ChargePoint Hldgs에 대한 매도 수량은 투자자에게 ChargePoint Hldgs의 주식 하락에 베팅하는 정도를 알려줍니다. 매도 수량 데이터는 2주마다 업데이트됩니다.

ChargePoint Hldgs (NYSE:CHPT) 주식, 공매도 수량 보고

CHARGEPOINT HOLDINGS INC

ChargePoint Hldgs

ChargePoint Holdings Inc designs, develops, and markets networked electric vehicle charging system infrastructure and cloud-based services that enable consumers to locate, reserve, and authenticate EV charging. The company's hardware product lineup includes solutions across home, commercial, and fast-charging applications. ChargePoint derives the majority of its revenue from the United States.

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벤징가는 지난 한 주 동안 많은 투자자가 선호하는 주식의 전망을 조사했다. 주요 기사 중 일부는 다음과 같다.
미국 무역 관세에 대한 불확실성으로 인해 시장 변동성이 급등했다. 트럼프 대통령이 25% 수입 관세에 대한 입장을 바꾸면서 투자자들을 불안하게 만들었고, 미국 달러는 급락하여 2022년 11월 이후 최악의 주간 하락폭을 기록했다.

벤징가 불스 앤 베어스: 브로드컴, 차지포인트, 빅베어AI 그리고 관세로 인한 시장 혼란

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새로운 관세 파동이 자동차 산업을 흔들 위협을 가하고 있으며, 미국 자동차 제조사들이 그 중앙에 놓여 있다. 캐나다와 멕시코에서 수입되는 자동차에 대한 관세가 다시 부과된다면 자동차 가격이 최대 3,000달러까지 상승할 수 있다고 블룸버그가 보도했다.

관세, 무역 전쟁, 테슬라의 딜레마: 전기 자동차 붐이 어려움에 부딪히고 있는가?

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12월 회의에서 시장에 큰 영향을 미친 결정으로 기억될 연방준비제도(연준)는 수요일에 예상대로 기준금리를 25베이시스포인트(bp) 인하하여 목표 범위를 4.25%-4.5%로 조정했다.

이번 주 시장 동향: 연준의 금리 인하, 파월이 산타 랠리를 망쳐; 달러가 2년 만에 최고치

ChargePoint Holdings Inc

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KEYS

Watching Keysight Technologies; Reuters Cites Court Filing Saying U.S. Files Antitrust Lawsuit To Block Keysight Technologies Purchase Of Spirent Communications; Proposes Requiring Divesting Of Some Assets Before Allowing Merger To Be Completed

Goldman Sachs analyst Jordan Alliger upgraded Saia, Inc. (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/SAIA#NASDAQ">SAIA</a>)&nbsp;from Neutral to Buy and raised the price forecast <a target="_blank" href="https://www.benzinga.com/quote/SAIA/analyst-ratings" rel="noreferrer noopener">from&nbsp;$387&nbsp;to&nbsp;$410</a>.
The analyst believes that the company can continue to gain market share and grow its tonnage at a faster pace than overall industry trends.
Alliger cites regional cross-selling opportunities with current and new customers and potentially increased penetration of national accounts by offering a wider service area through its recent network expansion as growth catalysts.
Further, increased Less-Than-Truckload (LTL) volume growth should lead to better capacity utilization, which in turn reduces cost per shipment and significantly accelerates margins, adds the analyst.
Meanwhile, the analyst notes that the company faces a challenge in achieving the necessary density to offset terminal expansion costs amid a freight recession.
This, combined with persistent weakness in legacy SAIA volumes due to soft LTL industry fundamentals, has recently resulted in margin underperformance, adds the analyst.
Alliger says that this situation could lead to additional quarterly EPS volatility until industry volumes improve, which would enhance network productivity and efficiency.
The analyst believes that this will put SAIA back on a path toward significant incremental margin opportunities and above-average long-term industry EPS growth rates despite possible near-term margin pressure.
Overall, Alliger thinks that it is feasible for SAIA to move into the low-80% operating ratio (OR) range and eventually below 80%, compared to an OR of over 90% prior to COVID-19 and in the first quarter of 2025.
Price Action: SAIA shares are down 1.5% at $260.22 at the last check on Monday.
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Grupo Cibest shares are trading higher after UBS raised its price target on the stock from $35 to $38.

