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RGTI Stock Jumps As Benchmark Hikes Price Target And NSF Deal Lands

JACK KELLOGG•UPDATED AUG. 3, 2026, 12:33 PM ET
Reviewed by Tim Sykesand Fact-checked by Ellis Hobbs

Rigetti Computing Inc. stocks have been trading up by 8.39 percent on strong investor optimism around its latest quantum advancements.

Key Takeaways

  • Benchmark initiated coverage on Rigetti Computing with a Buy rating and a $25 price target, signaling bullish expectations on future performance.
  • Wall Street’s coverage of the broader quantum group, including Rigetti Computing, frames the space as a serious, emerging tech basket for traders.
  • A new NSF‑funded TangleLab partnership with HPE and Pittsburgh Supercomputing Center will integrate Rigetti’s 9‑qubit Novera system into a supercomputing testbed starting 2027.
  • Shares recently spiked about 12.5% to roughly $15.92, showing how headline‑driven RGTI trading still is.
  • The company leans on government work, including a letter of intent for up to $100M in CHIPS Act funding over three years.

Candlestick Chart

Live Update At 12:32:35 EDT: On Monday, August 03, 2026 Rigetti Computing Inc. stock [NASDAQ: RGTI] is trending up by 8.39%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

RGTI has been a rollercoaster on the daily chart. Over the last few weeks, Rigetti Computing has swung between roughly $13.13 and $17.31, closing at 16.2062 on 2026/08/03 after a strong intraday grind higher. That close puts the stock back near the upper band of its recent range, with a series of higher lows since mid‑July hinting at a short‑term uptrend.

Intraday, the 5‑minute tape shows steady accumulation. RGTI opened near $14.93 and stair‑stepped its way into the mid‑$16s, with dips toward $15.50 getting bought and very little panic selling. That is typical momentum behavior when traders are leaning long on fresh news.

More Breaking News

Fundamentally, Rigetti Computing is still early‑stage. The company posted just $4.4M in quarterly revenue but carries an enterprise value around $4.56B, implying a sky‑high price‑to‑sales near 519. Profitability ratios are deep in the red, and cash flow from operations sat at about -$16.2M for the quarter. The balance sheet, however, looks liquid, with a current ratio near 7 and over $418M in cash and short‑term investments. For traders, RGTI is a classic high‑burn, high‑optionality story: rich valuation, big losses, but a long runway and strong catalysts.

Why Traders Are Watching RGTI Now

The latest spark for RGTI came from Wall Street. Benchmark initiated coverage on Rigetti Computing with a Buy rating and a $25 price target, a big gap from the mid‑teens where the stock just traded. For momentum traders, that kind of upside target acts like gasoline. It pulls in funds that screen for fresh analyst coverage and aggressive price targets, increasing volume and pushing volatility higher.

This is not happening in a vacuum. Benchmark also reinstated coverage on the broader quantum computing group, tagging IonQ, D‑Wave Quantum, and Rigetti Computing with Buy ratings and upbeat targets. That tells traders this is turning into a sector story, not just a one‑off spike. When a whole theme lights up, money often flows into the entire basket, and RGTI becomes one of the purest quantum hardware plays in that group.

On the fundamental side, Rigetti Computing just landed a headline partnership: the NSF‑funded TangleLab testbed with Hewlett Packard Enterprise and the Pittsburgh Supercomputing Center. RGTI’s 9‑qubit Novera system will be integrated into a hybrid supercomputing environment, with construction starting 2026/09/01 and operations expected as early as next year in the latest account. Earlier commentary pointed to 2027 operations, underscoring that this is a long‑timeline infrastructure build.

The market has noticed. Reports tie about a 12% jump in RGTI to this TangleLab news, showing the stock reacts violently to contract and partnership headlines. Add in the company’s positioning as a superconducting quantum computing pure play, plus a letter of intent for up to $100M in CHIPS Act support over three years, and you have a powerful narrative: government‑backed funding, real research partners, and a Wall Street stamp of approval. For active traders, that combination is exactly what drives hot money into a ticker like RGTI.

Conclusion

RGTI sits at the intersection of hype and hard science. On one side, Rigetti Computing’s financials are classic early‑stage: modest $4.4M quarterly revenue, heavy operating losses, and very stretched valuation metrics. On the other side, the company has serious backing — an NSF‑funded TangleLab role, deep ties to government contracts, and a letter of intent pointing to as much as $100M in CHIPS Act funding over three years.

Benchmark’s Buy rating and $25 price target validate the bull narrative around RGTI and the broader quantum computing basket. At the same time, the recent 12%–plus price spike to the mid‑$15s shows how crowded and emotional RGTI trading can get around each new headline. Rigetti Computing is also being framed as a key player in post‑quantum security themes, with its hardware and cloud services seen as accelerating the timeline for breaking classical encryption. That kind of storyline attracts thematic and momentum traders alike.

For traders studying this name, the playbook is clear: treat RGTI as a volatile catalyst stock, not a quiet compounder. Track analyst moves, government funding headlines, and technical inflection points. As Tim Sykes likes to remind traders, “The key is preparation — when a hot sector stock spikes, you don’t chase blindly, you trade the plan you already mapped out.” As millionaire penny stock trader and teacher Tim Sykes says, “Cut losses quickly, let profits ride, and don’t overtrade.” Applied to RGTI, that means focusing on disciplined risk management and sticking to a predefined trading plan rather than reacting emotionally to sharp moves. This article is for educational and research purposes only and is not investment advice.

This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Our content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to us for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize our news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities.

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The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

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These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

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Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”