Bandwidth Inc vs VNET Group Inc — how do they compare? Bandwidth Inc trades at $71.02 (market cap $2.36B), while VNET Group Inc trades at $7.87 (market cap $2.21B). The key difference: Bandwidth Inc and VNET Group Inc are close in size by market cap, and Bandwidth Inc is trading nearer its 52-week high, VNET Group Inc nearer its low. Which is the better fit depends on your goals.
| BAND | VNET | |
|---|---|---|
Market Cap | $2.36B | $2.21B |
Sector | Technology | Technology |
52-Week High | $78.44 | $14.03 |
52-Week Low | $12.82 | $7.34 |
Enterprise Value | $2.74B | $5.34B |
Signals from Pluang's Aura AI — not financial advice
Bandwidth (BAND) trades at $73.81, down 2.21% today, with strong technical momentum indicated by bullish moving averages. The company reported Q1 2026 EPS of $0.38, beating expectations of $0.32, while revenue reached $753.82 million in 2025. Analyst sentiment is positive with 12 buy ratings and a consensus price target of $71.67. Recent news highlights AI-driven growth in cloud communications and a $275 million convertible notes offering to fuel expansion.
The outlook for BAND is cautiously optimistic, driven by AI infrastructure demand and cloud communications growth. Key risks include negative profit margins and high valuation multiples. Investment opportunity lies in execution of AI initiatives, but investors should monitor earnings sustainability and competitive pressures in the technology sector.
No Aura AI signal available yet.
Trailing returns across standard periods
Bandwidth is a global communications software company. Its CPaaS platform allows enterprises to embed voice, messaging, and 911 emergency services directly into their software applications via robust APIs.
Read more on BAND →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 →