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ETF Comparison

ARKG vs HLTH: Which Is the Better Pick in 2026?

A head-to-head comparison of ARK Genomic Revolution ETF and Tema Healthcare AI ETF covering yield, cost, risk, and income potential.

Data updated September 18, 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

100% reinvested · ex-date convention. Period returns use this fixed assumption, independent of chart settings.

ARKG has outpaced HLTH over the shared window since Jul 2026, posting a 30.54% total return against 15.77%. 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.
SymbolSince Jul 2026
ARKG30.54%
HLTH15.77%

Total return with all distributions reinvested on the ex-dividend date (a modeling convention, not the cash-settlement date), split-adjusted, as of September 18, 2026. YTD and 1Y are cumulative; windows of one year or longer are annualized. “Since Jul 2026” measures every fund from July 21, 2026 — the start of shared available history — 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.
MetricARKGHLTH
Full nameARK Genomic Revolution ETFTema Healthcare AI ETF
IssuerARK InvestTema ETFs
Last Close$51.64 as of September 18, 2026$29.30 as of September 18, 2026
Distribution rate
Distribution Safety Score™
Expense ratio0.75%0.75%
AUM$1.93B$8.67M
Distribution frequencyNoneNone
Underlying index
ObjectiveActively managed ETF focused on companies in genomics, gene editing, CRISPR, and molecular diagnostics.Seeks long-term capital appreciation through an actively managed portfolio of companies applying artificial intelligence across healthcare — including AI-driven drug discovery, diagnostics, medical imaging, medical devices, and healthcare IT platforms.
Asset classEquityEquity
Inception date10/31/201407/21/2026
Beta2.37
Ex-dividend date12/29/2021

— Distribution rate, Safety-Adjusted Yield, last dividend, and ex-dividend date are not yet available because HLTH launched July 2026; these fields will populate after the first distribution.

Bottom lineWe won't call this one: HLTH launched July 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.

Income calculator

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

ETFs14
Total AUM$16.2B

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

ARK Invest is known for actively managed ETFs focused on disruptive innovation and emerging technologies across digital assets and innovation themes. The firm operates a lineup of 7 funds targeting growth-oriented investors, including popular tickers like ARKK (flagship innovation fund), ARKG (genomics), ARKW (web innovation), and ARKF (fintech), among others. ARK's funds are characterized by concentrated portfolios of high-conviction stock picks and a research-driven approach to identifying companies positioned to benefit from technological transformation.

See our curated list of related YouTube videos on ARKG.

ETFs13
Total AUM$3.80B

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

Tema ETFs is known for offering thematically focused and income-oriented strategies that target specific industries and trends rather than broad market exposure. The issuer's lineup spans both income-generating funds and thematic investments centered on sectors such as defense, healthcare, technology, and infrastructure, with tickers including ARMY, CANC, DSPY, HLTH, LAZR, NASA, and VOLT. Tema's approach appeals to investors seeking targeted exposure to niche market segments, combining specialized industry focus with dividend and yield strategies.

See our curated list of related YouTube videos on HLTH.

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Quick verdict

ARKG (ARK Genomic Revolution ETF) and HLTH (Tema Healthcare AI ETF) are both ETFs, but they take different approaches.

ARKG has $1.93B in assets vs $8.67M for HLTH, but HLTH only launched July 2026 — AUM comparisons will become more meaningful as it builds a track record.

Deep dive

Yield & income

On a $10,000 investment, ARKG has no reported distribution yield yet, so a monthly income estimate is not available, while HLTH has no reported distribution yield yet, so a monthly income estimate is not available, at current distribution rates.

ARKG yield
HLTH yield

Cost & efficiency

Over 10 years on $10,000, ARKG would cost approximately $750 in fees vs $750 for HLTH (simplified, not compounded). Both charge the same expense ratio.

ARKG ER0.75%
HLTH ER0.75%

Strategy & risk

ARKG is an actively managed ETF, while HLTH is an actively managed ETF built around healthcare exposure.