Verastem Oncology&nbsp;Inc (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/VSTM#NASDAQ">VSTM</a>) released on Monday updated data from the dose escalation phase of the Phase 1/2 trial of GFH375 (known as <a href="https://www.benzinga.com/general/health-care" target="_blank" rel="noreferrer noopener">VS-7375 in the U.S.)</a>.
As of May 16, 2025, 23 efficacy-evaluable patients with pancreatic ductal adenocarcinoma (PDAC) and 12 efficacy-evaluable patients with non-small cell lung cancer (NSCLC) achieved an overall response rate (ORR) <a target="_blank" href="https://www.benzinga.com/pressreleases/25/06/b45721800/verastem-oncology-announces-updated-data-from-partner-genfleet-therapeutics-phase-1-study-in-china" rel="noreferrer noopener">of 52% and 42%, respectively</a>.
Also Read: <a target="_blank" href="https://www.benzinga.com/general/biotech/25/05/45297255/fda-grants-accelerated-approval-to-verastems-combination-drug-for-ovarian-cancer" rel="noreferrer noopener">FDA Grants Accelerated Approval To Verastem&#8217;s Combination Drug For Ovarian Cancer</a>
Verastem&#8217;s partner, GenFleet Therapeutics, presented the updated data at the 2025 American Society of Clinical Oncology Annual Meeting.
ASCO 2025 Presentation Highlights
<ul class="wp-block-list">
<li>GenFleet reported that 62 patients were enrolled in the Phase 1 portion of the study in China, receiving oral doses ranging from 100 to 900 mg daily.</li>
<li>As of the data cutoff of May 16, 2025, 23 efficacy-evaluable patients with PDAC and 12 efficacy-evaluable patients with NSCLC, who received daily dosages of 400 or 600 mg and had at least one post-treatment tumor assessment, achieved an ORR of 52% and a disease control rate (DCR) of 100%, and an ORR of 42% and a DCR of 83%, respectively.</li>
</ul>
As of the cutoff date of March 31, 2025, GenFleet reported that no dose-limiting toxicities (DLTs) were observed across all dose levels (100-900 mg QD), and the treatment-related adverse events (TRAEs) were mostly Grade 1/2.
VSTM Price Action: Verastem Oncology stock is trading 18.62% lower at $6.12 at publication on Monday.
<h1 class="wp-block-heading">Looking At Trends: Verastem Oncology</h1>
Equity research analysts on and off Wall Street typically use earnings growth and fundamental research as a form of valuation and forecasting. But many in trading turn to technical analysis as a way to form predictive models for share price trajectory.
Some investors look to trends to help forecast where they believe a stock could trade at a certain point in the future. Looking at Verastem, an investor could make an assessment about a stock's long-term prospects using a moving average and trend line. 
If they believe a stock will remain above the moving average, which many believe is a bullish signal, they can extrapolate that trend into the future using a trend line. For Verastem, the 200-day moving average sits at $4.96, according to <a href="https://pro.benzinga.com/">Benzinga Pro</a>, which is below the current price of $6.13. For more on charts and trend lines, <a href="https://pro.benzinga.com/">see a description here.</a>
Traders believe that when a stock is above its moving average, it is a generally bullish signal, and when it crosses below, it is a more negative signal. Investors could use trend lines to make an educated guess about where a stock could trade at a later date if conditions remain stable.
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ARVN

ARVN stock has given up its prior loss. Arvinas shares were trading lower after Leerink Partners downgraded the stock from Outperform to Market Perform and cut its price target from $10 to $9.

