Compare Digital Realty Trust, Inc. (DLR) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Digital Realty Trust, Inc. vs Rigetti Computing Inc — how do they compare? Digital Realty Trust, Inc. trades at $176.25 (market cap $64.05B), while Rigetti Computing Inc trades at $15.29 (market cap $5.35B). The key difference: Digital Realty Trust, Inc. is far larger — about 12× Rigetti Computing Inc's market cap, and Digital Realty Trust, Inc. pays a 2.82% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals.
| DLR | RGTI | |
|---|---|---|
Market Cap | $64.05B | $5.35B |
Sector | Real Estate | Technology |
52-Week High | $203.91 | $56.34 |
52-Week Low | $147.93 | $12.72 |
Enterprise Value | $81.57B | $4.94B |
Dividend Yield | 2.82% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Digital Realty Trust (DLR) trades at $177.92, down 1.38% on the day, with a bearish technical signal and mixed earnings history. The company shows strong fundamentals with 2025 revenue of $6.11B and net income of $1.31B, though its P/E ratio of 47.19 suggests premium valuation. Recent news highlights DLR's $7.8B acquisition of Blackstone's data center stake, positioning it for AI-driven growth.
DLR presents a growth opportunity in data center infrastructure supported by AI demand, with a consensus price target of $219.50 implying 23% upside. Risks include high debt levels, execution of recent acquisitions, and interest rate sensitivity. Analyst sentiment remains bullish with 59.57% buy ratings, but investors should weigh valuation concerns against long-term expansion potential.
Rigetti Computing (RGTI) trades at $15.36, down 7.13% in the last 24 hours, with a bearish technical signal but bullish oscillators. The company reported a net loss of $216.21 million in 2025, with a negative net income margin of -2,253.59%, while revenue grew to $7.09 million. Recent news highlights quantum computing interest following Quantinuum's IPO and Rigetti's infrastructure developments, including the Fab-1 facility and a 108-qubit contract.
Despite significant losses and cash burn, analyst consensus is strongly bullish with an 85.71% buy rating and a $32.67 price target, suggesting over 112% upside. Key risks include high cash burn rates, intense competition, and the long timeline to quantum advantage, requiring careful risk assessment for speculative investors.
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 Digital Realty Trust, Inc.
Digital Realty owns and operates nearly 300 data centers worldwide. It has more than 35 million rentable square feet across five continents. Digital's offerings range from retail co-location, where an enterprise may rent a single cabinet and rely on Digital to provide all the accommodations, to cold shells, where hyperscale cloud service providers can simply rent much, or all, of a barren, power-connected building. In recent years, Digital Realty has de-emphasized cold shells and now primarily provides higher-level service to tenants, which outsource their related IT needs to Digital. Digital Realty has also moved more into the co-location business, increasingly serving enterprises and facilitating network connections. Digital Realty operates as a real estate investment trust.
Read more on DLR →About Rigetti Computing Inc
Rigetti Computing, Inc. is a pioneer in quantum computing, focusing on developing and deploying quantum-classical computing systems. The company designs and fabricates superconducting quantum processors and integrates them with a full-stack software and control platform. Rigetti offers access to its quantum computers through the cloud, aiming to solve complex computational problems that are intractable for classical computers, with applications in finance, chemistry, and machine learning.
Read more on RGTI →