ARKG beta2.37
HLTH beta

Fund details

ARKG is managed by ARK Invest (launched 10/31/2014) with $1.93B in assets. HLTH is managed by Tema ETFs (launched 07/21/2026) with $8.67M in assets.

ARKG AUM$1.93B
HLTH AUM$8.67M

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Frequently asked questions

Which of ARKG or HLTH pays more dividend income?

HLTH currently reports a distribution yield, while ARKG 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 ARKG and HLTH?

ARKG (ARK Genomic Revolution ETF) is an actively managed ETF, while HLTH (Tema Healthcare AI ETF) is an actively managed ETF built around healthcare exposure. They are issued by ARK Invest and Tema ETFs respectively.

Can I hold both ARKG and HLTH?

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, ARKG or HLTH?

ARKG and HLTH both charge the same expense ratio of 0.75%, so neither is cheaper on fees — pick based on yield, strategy, or underlying index instead.

How much income does $10,000 in ARKG vs HLTH generate?

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

Which has performed better historically, ARKG or HLTH?

ARKG has outpaced HLTH over the shared window since Jul 2026, posting a 30.54% total return against 15.77%. Figures are total returns: price change plus every distribution reinvested. Past performance does not guarantee future results.

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ARKG vs HLTH — at a glance

Generated September 19, 2026.

Overview

ARKG and HLTH are both actively managed healthcare-focused equity ETFs, but they target distinct innovation themes. ARKG concentrates on genomics, gene editing, CRISPR, and molecular diagnostics — companies working on the biological foundations of disease. HLTH, launched much more recently, focuses on artificial intelligence applications across healthcare, including drug discovery, diagnostics, medical imaging, and IT platforms. Both charge 0.75%, but differ sharply in scale, track record, and underlying thesis.

How they differ

The first and most significant difference is maturity and assets under management. ARKG has been operating since 10/31/2014 and manages $1.93B, while HLTH launched on 07/21/2026 with just $8.67M — a roughly 220-fold difference in deployed capital.

Second, their innovation exposures point in different directions. ARKG's genomics and CRISPR focus is on molecular biology and precision medicine — relatively established innovation themes with visible clinical pipelines. HLTH's AI-healthcare bet is broader but earlier-stage, spanning nascent applications across drug discovery, imaging analysis, and healthcare software. These may overlap in holdings but target fundamentally different technology adoption curves.

Third, volatility profiles differ measurably. ARKG reports a beta of 2.37, indicating roughly 2.4 times the volatility of the broad market — typical for genomics and gene-therapy exposure, where clinical trial results and regulatory approval swings drive large price moves. Both charge identical fees at 0.75%, so cost is not a differentiator.

Who each is best for

ARKG: Fits investors with a long time horizon who want exposure to genomic innovation and can tolerate elevated equity volatility. The track record spanning a decade provides evidence of how the strategy has performed across multiple market environments.

HLTH: Fits investors with conviction in AI applications transforming healthcare delivery and diagnostics, and who can accept the risk profile of a newly launched fund with no operational history. Early entry into a nascent theme appeals to investors comfortable with unproven execution.

Key risks to know

  • Concentrated thematic exposure: Both funds bet heavily on specific healthcare innovation narratives (genomics vs. AI) rather than broad sector diversification. If either theme disappoints clinically, regulatorily, or commercially, concentrated losses can follow.
  • High volatility in genomics and early-stage healthcare: ARKG's beta of 2.37 means it amplifies market downturns and sector corrections. An AI-focused healthcare portfolio would likely exhibit similar or greater volatility given the nascency of the applications.
  • Unproven strategy with no live performance history: HLTH has operated for less than a month. Its manager's ability to identify and weight high-conviction AI-healthcare positions, rebalance through market stress, and avoid value-destructive trades is entirely untested. Smaller funds face higher operational friction and may struggle to sustain investor interest if early performance disappoints.

Bottom line

If you want established genomic-medicine exposure with a decade of track record, ARKG offers scale and history at the cost of significant volatility. Past performance does not predict future results.

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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