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ETF Comparison

HBMX vs SOXX: Which Is the Better Pick in 2026?

A head-to-head comparison of Tuttle Capital Concentrated Memory Stack ETF and iShares Semiconductor ETF covering yield, cost, risk, and income potential.

Data updated July 21, 2026

ETFs12
Total AUM$1.44B

ETFs and AUM reflect what Dividend Vision tracks — the issuer's full lineup may be larger.

Tuttle Capital Management operates a focused lineup of 7 ETFs that emphasize thematic investing and income-focused strategies. The firm's offerings span specialized areas including cryptocurrency exposure (BITK), photography and imaging (FOTO), and sector-specific themes like healthcare (HALX) and technology (MSTK), alongside income-oriented products under their Income and Income Blast families. The issuer targets investors seeking unconventional thematic strategies rather than broad-based index exposure, with notable tickers like MAGO and SPCI rounding out their niche-oriented portfolio.

See our curated list of related YouTube videos on HBMX.

ETFs477
Total AUM$4543B

ETFs and AUM reflect what Dividend Vision tracks — the issuer's full lineup may be larger.

iShares is one of the largest ETF providers globally, known for offering a broad, diversified lineup of exchange-traded funds across multiple asset classes and investment strategies. The company operates 215 funds spanning 15 distinct families, including popular offerings in dividend income, covered call strategies, bonds, equities, ESG-focused investments, and factor-based approaches, with widely-held tickers like AGG (bond), ACWI (global equity), and AOA (allocation). iShares is characterized by its comprehensive fund ecosystem that serves both core portfolio holdings and specialized investment strategies, making it a prominent player for investors seeking both traditional and alternative income-generating ETF solutions.

See our curated list of related YouTube videos on SOXX.

Side-by-side snapshot

HBMXSOXX
Full nameTuttle Capital Concentrated Memory Stack ETFiShares Semiconductor ETF
IssuerTuttle Capital ManagementiShares
Last Close$23.42 as of July 21, 2026$524.14 as of July 21, 2026
Distribution yield0.22%
Distribution Safety Score™ 80
Expense ratio0.95%0.35%
AUM$30.2M$45.1B
Distribution frequencyAnnualQuarterly
Underlying indexICE Semiconductor Index
ObjectiveHBMX is an actively managed, concentrated ETF seeking long-term capital appreciation through focused exposure to the memory semiconductor ecosystem — DRAM, NAND, and high-bandwidth memory (HBM) producers plus the advanced packaging, testing, and equipment companies behind AI infrastructure.Tracks the ICE Semiconductor Index of US-listed semiconductor companies.
Asset classEquityEquity
Inception date06/02/202607/10/2001
Beta2.24
Last dividend$0.2830
Ex-dividend date06/15/2026

— Distribution yield, last dividend, and ex-dividend date are not yet available because HBMX launched June 2026; these fields will populate after the first distribution.

Bottom lineChoose HBMX if you want broad equity exposure. Choose SOXX if you want higher current income (0.22% while HBMX makes no distribution).

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Visual comparison

Key metrics

Projected income on $10K

Projections assume the current yield and share price remain constant. Actual results will vary.

Total returns

SymbolYTDSince Jun 2026
HBMX-12.38%-12.38%
SOXX67.27%-13.33%

Total return with all distributions reinvested on the ex-dividend date, split-adjusted, as of July 20, 2026. YTD and 1Y are cumulative; longer windows are annualized. “Since Jun 2026” measures every fund from June 2, 2026 — the youngest fund's first trading day — so all funds share one comparison window.

Quick verdict

HBMX (Tuttle Capital Concentrated Memory Stack ETF) and SOXX (iShares Semiconductor ETF) are both ETFs, but they take different approaches.

SOXX currently shows a 0.22% distribution yield. HBMX has not yet established a full distribution history, so a comparable yield figure is not available.

SOXX is cheaper with an expense ratio of 0.35% compared to 0.95%.

SOXX has $45.1B in assets vs $30.2M for HBMX, but HBMX only launched June 2026 — AUM comparisons will become more meaningful as it builds a track record.

Deep dive

Yield & income

On a $10,000 investment, HBMX has no reported distribution yield yet, so a monthly income estimate is not available, while SOXX would produce $1.83/month, at current distribution rates.

HBMX yield
SOXX yield0.22%

Cost & efficiency

Over 10 years on $10,000, HBMX would cost approximately $950 in fees vs $350 for SOXX (simplified, not compounded). The $600.00 difference may be offset by yield or performance.

HBMX ER0.95%
SOXX ER0.35%

Strategy & risk

HBMX is an ETF, while SOXX tracks ICE Semiconductor Index.

HBMX beta
SOXX beta2.24

Fund details

HBMX is managed by Tuttle Capital Management (launched 06/02/2026) with $30.2M in assets. SOXX is managed by iShares (launched 07/10/2001) with $45.1B in assets.