When you request an AI model to create a social media post or generate a Picasso-inspired animal graphic, there's a small but quantifiable energy cost associated with it, accompanied by emissions released into the atmosphere. While each individual query typically consumes less energy than briefly using a deep fryer, the effect might seem negligible. However, as more people rely on AI tools, these cumulative impacts become increasingly significant. According to Morgan Stanley, power demand from generative AI will <a href="https://www.morganstanley.com/ideas/ai-energy-demand-infrastructure">increase at an annual average of 70%</a> through 2027, mostly from the growth of AI-dependent data centers.&nbsp;
AI's growing dependency on energy-intensive processes is not only reshaping infrastructure at an unprecedented scale but also challenging the global push toward sustainability. As AI systems become more pervasive, their energy consumption is accelerating, and with it, questions about the long-term implications for the environment, energy resources, and technology itself. From data centers to inference models, the power demands of AI are poised to grow exponentially in the coming years and experts are taking note.&nbsp;
Some of AI's best minds gathered in Cambridge, Massachusetts, May 5-7, 2025, at the <a href="https://event.technologyreview.com/emtech-ai-2025/home">EmTech AI Conference</a>, to discuss the sustainability implications of artificial intelligence. Editorial members of the esteemed <a href="https://www.technologyreview.com/">MIT Technology Review</a> publication explored the scope of AI's energy impact, where it's heading, and why it's imperative that decisions made today balance innovation with responsibility. Ultimately, these experts warn that we are at a critical juncture that will determine whether future AI innovations can coexist with global efforts to combat climate change.
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="560" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140240/EmTech2-1024x560.png" alt="MIT Technology Review from left to right: Will Douglas Heaven, Sr. Editor; James O'Donnell, AI Reporter; Mat Honan, Editor in Chief" class="wp-image-13720" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140240/EmTech2-1024x560.png 1024w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140240/EmTech2-300x164.png 300w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140240/EmTech2-768x420.png 768w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140240/EmTech2.png 1200w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
MIT Technology Review from left to right: Will Douglas Heaven, Sr. Editor; James O'Donnell, AI Reporter; Mat Honan, Editor in Chief 
<h2 class="wp-block-heading">The Growing Energy Demands of AI</h2>
AI's energy usage comes from two primary operations: training models and inference tasks. Training complex AI models, such as large language models and image generation systems like ChatGPT, Gemini, Llama, and Claude, require massive computational power and energy resources. Training processes for advanced models can require weeks or even months of operating fleets of high-performance GPUs, processing vast datasets. The carbon costs of this process are significant, and they represent only part of the challenge.
Inference, the step in which AI models respond to user inputs or requests (e.g., generating text, answering search queries, or creating art), is set to consume an even greater share of energy in the near future. Unlike training, inference happens on-demand and at scale. Every interaction with an AI system, whether a personal assistant like ChatGPT or a visual design tool, requires computing resources, creating a cumulative energy burden as these interactions multiply.
"We're moving to this world where multiple AI models are answering billions of queries daily, and those inferences are already a massive and growing energy hog," explained Mat Honan, MIT Technology Review's editor in chief. "And if we want to keep up with the expected demand, we're going to need a lot more power than we currently have."
The magnitude of this shift cannot be understated: as AI tools become more integrated into consumer and enterprise systems, the energy used to power these tools will continue to grow, raising complex questions about how much power our infrastructure can handle and its implications for the environment. So, where will this power come from?
<h2 class="wp-block-heading">Just How Much Energy Do We Need?</h2>
Establishing just how much energy will be required to meet future AI demands is tricky. Experts are merely speculating.&nbsp;
"I can't emphasize enough, we truly don't know anything about how much energy is used up when you ask a query or generate a video," MIT Technology Review AI Reporter, James O'Donnell said. "We make estimates about how much energy is used specifically in inferencing, and there's all sorts of ways that you can do that, but it's all very indirect."&nbsp;
And that's at the functional level, at the data center level it's still being figured out what energy sources are going to power this AI revolution.
<h2 class="wp-block-heading">The Role of Data Centers: Feeding AI's Energy Hunger</h2>
Data centers serve as the backbone of AI systems. These sprawling facilities house the servers and processors that enable AI models to function. However, their scale, complexity, and energy consumption are raising alarms globally.&nbsp;
Take Nevada, for example, where tech giants like Google and Apple have built vast data centers in what is already one of America's driest states. These facilities consume massive amounts of energy to keep high-performance servers operating at optimum temperatures. Cooling technologies are vital in these desert locations, requiring significant water use and power to sustain the operations. Nearly half of the energy demands of a data center comes from the need to cool it.&nbsp;
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="509" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140339/Apple-NV-1024x509.png" alt="" class="wp-image-13721" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140339/Apple-NV-1024x509.png 1024w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140339/Apple-NV-300x149.png 300w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140339/Apple-NV-768x381.png 768w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140339/Apple-NV.png 1200w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
Apple solar data center, Nevada 
The problem isn't limited to Nevada. In Louisiana, Meta is constructing its largest-ever data center, a project geared to support its AI ambitions. However, this venture relies heavily on power from natural gas plants, undermining clean energy goals. Such developments reveal troubling contradictions: while companies acknowledge the importance of sustainability, they remain tied to energy sources that perpetuate dependence on fossil fuels. "Renewables, for the most part, lack the kind of consistency a data center requires," Honan pointed out.&nbsp;
