iShares Core Growth Allocation ETF vs Innodata Inc — how do they compare? iShares Core Growth Allocation ETF trades at $68.48, while Innodata Inc trades at $68.14 (market cap $2.21B). The key difference: iShares Core Growth Allocation ETF is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals.
| AOR | INOD | |
|---|---|---|
52-Week High | $69.85 | $121.50 |
52-Week Low | $61.00 | $34.45 |
Market Cap | — | $2.21B |
Sector | — | Technology |
Enterprise Value | — | $2.10B |
Signals from Pluang's Aura AI — not financial advice
The iShares Core Growth Allocation ETF (AOR) trades at $69.10, up 0.25% on the day, with a bearish technical signal from moving averages and neutral oscillators. The fund maintains a fixed 60/40 stock/bond allocation, rebalanced semiannually, with a low 0.20% expense ratio. Recent news highlights its role as a core holding but notes underperformance versus the S&P 500 over a decade.
Outlook: AOR offers diversified, low-cost exposure but faces headwinds from equity-bond correlation shifts. Risks include interest rate sensitivity and competition from pure equity funds. Analyst sentiment is mixed, balancing simplicity against relative returns.
INOD trades at $67.80, down 1.99% amid bearish technical signals despite strong fundamental performance. The stock shows robust revenue growth with 2025 revenue of $251.66M and net income of $32.18M, supported by consistent earnings beats. Analyst consensus remains bullish with a $130 price target, though recent insider selling and technical weakness create near-term pressure.
Outlook remains positive given AI-driven growth potential and strong profitability metrics, but investors face volatility risks from high valuation multiples and competitive pressures in the AI data services space. The stock's current pullback presents a potential entry point for long-term investors believing in the AI growth story.
Trailing returns across standard periods
Latest headlines on both assets
The fund is a fund of funds and seeks its investment objective by investing primarily in underlying funds that themselves seek investment results corresponding to their own respective underlying indexes. It generally will invest at least 80% of its assets in the component securities of its underlying index. The index measures the performance of the S&P Dow Jones Indices LLC proprietary allocation model.
Read more on AOR →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 →