iShares Core High Dividend ETF vs Innodata Inc — how do they compare? iShares Core High Dividend ETF trades at $29.08, while Innodata Inc trades at $63.05 (market cap $2.03B). The key difference: iShares Core High Dividend ETF is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals.
| HDV | INOD | |
|---|---|---|
52-Week High | $29.14 | $121.50 |
52-Week Low | $23.64 | $34.45 |
Market Cap | — | $2.03B |
Sector | — | Technology |
Enterprise Value | — | $1.79B |
Signals from Pluang's Aura AI — not financial advice
HDV trades at $28.78, up 0.21% with a bullish technical signal. It yields approximately 3.1% from dividends, with recent payouts in June and July 2026. The ETF focuses on high-quality U.S. large-cap dividend stocks, outperforming the S&P 500 year-to-date by 9 percentage points. News highlights its appeal for retirement income and institutional buying, such as 180 Wealth Advisors increasing its stake by 386.2% in Q2 2026.
The outlook is positive due to strong dividend sustainability and defensive sector weighting, but risks include interest rate sensitivity and concentrated holdings. Analysts favor HDV for income-focused portfolios, citing its quality screening and lower volatility.
INOD trades at $62.33, down 4.81% over 24 hours, with a bearish technical signal from moving averages despite neutral oscillators. The company reported strong Q2 2026 earnings, beating estimates with EPS of $0.41 versus $0.21 expected, driven by 58% revenue growth and AI demand expansion. Valuation ratios remain elevated, with a P/E of 48.24 and P/S of 6.79, reflecting high growth expectations. Recent news highlights AI-driven growth and leadership transition plans.
Outlook is positive due to robust AI momentum and earnings beats, but risks include premium valuation and customer concentration. Analyst consensus is bullish with a $130 price target, suggesting significant upside from current levels. Investors should weigh growth potential against execution risks in a competitive AI services market.
Trailing returns across standard periods
The fund generally will invest at least 80% of its assets in the component securities of its underlying index and in investments that have economic characteristics that are substantially identical to the component securities of its underlying index. The underlying index is comprised of qualified income paying securities that are screened for superior company quality and financial health as determined by Morningstar, Inc.'s proprietary index methodology. The fund is non-diversified.
Read more on HDV →Innodata is a global data engineering company that provides solutions for training AI models. It helps enterprises solve complex data challenges through high-quality data annotation and digital transformation.
Read more on INOD →