A surge in AI-driven electricity demand also places additional pressure on power grids, inadvertently accelerating the buildout of natural gas-based energy facilities. This reliance on fossil fuels, driven in part by AI's electricity needs, presents a serious challenge to climate objectives, as industries struggle to scale renewable solutions quickly enough to meet demand.
<h2 class="wp-block-heading">Can Nuclear Power Solve AI's Energy Crisis?&nbsp;&nbsp;</h2>
To meet the mounting energy demand posed by AI, many are turning to nuclear power as a potential solution. Viewed as a cleaner alternative to fossil fuels, nuclear energy offers a steady, reliable source of electricity that could, in theory, power future AI operations sustainably. However, there are significant barriers to this transition. "While nuclear may sound great, it takes years, sometimes a decade or more to bring a new plant online," Honan remarked.&nbsp;
Additionally, policy hurdles, public resistance, and high costs further complicate nuclear adoption. As a result, it may be years—if not decades—before nuclear energy can meaningfully contribute to fueling AI's growth at scale. While the idea holds promise, it is far from an immediate solution to AI's energy dilemma.
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="780" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA-1024x780.png" alt="Source: Nuclear Innovation Alliance 
" class="wp-image-13722" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA-1024x780.png 1024w, <a href="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA-300x229.png" title="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA-300x229.png">https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA-300x229.png</a> 300w, <a href="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA-768x585.png" title="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA-768x585.png">https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA-768x585.png</a> 768w, <a href="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA.png" title="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA.png">https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140416/NIA.png</a> 1200w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
Source: Nuclear Innovation Alliance&nbsp; 
Companies are investing heavily in exploring nuclear options as part of their long-term plans to decarbonize data infrastructure, particularly overseas. China's first nuclear power plant was connected to the grid in 1991, and within a few decades, it has developed the <a href="https://www.technologyreview.com/2025/01/14/1109963/whats-next-for-nuclear-power/">third-largest nuclear fleet globally</a>, behind only France and the United States. This year, China is expected to bring four large reactors online, with several more planned for commissioning in 2026.
<h2 class="wp-block-heading">Why AI's Energy Problem Matters</h2>
At present, AI's energy footprint constitutes a relatively small portion of global electricity use. However, its trajectory is concerning. Analysts warn that if unchecked, AI's growing power consumption could have a cascading effect on broader electrification plans and efforts to combat climate change. The energy requirements of data centers represent a microcosm of the broader electrification challenges humanity faces: as society adopts new technologies reliant on electricity, ensuring sustainable energy practices becomes increasingly critical.
Moreover, AI's energy needs expose existing inequities in resource allocation. Communities hosting energy-intensive data centers may bear disproportionate environmental impacts, from water shortages to higher emissions associated with local power generation. This creates a moral imperative for policymakers and corporations to adopt equitable, sustainable strategies.
<h2 class="wp-block-heading">The Case for Optimism: Toward Energy-Efficient AI&nbsp;&nbsp;</h2>
Despite these challenges, there are reasons to feel optimistic about AI's energy future. Emerging technologies and innovations could significantly reduce the energy intensity of AI systems in years to come. Improvements in software and hardware, including the development of more efficient processors, are already underway.&nbsp;
"On the software side, there's always going to be efficiencies made in the way AI models themselves are made," MIT Technology Review Senior Editor, Will Douglas Heaven, said. "We can be smarter about training with more curated, specialized data where you don't need to throw everything in it and then run models for weeks and weeks on it."
Companies can also adopt better monitoring and reporting practices to enhance accountability. Transparent reporting on AI's energy use, coupled with clear targets for reducing environmental impact, could represent a critical step toward aligning technological innovation with climate goals. Renewable energy investments and technologies like liquid cooling are further reasons for cautious optimism, as they could minimize the environmental strain of data centers.
Lastly, the increasing emphasis on sustainable infrastructure aligns AI innovation with global electrification policies. Governments and the private sector alike are exploring pathways to design AI systems that contribute to renewable energy networks rather than strain them. The future of AI in renewable energy is incredibly promising, <a href="https://www.aon.com/en/insights/articles/ai-innovations-in-renewable-energy-transforming-the-sector">according to AON</a>, with numerous advancements and applications that are set to revolutionize the sector.
<figure class="wp-block-image size-large"><img loading="lazy" decoding="async" width="1024" height="381" src="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140502/AON-1024x381.png" alt="" class="wp-image-13723" srcset="https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140502/AON-1024x381.png 1024w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140502/AON-300x112.png 300w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140502/AON-768x286.png 768w,https://contributor-assets.benzinga.com/wp-content/uploads/2025/06/02140502/AON.png 1200w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
Source: AON Website&nbsp; 
<h2 class="wp-block-heading">Looking Forward&nbsp;</h2>
AI holds the potential to transform society in unprecedented ways. Yet, its rapid growth is a double-edged sword. The power-hungry nature of AI systems presents a litmus test for humanity's ability to manage technological progress responsibly while safeguarding our planet.
As the energy demands of AI mount, urgent steps must be taken to align innovation with sustainability. Solutions such as energy-efficient systems, equitable infrastructure planning, and investments in renewable energy are critical to mitigating AI's environmental impact. Importantly, collaboration between industry leaders, governments, and scientists will be essential to ensuring that AI's immense potential benefits humanity without undermining our shared future.
The coming years will define not just the trajectory of AI but also the legacy of our response to the challenges it poses on our planet. By addressing AI's energy consumption today, we can ensure that the technology powering the future is as sustainable as it is transformative.
Feature image compliments of MIT EmTech

