Compare Akamai Technologies, Inc. (AKAM) vs Vanguard Global ex-US Real Estate Index Fd ETF (VNQI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Akamai Technologies, Inc. vs Vanguard Global ex-US Real Estate Index Fd ETF — how do they compare? Akamai Technologies, Inc. trades at $123.25 (market cap $16.77B), while Vanguard Global ex-US Real Estate Index Fd ETF trades at $45.51. The key difference: Akamai Technologies, Inc. is trading nearer its 52-week high, Vanguard Global ex-US Real Estate Index Fd ETF nearer its low. Which is the better fit depends on your goals.
| AKAM | VNQI | |
|---|---|---|
Market Cap | $16.77B | — |
Sector | Technology | — |
52-Week High | $161.14 | $50.76 |
52-Week Low | $71.97 | $43.26 |
Enterprise Value | $22.75B | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Akamai Technologies (AKAM) trades at $122.67, up 4.27% with strong earnings momentum after beating Q2 2026 estimates. The stock shows bearish technical signals but maintains solid fundamentals with $4.21B revenue and 57.45% gross margins. Recent analyst upgrades and a $600M cloud contract highlight growth potential in AI and cybersecurity services.
Outlook remains cautiously optimistic with a $150.11 consensus price target offering 22% upside, though margin compression and competitive pressures present risks. Institutional sentiment leans neutral with 49% hold ratings, requiring monitoring of Q3 earnings execution and infrastructure investment returns.
VNQI (Vanguard Global ex-U.S. Real Estate ETF) trades at $45.77, up 0.46% with a bullish technical signal from moving averages. The ETF provides diversified international real estate exposure across 30+ countries outside the U.S., featuring a low expense ratio and higher dividend yield compared to domestic REIT ETFs. Recent news highlights ongoing comparisons with competing real estate funds, with VNQI's international diversification being a key differentiator.
The outlook for VNQI remains positive given its global real estate diversification benefits and income-oriented profile. Key opportunities include exposure to growing international property markets and attractive dividend yield, while risks involve currency fluctuations, geopolitical uncertainties, and potential underperformance relative to U.S. real estate markets. The ETF's low-cost structure supports long-term total return potential for investors seeking international real estate exposure.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Akamai Technologies, Inc.
Akamai operates a content delivery network, or CDN, which entails locating servers at the edges of networks so its customers, which store content on Akamai servers, can reach their own customers faster, more securely, and with better quality. Akamai has over 325,000 servers distributed over 4,000 points of presence in more than 1,000 cities worldwide. Its customers generally include media companies, which stream video content or make video games available for download, and other enterprises that run interactive or high-traffic websites, such as e-commerce firms and financial institutions. Akamai also has a significant security business, which is integrated with its core web and media businesses to protect its customers from cyberthreats.
Read more on AKAM →About Vanguard Global ex-US Real Estate Index Fd ETF
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 →