HBMX AUM$30.2M
SOXX AUM$45.1B

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Frequently asked questions

Which of HBMX or SOXX pays more dividend income?

SOXX currently reports a distribution yield, while HBMX has not yet established a full distribution history. A direct income comparison is not yet meaningful — check back once both funds have published several consecutive distributions.

What is the difference between HBMX and SOXX?

HBMX (Tuttle Capital Concentrated Memory Stack ETF) is an ETF, while SOXX (iShares Semiconductor ETF) tracks ICE Semiconductor Index. They are issued by Tuttle Capital Management and iShares respectively.

Can I hold both HBMX and SOXX?

Yes — nothing prevents holding both. Whether the combination actually diversifies depends on how much the underlying exposures overlap, which isn't fully measurable from the data on this page; review each security's holdings, sector, and strategy before treating them as complementary.

Which has lower fees, HBMX or SOXX?

HBMX has an expense ratio of 0.95% while SOXX charges 0.35%. Lower fees mean more of your investment returns stay in your pocket over time.

How much income does $10,000 in HBMX vs SOXX generate?

At current rates, HBMX has not established a distribution history yet, so a monthly income estimate is not available. The same in SOXX would produce about $1.83 per month ($22.00 annually).

More comparisons to explore

HBMX vs SOXX — at a glance

Generated July 2026 from current fund data.

Overview

HBMX and SOXX both target semiconductor exposure but diverge sharply in scope and approach. SOXX is a $36.9B passive index tracker covering the entire US semiconductor ecosystem with a 0.35% expense ratio, while HBMX is an actively managed concentrated fund launched in mid-2026 focused specifically on memory chips (DRAM, NAND, HBM) and the specialized equipment and packaging companies supporting AI infrastructure. The key distinction is breadth versus thematic concentration: SOXX captures the whole industry; HBMX bets heavily on a subset it believes will outperform.

How they differ

The most immediate difference is strategy and holdings. SOXX follows a rules-based index of US semiconductor companies across logic, memory, analog, and equipment. HBMX actively selects from the memory supply chain—fewer holdings, concentrated bets on companies tied to AI-driven memory demand. That structural choice shapes everything else.

Second, yield and distribution timing diverge. SOXX distributes 0.20% annually on a quarterly schedule; HBMX distributes annually with no yield disclosed. For income-focused investors, SOXX's regular quarterly payouts offer more predictable cash flow, while HBMX is built for growth.

Third, costs and scale differ. SOXX charges 0.35% and manages $36.9B, allowing passive-index economies of scale. HBMX's 0.95% fee reflects active management and smaller size (not disclosed). That 60-basis-point fee gap is material over decades, but HBMX's active manager argues concentrated bets in a high-growth niche can offset the drag. SOXX's beta of 2.26 suggests it amplifies broad semiconductor moves; HBMX doesn't report beta, leaving its volatility profile opaque relative to the market.

Who each is best for

HBMX: Fits investors with a high tolerance for concentrated single-theme risk who believe memory semiconductors and AI infrastructure will outpace the broader chip industry and are comfortable holding a newer fund (launched mid-2026) with unproven long-term track record.

SOXX: Fits investors seeking diversified semiconductor exposure without the research burden of active management, wanting quarterly distributions, and comfortable with the sector's high volatility (beta 2.26) in exchange for transparent, low-cost index tracking.

Key risks to know

  • Concentration and single-theme risk: HBMX's narrow focus on memory and AI packaging amplifies idiosyncratic risk. A slowdown in AI capex or memory oversupply affects its holdings disproportionately; SOXX's breadth across logic, analog, and equipment buffers against any one theme collapsing.
  • Active management track record: HBMX has no long-term performance history (inception mid-2026) against which to judge whether its concentrated bets and 0.95% fee justify outperformance relative to a cheaper alternative. SOXX's 23-year index history provides context for volatility and drawdowns.
  • Memory cycle and capex timing: Both funds benefit from sustained AI chip demand, but memory is cyclical. If demand plateaus or supply recovers faster than expected, memory producers and their suppliers face margin compression; SOXX's broader exposure provides some insulation.
  • High beta volatility (SOXX): At 2.26, SOXX amplifies broad market moves roughly 2.25x, making it sensitive to shifts in growth-stock sentiment and risk-off rotations.

Bottom line

If you're convinced memory and AI infrastructure packaging will outrun the wider chip industry and accept concentrated risk and higher fees for that thesis, HBMX's thematic focus offers a cleaner lever. If you prefer diversified semiconductor exposure, lower costs, and quarterly income with a 23-year track record, SOXX's index approach trades upside concentration for downside stability. Neither approach guarantees future returns; the memory cycle and tech market sentiment will ultimately drive outcomes for both.

AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.

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