Opinion

General

Tomorrow's Energy Crisis? MIT's Alarming Analysis of AI Power Consumption

Regencell Bioscience Holdings Limited (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/RGC#NASDAQ">RGC</a>) (the "Company"), today announced that its board of directors approved a 38-for-one forward stock split to be paid in the form of a stock bonus. Each shareholder of the Company of record at the close of business on June 12, 2025 will receive 37 additional shares for every share held on the record date. The Company expects the additional shares will be distributed on June 13, 2025. Subject to the final approval by the Nasdaq Capital Market, trading is expected to begin on a post-stock split adjusted basis at market open on June 16, 2025.
The forward stock split is intended to enhance liquidity in the market for the Company's ordinary shares and make the shares more accessible to investors.
Following the split, the Company's outstanding shares will be increased at the ratio of the forward stock split. The Company's authorized share capital and the share par value will remain unchanged.
There will be no change to the Company's name, CUSIP or its current trading symbol in connection with the forward stock split.
No action is required by shareholders in connection with the forward stock split. Shareholders who hold their shares through a brokerage account will have their shares automatically adjusted to reflect the forward stock split. Registered shareholders will receive their additional shares through the Company's transfer agent.

Stock Split

Reported Earlier: Regencell Bioscience Announces 38-For-1 Forward Stock Split, With Share Distribution On June 13, 2025 And Post-Split Trading Set For June 16, 2025

BURU

Nuburu shares are trading lower after the company announced it will raise capital through a $100 million equity facility.

