Google Inc vs VNET Group Inc — how do they compare? Google Inc trades at $345.56 (market cap $4.36T), while VNET Group Inc trades at $7.5 (market cap $2.13B). The key difference: Google Inc is far larger — about 2046.9× VNET Group Inc's market cap, and Google Inc pays a 0.25% dividend while VNET Group Inc pays none. Which is the better fit depends on your goals.
| GOOG | VNET | |
|---|---|---|
Market Cap | $4.36T | $2.13B |
Volume | 1,511,127 | — |
Sector | Technology | Technology |
52-Week High | $399.06 | $14.03 |
52-Week Low | $200.19 | $6.29 |
Enterprise Value | $4.25T | $5.28B |
Dividend Yield | 0.25% | — |
Signals from Pluang's Aura AI — not financial advice
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VNET trades at $7.33, up 4.56% in the last 24 hours, but technical indicators signal a bearish trend with RSI near overbought levels. The company reported a net loss of $256.77 million in 2025, with negative profit margins and ROE, though revenue grew to $9.95 billion. Recent news highlights strategic investor entry and AI-driven demand boosting wholesale data center growth, with Q2 2026 earnings due August 18, 2026.
The outlook remains mixed: analyst consensus is 62.5% buy with a 54% upside target, but persistent losses and high debt-to-asset ratio pose risks. Investment opportunity hinges on execution of capacity expansions and AI demand, while volatility from options trading and legal settlements adds uncertainty.
Trailing returns across standard periods
Latest headlines on both assets
Alphabet Inc. operates as a holding company. The Company, through its subsidiaries, provides web-based search, advertisements, maps, software applications, mobile operating systems, consumer content, enterprise solutions, commerce, and hardware products.
Read more on GOOG →VNET Group, formerly 21Vianet, is a leading carrier-neutral data center services provider in China. It operates a dual-core strategy: a large-scale retail business serving over 7,000 enterprise customers and an aggressive wholesale segment (Hyperscale 2.0) designed to meet the high-density power and cooling demands of large-scale AI and cloud platforms.
Read more on VNET →