Compare T Rowe Price Group Inc (TROW) vs VNET Group Inc (VNET) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
T Rowe Price Group Inc vs VNET Group Inc — how do they compare? T Rowe Price Group Inc trades at $116.99 (market cap $24.26B), while VNET Group Inc trades at $7.5 (market cap $2.14B). The key difference: T Rowe Price Group Inc is far larger — about 11.3× VNET Group Inc's market cap, and T Rowe Price Group Inc pays a 4.57% dividend while VNET Group Inc pays none. Which is the better fit depends on your goals.
| TROW | VNET | |
|---|---|---|
Market Cap | $24.26B | $2.14B |
Sector | Financials | Technology |
52-Week High | $121.68 | $14.03 |
52-Week Low | $86.19 | $6.29 |
Enterprise Value | $21.46B | $5.29B |
Dividend Yield | 4.57% | — |
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
About T Rowe Price Group Inc
T. Rowe Price provides asset-management services for individual and institutional investors. It offers a broad range of no-load U.S. and international stock, hybrid, bond, and money market funds. At the end of August 2022, the firm had $1.339 trillion in managed assets, composed of equity (54%), balanced (30%), fixed-income (13%), and alternatives (3%) offerings. Approximately two thirds of the company's managed assets are held in retirement-based accounts, which provides T. Rowe Price with a somewhat stickier client base than most of its peers. The firm also manages private accounts, provides retirement planning advice, and offers discount brokerage and trust services. The company is primarily a U.S.-based asset manager, deriving just under 10% of its AUM from overseas.
Read more on TROW →About VNET Group Inc
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 →
