Innodata Inc vs Vanguard Global ex-US Real Estate Index Fd ETF — how do they compare? Innodata Inc trades at $62.85 (market cap $2.03B), while Vanguard Global ex-US Real Estate Index Fd ETF trades at $45.68. Which is the better fit depends on your goals.
| INOD | VNQI | |
|---|---|---|
Market Cap | $2.03B | — |
Sector | Technology | — |
52-Week High | $121.50 | $50.76 |
52-Week Low | $34.45 | $43.26 |
Enterprise Value | $1.91B | — |
Signals from Pluang's Aura AI — not financial advice
INOD trades at $62.08, up 2.09% today, showing strong momentum despite a bearish technical signal. The company demonstrates robust fundamentals with revenue growth from $252M in 2025 to $283M projected for 2026, and net income margins improving to 13.86%. Recent earnings beats and positive AI-driven news highlight growing demand for its engineering R&D services. Technical indicators show mixed signals with RSI suggesting oversold conditions but moving averages indicating bearish pressure.
Outlook remains positive with 60% analyst buy ratings and a $130 consensus price target representing 109% upside. Key opportunities include AI market expansion and customer diversification, while risks center on high valuation multiples (P/E 54.29) and customer concentration. The stock's recent 33% pullback may present a buying opportunity for growth-oriented investors.
VNQI (Vanguard Global ex-U.S. Real Estate ETF) trades at $45.5, down 0.48% today, with technical indicators showing a bullish trend but neutral oscillators. The ETF provides diversified international real estate exposure across 30+ countries with a low 0.12% expense ratio and a 4.6% dividend yield. Recent news highlights its role as a cost-effective diversifier compared to domestic REIT ETFs, though it has lagged in total returns over the past five years.
The outlook remains cautiously optimistic as global real estate transaction volumes are expected to rise over 10% in 2026 amid stabilizing rates. Key opportunities include international diversification and attractive yield, while risks involve currency fluctuations and slower international market recovery compared to U.S. real estate.
Trailing returns across standard periods
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 S&P Global ex-US Property Index, a float-adjusted, market-capitalization-weighted index that measures the equity market performance of international real estate stocks in both developed and emerging markets. The index is composed of stocks of publicly traded equity real estate investment trusts (known as REITs) and certain real estate management and development companies (REMDs).
Read more on VNQI →