Compare Old Dominion Freight Line Inc (ODFL) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Old Dominion Freight Line Inc vs Rigetti Computing Inc — how do they compare? Old Dominion Freight Line Inc trades at $181.41 (market cap $37.68B), while Rigetti Computing Inc trades at $13.98 (market cap $4.72B). The key difference: Old Dominion Freight Line Inc is far larger — about 8× Rigetti Computing Inc's market cap, and Old Dominion Freight Line Inc pays a 0.64% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Old Dominion Freight Line Inc for 76 Days and Rigetti Computing Inc for 35 Days on average.
| ODFL | RGTI | |
|---|---|---|
Market Cap | $37.68B | $4.72B |
Volume | 1,550,104 | 17,136,381 |
Sector | Industrials | Technology |
52-Week High | $248.73 | $56.34 |
52-Week Low | $126.29 | $12.90 |
Typical Hold Time | 76 Days | 35 Days |
Enterprise Value | $37.42B | $4.33B |
Dividend Yield | 0.64% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
ODFL trades at $181.39, up 3.29% today, with a bearish technical signal despite recent earnings beats. The company maintains strong profitability with a 19.44% net income margin and 24.82% ROE, though revenue has trended down from $6.3B in 2022 to $5.5B in 2025. A recent 4.9% general rate increase effective October 5, 2026, aims to support margins amid cost pressures.
Valuation remains elevated with a P/E of 34.95, posing a risk if growth slows. Analyst consensus is mixed with a $230.93 price target implying 27% upside, but competitive and macroeconomic headwinds in the trucking industry require careful monitoring for sustained shareholder value.
RGTI trades at $14.04, down 3.77% today, with a bearish technical signal despite bullish oscillators. The company shows minimal revenue of $7.09M in 2025 with a massive net loss of -$216.21M, resulting in negative profit margins. Analyst consensus is strongly bullish with 6 buy ratings and a $21.67 price target, representing 54% upside. Recent news highlights quantum computing sector momentum and Rigetti's hybrid quantum-HPC strategy with partners like HPE.
While analyst optimism and quantum computing potential offer significant upside, RGTI faces substantial execution risks with negative cash flow, high valuation multiples, and intense competition. The stock presents high-risk/high-reward potential for investors willing to tolerate volatility in exchange for quantum computing exposure, but requires careful monitoring of commercialization progress and path to profitability.
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 Old Dominion Freight Line Inc
Old Dominion Freight Line is the fourth-largest less-than-truckload carrier in the United States, with more than 240 service centers and 9,200-plus tractors. OD is by far one of the most disciplined and efficient providers in the trucking industry, and its profitability and capital returns stand head and shoulders above its peers. Strategic initiatives revolve around increasing network density through market share gains and maintaining industry-leading service via consistent infrastructure investment.
Read more on ODFL →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 →
