Innodata Inc vs Vanguard Value Index Fund ETF — how do they compare? Innodata Inc trades at $62.33 (market cap $2.05B), while Vanguard Value Index Fund ETF trades at $226.28. The key difference: Vanguard Value Index Fund ETF is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals.
| INOD | VTV | |
|---|---|---|
Market Cap | $2.05B | — |
Sector | Technology | — |
52-Week High | $121.50 | $225.35 |
52-Week Low | $34.45 | $179.43 |
Enterprise Value | $1.80B | — |
Signals from Pluang's Aura AI — not financial advice
INOD trades at $61.40, down 1.33% today, but maintains a bullish technical signal with oscillators supporting upside momentum. The company reported strong Q2 2026 results, beating EPS estimates with $0.41 versus $0.21 expected, driven by 58% revenue growth and AI-driven demand expansion. Valuation ratios remain elevated with a P/E of 48.62, reflecting high growth expectations.
Outlook is positive given consistent earnings beats and AI sector tailwinds, but risks include premium valuation sensitivity and customer concentration. Analyst consensus is bullish with a $130 price target, suggesting significant upside potential if execution continues.
Vanguard Value ETF (VTV) trades at $226.09, up 0.48% with bullish technical signals from moving averages. The ETF focuses on large-cap value stocks and has gained attention for outperforming growth counterparts in 2026, with one Vanguard deep-value fund reportedly up 22% year-to-date according to 247 Wallst on August 10, 2026. Recent institutional activity shows mixed positioning with some firms reducing stakes while others increased holdings.
The outlook remains positive as value strategies gain traction amid tech sector volatility. Key risks include concentration in value stocks and market rotation patterns. Institutional interest persists despite some profit-taking, suggesting continued confidence in the value premium.
Trailing returns across standard periods
Latest headlines on both assets
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 →The fund employs an indexing investment approach designed to track the performance of the CRSP US Large Cap Value Index, a broadly diversified index predominantly made up of value stocks of large US companies. The advisor attempts to replicate the target index by investing all, or substantially all, of its assets in the stocks that make up the index, holding each stock in approximately the same proportion as its weighting in the index.
Read more on VTV →