IBRX

ImmunityBio shares are trading higher after the company announced it received FDA extended access authorization for the treatment of lymphopenia with ANKTIVA.

Phase 2 trial results continue to show clinically meaningful efficacy and durable responses, including 36.5-month median overall survival after four years of follow-up, with a manageable safety profile
Findings presented today at ASCO 2025 and concurrently published in The Lancet Oncology
For U.S. media and investors only&nbsp;
DUBLIN, June 2, 2025 /PRNewswire/ -- Jazz Pharmaceuticals plc&nbsp;(NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/JAZZ#NASDAQ">JAZZ</a>) today announced long-term data, including the first report of median overall survival (OS) from the Phase 2 trial evaluating Ziihera&#xAE; (zanidatamab-hrii), a dual HER2-targeted bispecific antibody, in combination with chemotherapy for the investigational use in first-line HER2-positive (IHC 3+ or IHC 2+/FISH+) locally advanced nonresectable gastroesophageal adenocarcinoma (mGEA). The data were featured as a rapid oral presentation at the American Society of Clinical Oncology (ASCO) Annual Meeting, and the results were concurrently published in <a href="https://c212.net/c/link/?t=0&amp;l=en&amp;o=4439717-1&amp;h=49472503&amp;u=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flanonc%2Farticle%2FPIIS1470-2045(25)00287-6%2Ffulltext&amp;a=The+Lancet+Oncology">The Lancet Oncology</a>.
Among 41 patients with centrally confirmed HER2-positive tumors, treatment with Ziihera in combination with physician's choice of chemotherapy resulted in a median progression-free survival (PFS) of 15.2 months [95% CI: 9.5, 33.4], and a median overall survival (OS) of 36.5 months [95% CI: 23.6, not estimable (NE)]. Median PFS remained stable with the additional four-year follow-up, consistent with previously reported results.
Among all 46 patients in the study with HER2-expressing mGEA, median PFS was 12.5 months [95% CI: 8.2, 21.8], and median OS also reached 36.5 months [95% CI: 23.6, NE], with the longest observed survival at 57.9 months (censored at data cutoff). Long-term follow-up also demonstrated low discontinuation rates, with no new safety signals observed.

Biotech

JAZZ

Jazz Pharmaceuticals Reports Long-Term Phase 2 Data For Ziihera Showing 36.5-Month Median Overall Survival And Durable Responses In HER2-Positive Gastroesophageal Cancer, With Manageable Safety Profile; Results Presented At ASCO 2025 And Published In The Lancet Oncology

ALLO

Allogene Therapeutics shares are trading higher after the company provided updates for its Phase 1 TRAVERSE study of ALLO-316.

CLEU

CLEU stock has given up its prior loss. China Liberal Education shares were trading lower after the company announced it will be suspended from Nasdaq for failing to address a 20-F delinquency filing.

RITR

Reitar Logtech Holdings shares are trading higher after the company announced a $1.5 billion Bitcoin acquisition plan.

BCAB

BioAlta shares are trading higher after the company provided updates from its Phase 2 trial of Ozuriftamab Vedotin.

ASND

Ascendis Pharma shares are trading higher after the company announced that the FDA has accepted its NDA for TransCon CNP for priority review.

Popular (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/BPOP#NASDAQ">BPOP</a>) has outperformed the market over the past 5 years by 5.73% on an annualized basis producing an average annual return of 18.78%. Currently, Popular has a market capitalization of $7.06 billion. 
Buying $1000 In BPOP: If an investor had bought $1000 of BPOP stock 5 years ago, it would be worth $2,438.21 today based on a price of $103.00 for BPOP at the time of writing.
<h3>Popular's Performance Over Last 5 Years</h3>
<img src="https://www.benzinga.com/files/images/story/2025/1748881818_0.png" alt="comp_fig" />
Finally -- what's the point of all this? The key insight to take from this article is to note how much of a difference compounded returns can make in your cash growth over a period of time.
This article was generated by Benzinga's automated content engine and reviewed by an editor.

