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ETF Comparison

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

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

Data updated August 21, 2026

Visual comparison

Key metrics

Projected income on $10K

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

Total returns

HBMX has outpaced KMEM over the year to date, posting a -11.11% total return against -17.65%. Figures are total returns: price change plus every distribution reinvested.

Total return and risk statistics by fund. Each row is one fund; each column is one period or statistic.
SymbolYTDSince Jul 2026
HBMX-11.11%-17.15%
KMEM-17.65%-17.65%

Total return with all distributions reinvested on the ex-dividend date, split-adjusted, as of August 21, 2026. YTD and 1Y are cumulative; longer windows are annualized. “Since Jul 2026” measures every fund from July 1, 2026 — the youngest fund's first trading day — so all funds share one comparison window.

Side-by-side snapshot

Side-by-side snapshot. Each row is one metric; each column is one fund.
MetricHBMXKMEM
Full nameTuttle Capital Concentrated Memory Stack ETFKurv Memory Select ETF
IssuerTuttle Capital ManagementKurv
Last Close$23.76 as of August 21, 2026$19.04 as of August 21, 2026
Distribution yield
Distribution Safety Score™
Expense ratio0.95%0.65%
AUM$27.7M$26.8M
Distribution frequencyAnnualNone
Underlying indexBasket (Memory Semiconductor Stocks)
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.Kurv Memory Select ETF seeks to provide targeted exposure to the companies dominating memory chip production.
Asset classEquityEquity
Inception date06/02/202606/30/2026

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

Bottom lineWe won't call this one: HBMX launched June 2026 and KMEM launched June 2026, so there is not yet a track record to compare. Compare the strategy, cost and holdings in the sections above and treat any performance figures for the newer ETF as provisional. What is already clear from the numbers above: the two do not cost the same — KMEM charges 0.65% against 0.95% for HBMX, and on funds tracking the same thing that gap compounds every year you hold.

Income calculator

See how much monthly income a hypothetical investment would generate in each ETF at current yields.

ETFs12
Total AUM$1.43B

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.

ETFs16
Total AUM$606M

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

Kurv is known for developing actively managed, single-stock and thematic covered call ETFs that generate income through options strategies. The issuer's lineup spans fixed income, growth and income, precious metals strategies, and thematic investing approaches, with a notable focus on single-stock income products tied to mega-cap technology and consumer companies. Kurv's breadth includes both traditional covered call strategies and more specialized offerings in metals and sector-specific themes, appealing to investors seeking equity income across various market segments.

See our curated list of related YouTube videos on KMEM.

Want to go deeper?

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Quick verdict

HBMX (Tuttle Capital Concentrated Memory Stack ETF) and KMEM (Kurv Memory Select ETF) are both ETFs, but they take different approaches.

KMEM is cheaper with an expense ratio of 0.65% compared to 0.95%.

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 KMEM has no reported distribution yield yet, so a monthly income estimate is not available, at current distribution rates.

HBMX yield
KMEM yield

Cost & efficiency

Over 10 years on $10,000, HBMX would cost approximately $950 in fees vs $650 for KMEM (simplified, not compounded). The $300.00 difference may be offset by yield or performance.

HBMX ER0.95%
KMEM ER0.65%

Strategy & risk

HBMX is an actively managed ETF built around a thematic strategy, while KMEM tracks Basket (Memory Semiconductor Stocks) with an artificial intelligence (ai) approach.

Fund details

HBMX is managed by Tuttle Capital Management (launched 06/02/2026) with $27.7M in assets. KMEM is managed by Kurv (launched 06/30/2026) with $26.8M in assets.

HBMX AUM$27.7M
KMEM AUM$26.8M

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Frequently asked questions

Which of HBMX or KMEM pays more dividend income?

KMEM 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 KMEM?

HBMX (Tuttle Capital Concentrated Memory Stack ETF) is an actively managed ETF built around a thematic strategy, while KMEM (Kurv Memory Select ETF) tracks Basket (Memory Semiconductor Stocks) with an artificial intelligence (ai) approach. They are issued by Tuttle Capital Management and Kurv respectively.

Can I hold both HBMX and KMEM?

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 KMEM?

HBMX has an expense ratio of 0.95% while KMEM charges 0.65%. Lower fees mean more of your investment returns stay in your pocket over time.

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

At current rates, HBMX has not established a distribution history yet, so a monthly income estimate is not available. KMEM has not established a distribution history yet, so a monthly income estimate is not available.

Which has performed better historically, HBMX or KMEM?

HBMX has outpaced KMEM over the year to date, posting a -11.11% total return against -17.65%. Figures are total returns: price change plus every distribution reinvested. Past performance does not guarantee future results.

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HBMX vs KMEM — at a glance

Generated August 15, 2026.

Figures quoted in this analysis are from its generation date and may lag the live snapshot table above, which always shows the latest data.

Overview

HBMX and KMEM are both thematic ETFs launched in mid-2026 that track the memory semiconductor ecosystem. HBMX is actively managed and targets the full supply chain—DRAM, NAND, HBM producers plus equipment and advanced packaging companies—while KMEM takes a simpler approach, focusing directly on memory chip manufacturers themselves. Both are nascent funds with similar AUM in the $26–28M range.

How they differ

The biggest difference is strategy: HBMX uses active management to cast a wider net across the memory value chain (chipmakers, equipment suppliers, testing and packaging firms), while KMEM appears to be a passive or rules-based basket limited to memory producers alone. HBMX's broader scope comes at a cost—its 0.95% expense ratio is 30 basis points higher than KMEM's 0.65%. Both funds are tiny and young (inception June 2026), so liquidity and track record are both essentially nonexistent; HBMX's $27.8M AUM and KMEM's $26.8M AUM suggest minimal trading depth.

Who each is best for

HBMX: Fits investors who believe the profits in AI infrastructure flow across the entire semiconductor supply chain—not just chip fabrication—and who trust active management to navigate rapidly shifting competitive dynamics in memory technology.

KMEM: Fits investors seeking straightforward, low-cost exposure to the memory chipmakers themselves and who prefer a transparent, static selection methodology over active decision-making.

Key risks to know

  • Strategy concentration. Both funds are narrowly focused on memory semiconductors, a sector whose demand is tethered to AI capex cycles and vulnerable to sudden shifts in data-center purchasing patterns. A pullback in AI infrastructure spending would pressure both holdings simultaneously.
  • Tiny fund size and illiquidity. With AUM below $30M each, both ETFs face potential closure or forced liquidation if assets don't grow. Trading spreads and depth are likely to be wide, making entry and exit expensive relative to fund size.
  • Active vs. passive fee tradeoff. HBMX's active management adds 30 basis points annually; if the manager underperforms a simple memory-chip basket over time, that fee drag compounds and erodes relative returns.
  • Supply chain concentration risk. If HBMX's equipment and packaging suppliers are correlated with chipmaker performance, the fund's broader scope may offer less diversification than it appears.

Bottom line

HBMX bets that semiconductor supply-chain optionality justifies active management and a higher fee; KMEM keeps it simple and cheaper. If you want exposure to the entire memory value chain and believe a manager can add value through selective positioning, HBMX's broader ecosystem approach may appeal. If you prefer minimal fees and direct exposure to memory production capacity, KMEM's lower cost structure and straightforward focus align better. Both are extremely new and illiquid—past performance is not available for either—so position sizing should reflect the risk of early-stage fund closure.

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

Learn the method

The metrics behind this comparison, explained in the Academy.

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