Data as of .
AIQ vs PPA: which is really different?
PPA holds 71.8% of its weight in S&P 500 companies and AIQ 55.9%.
ETFIQ Off-Index Score: PPA scores higher
How much of it is not the index it is sold as an alternative to?
A percentile among the 371 thematic ETFs with a holdings filing. It is a position in a set, not a rating, and neither end of it is a recommendation. All thematic ETFs ranked by it · How it is computed
What they hold in common
By the books each fund has filed, AIQ and PPA hold 0% of their money in the same securities at the same weight.
| Only in AIQ | Only in PPA |
|---|---|
| PALANTIR TECHNOLOGIES INC-A 3.72% | RTX Corp 8.29% |
| MICROSOFT CORP 3.57% | Boeing Co/The 7.05% |
| SPACE EXPLORATION TECHN-CL A 3.51% | General Electric Co 6.94% |
| ORACLE CORP 3.44% | Lockheed Martin Corp 6.59% |
| TESLA INC 3.14% | General Dynamics Corp 4.97% |
| NETFLIX INC 3.08% | Northrop Grumman Corp 4.95% |
| AMAZON.COM INC 3.02% | Howmet Aerospace Inc 3.92% |
| META PLATFORMS INC 2.94% | Parker-Hannifin Corp 3.84% |
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 dated Sep 10, 2026 and Sep 11, 2026.
Performance, window by window
| Window | Total return | vs the S&P 500 | vs the Nasdaq-100 | |||
|---|---|---|---|---|---|---|
| AIQ | PPA | AIQ | PPA | AIQ | PPA | |
| 3 months | 0.0% | −7.0% | −3.3 pts | −10.3 pts | +0.8 pts | −6.2 pts |
| 6 months | +32.3% | −6.5% | +16.3 pts | −22.5 pts | +11.6 pts | −27.2 pts |
| 1 year | +35.7% | +8.5% | +18.2 pts | −9.0 pts | +12.7 pts | −14.4 pts |
| 3 years | +127.6% | +100.5% | +49.7 pts | +22.6 pts | +32.5 pts | +5.4 pts |
| Since launch | +337.9% | +998.8% | +119.2 pts | +194.5 pts | −8.8 pts | −675.1 pts |
| AIQ Global X Artificial Intelligence & Technology ETF Holds 89 stocks in artificial intelligence, 56% of its weight in S&P 500 companies | PPA Invesco Aerospace & Defense ETF Holds 62 stocks in defense, 72% of its weight in S&P 500 companies | |
|---|---|---|
| Issuer | Global X | Invesco |
| Theme | Artificial intelligence | Defense |
| In the S&P 500 | 55.9% | 71.8% |
| Active share vs the S&P 500 | 69.7% | 96.4% |
| In the Nasdaq-100 | 47.5% | 4.9% |
| Holdings | 89 | 62 |
| Top ten, share of the fund | 32.2% | 53.7% |
| Expense ratio | 0.68% | 0.58% |
| Fee for the differing part | 0.98% | 0.60% |
| Total return, 1 year | +35.7% | +8.5% |
| vs the S&P 500 | +18.2 pts | −9.0 pts |
| vs the Nasdaq-100 | +12.7 pts | −14.4 pts |
| Below its high | −8.8% | −12.7% |
AIQ in plain words
By weight, 56% of AIQ's portfolio is stocks that are also in the S&P 500; its active share against the S&P 500 is 70%. The top ten holdings are 32% of the fund across 89 positions, as published by its issuer for Sep 11, 2026. Over the year to Sep 11, 2026 the fund returned +35.7% with distributions reinvested against +17.5% for the S&P 500, so a holder was ahead by 18.2 pts. It sits 8.8% below its all-time high of Jun 2, 2026.
PPA in plain words
By weight, 72% 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 54% of the fund across 62 positions, as published by its issuer for Sep 10, 2026. Over the year to Sep 11, 2026 the fund returned +8.5% with distributions reinvested against +17.5% for the S&P 500, so a holder was behind by 9.0 pts. It sits 12.7% below its all-time high of Mar 2, 2026.
Questions people ask
- Which is more different from the S&P 500, AIQ or PPA?
- AIQ has 56% of its weight in S&P 500 names and PPA has 72%, so PPA differs more from the index.
- Which is cheaper, AIQ or PPA?
- AIQ charges 0.68% 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.
Cite this page. ETFIQ, AIQ against PPA, data as of Sep 11, 2026. https://etfiq.com/compare/themes/aiq-vs-ppa Free to use with attribution; the underlying files are at Open data.