Compare Forgent Power Solutions Inc. Class A Common Stock (FPS) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Forgent Power Solutions Inc. Class A Common Stock vs Rigetti Computing Inc — how do they compare? Forgent Power Solutions Inc. Class A Common Stock trades at $31.43 (market cap $8.98B), while Rigetti Computing Inc trades at $11.34 (market cap $3.90B). The key difference: Forgent Power Solutions Inc. Class A Common Stock is far larger — about 2.3× Rigetti Computing Inc's market cap, and Forgent Power Solutions Inc. Class A Common Stock 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 Forgent Power Solutions Inc. Class A Common Stock for 0 Days and Rigetti Computing Inc for 36 Days on average.
| FPS | RGTI | |
|---|---|---|
Market Cap | $8.98B | $3.90B |
Volume | 7,398,217 | 25,246,719 |
Sector | Industrials | Technology |
52-Week High | $64.59 | $56.34 |
52-Week Low | $27.97 | $11.68 |
Typical Hold Time | 0 Days | 36 Days |
Enterprise Value | $9.58B | $3.51B |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Forgent Power Solutions (FPS) trades at $36.17, down 2.48% on the day, following a strong earnings-driven rally. The stock shows neutral technical signals with support at $35 and resistance at $37. Recent Q2 2026 earnings beat expectations with EPS of $0.25 versus $0.24 expected, continuing a pattern of quarterly outperformance. The company reported record $3 billion backlog and strong data center demand driving growth.
FPS presents significant upside potential with analyst consensus target of $55.20 (52.9% upside) and 85.7% buy ratings. However, high valuation multiples (P/E 120.57, P/S 6.21) and negative 2025 net income of -$6.17M create valuation concerns. Key risks include execution on $3B backlog and potential overvaluation amid AI infrastructure hype.
RGTI trades at $12.78, down 3.55% today, with bearish technical signals but strong analyst support. The company shows negative profitability with a -1,787.4% net income margin despite recent earnings beats. Revenue growth from $7M to $13M (2025-2026) is overshadowed by escalating losses. Cash flow remains negative, though financing activities provide liquidity. Recent quantum computing sector news highlights competitive positioning and technological advancements.
Outlook remains speculative with high execution risk; Wall Street consensus is bullish (85.7% buy ratings) with a $21.67 price target implying 70% upside. Key risks include sustained losses, intense competition, and reliance on future quantum technology adoption. The stock offers high-risk growth potential for investors comfortable with speculative emerging technology plays.
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 Forgent Power Solutions Inc. Class A Common Stock
Forgent Power Solutions designs and manufactures electrical distribution equipment, including transformers, switchgear, transfer switches, and prefabricated power systems, for data centers, the power grid, and industrial facilities, manufacturing across multiple product categories in-house through a network of manufacturing campuses in US.
Read more on FPS →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 →
