Compare Fastly Inc (FSLY) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Fastly Inc vs Rigetti Computing Inc — how do they compare? Fastly Inc trades at $29.4 (market cap $4.03B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: Rigetti Computing Inc is the larger of the two by market cap, and Fastly Inc is trading nearer its 52-week high, Rigetti Computing Inc nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold Fastly Inc for 26 Days and Rigetti Computing Inc for 35 Days on average.
| FSLY | RGTI | |
|---|---|---|
Market Cap | $4.03B | $4.72B |
Volume | 5,516,495 | 17,136,381 |
Sector | Technology | Technology |
52-Week High | $33.50 | $56.34 |
52-Week Low | $7.86 | $12.90 |
Typical Hold Time | 26 Days | 35 Days |
Enterprise Value | $4.09B | $4.33B |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Fastly (FSLY) trades at $29.3, up 15.9% on the day, with a neutral technical signal and bullish moving averages. The company reported three consecutive quarterly EPS beats, with Q3 2026 expected at $0.1186. Revenue growth is strong, reaching $624M in 2025, but net losses persist, though margins are improving. Recent news highlights AI-driven demand and insider selling by the CTO, creating mixed sentiment.
The outlook is cautiously optimistic, with revenue projected to hit $687M in 2026 and a path to profitability. Risks include sustained losses, competitive pressure, and high valuation multiples. Analyst consensus is mixed, with a $28.25 price target slightly below current levels, suggesting limited near-term upside amid growth execution risks.
RGTI trades at $14.03, down 3.84% with bearish technical signals despite bullish oscillators. The company shows minimal revenue of $7.09M (2025) with significant losses (-$216.21M net income) and negative margins. Analyst consensus remains strong with 85.71% buy ratings and $21.67 price target, while recent news highlights quantum computing sector momentum and Rigetti's hybrid quantum-HPC partnerships.
RGTI presents high-risk speculative potential with Wall Street optimism contrasting weak fundamentals. The stock offers substantial upside to analyst targets but faces execution risks in commercializing quantum technology amid persistent cash burn and competitive pressures from better-funded peers.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Fastly Inc
Fastly operates a content delivery network, which is necessary for entities to provide faster and more reliable online content. Fastly's strategy differs from traditional CDNs, which focused on locating servers in as many locations as possible to store copies of files that consumers most use. Fastly has far fewer sites than traditional CDNs, but it houses servers in the most network-dense data centers. Instead of simply storing static content, it allows its customers to program on its platform, enabling edge computing and better service of the more dynamic content that was traditionally not well served by CDNs. Fastly gears its service to the largest, most sophisticated enterprises rather than small companies and generated about two thirds of its revenue in the United States in 2020.
Read more on FSLY →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 →
