S&P 50081.2%92.4%
In the Nasdaq-10080.2%66.9%
Holdings35107
Top ten, share of the fund68.3%60.7%
Expense ratio0.60%not published
Fee for the differing part0.74%not published
Total return, 1 year+131.1%−2.1%
vs the S&P 500+111.2 pts−22.1 pts
vs the Nasdaq-100+105.5 pts−27.7 pts
Below its high−23.3%−11.2%

FTXL in plain words

By weight, 86% of FTXL's portfolio is stocks that are also in the S&P 500; its active share against the S&P 500 is 81%. The top ten holdings are 68% of the fund across 35 positions, as filed for Sep 3, 2026. Over the year to Sep 4, 2026 the fund returned +131.1% with distributions reinvested against +20.0% for the S&P 500, so a holder was ahead by 111.2 pts. It sits 23.3% below its all-time high of Jun 22, 2026.

IGV in plain words

By weight, 83% of IGV's portfolio is stocks that are also in the S&P 500; its active share against the S&P 500 is 92%. The top ten holdings are 61% of the fund across 107 positions, as filed for Jun 30, 2026. Over the year to Sep 4, 2026 the fund returned −2.1% with distributions reinvested against +20.0% for the S&P 500, so a holder was behind by 22.1 pts. It sits 11.2% below its all-time high of Sep 22, 2025.

Questions people ask

Do FTXL and IGV 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, FTXL or IGV?
FTXL has 86% of its weight in S&P 500 names and IGV has 83%, so IGV differs more from the index.

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.

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

How every figure is computed · Standards and sources