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BioNTech shares are trading higher after the company entered into an agreement with Bristol Myers Squibb to advance bispecific antibody BNT327 for solid tumors.

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An Apple Inc (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/AAPL#NASDAQ">AAPL</a>) analyst looks at the bear and bull cases for the stock, with items such as new smartphones, tariffs and artificial intelligence weighing on investors&#8217; minds about the future of <a href="https://www.benzinga.com/25/05/45620995/apple-stock-one-of-the-biggest-beneficiaries-in-us-india-trade-deal-producing-iphones-in-the-us-is-a-fairy-tale">the tech giant.</a>
"We present a comprehensive summary of the bull/bear debates on Apple. Despite near-term headwinds, we see significant long-term opportunity," Bank of America analyst Wamsi Mohan says.
The analyst maintained a Buy rating with a $235 price target.
The Apple Bear Case: Mohan says there are many items that <a href="https://www.benzinga.com/analyst-ratings/analyst-color/25/04/44961882/iphone-resecue-apple-tariff-worries">could be headwinds </a>and increase the bear case for Apple stock, including regulatory, lagging in the artificial intelligence race and gross margins potentially peaking.
"We see tariffs and moving supply chains as additional risks," Mohan said.
The analyst said Apple's supply chain, which is centered in China, has been a source of cost advantages and efficiencies. That could now be under pressure with tariffs on China and other countries.
"The U.S.-China trade tensions and protectionist policies are squeezing Apple in both its major markets." &nbsp;
One of the top concerns for Apple could be the growing disruption of artificial intelligence, which could bypass traditional smartphone apps or web searches, the analyst said.
"This hints that AI-driven platforms could reduce time spent within the iPhone's ecosystem."
Mohan said Google's AI features could drive consumers away from iPhones to Android devices with Alphabet Inc (NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/GOOG#NASDAQ">GOOG</a>)(NASDAQ:<a class="ticker" href="https://www.benzinga.com/stock/GOOGL#NASDAQ">GOOGL</a>) integrating more AI into its smartphones.
The analyst also said there are concerns for Apple growth past the iPhone.
"Bears question whether Apple has a ‘next big thing' on the horizon that can re-ignite substantial growth, or if the company is now essentially at the maturity stage of its innovation cycle."
Apple revenue was down in 2023 and up only at a low single-digit rate year-over-year in 2024.
"Apple's stock currently trades at a premium valuation that looks increasingly difficult to justify given the company's modest growth profile."
The analyst said the bear case is Apple is trading like a growth stock, but the growth isn't there anymore.
Read Also: <a href="https://www.benzinga.com/news/earnings/25/05/45152493/apple-reports-strong-q2-earnings-revenue-beat-eps-beat-installed-base-hits-all-time-high-across-all-segments-100-billion-buyback-and-more">Apple Reports &#8216;Strong&#8217; Q2 Earnings: Revenue Beat, EPS Beat, Installed Base Hits All-Time High Across All Segments, $100 Billion Buyback And More</a>
The Apple Bull Case: While there are several headwinds facing Apple stock, Mohan also sees a bull case maintained thanks to the company's resilient earnings, vertical integration, expanding installed products base, services growth and more.
"Despite various headwinds, Apple's bulls argue that the company's financial performance is remarkably resilient, with a low likelihood of disappointing Street expectations," Mohan said.
The analyst said Apple often has conservative guidance and can provide consistent beats along with margin expansion over time.
While there are concerns about Apple being behind in the AI race, Apple bulls argue that the company is set for dominance for personal and private AI experiences thanks to its devices and strong installed user base.
Mohan said there could be several "significant upgrade cycles" coming for Apple's smartphones including an ultra-thin iPhone in 2025 and a foldable iPhone by 2026.
While Apple's stock could look highly valued to bears, Mohan said the company's forward price-to-earnings has often been in the high-20s to low-30s and is now around 25x to 27x.
"In other words, relative to its own recent history, Apple's current multiple is not stretched; it's reasonable given the low interest rate environment and Apple's superior business quality."
The Analyst Takeaways: While there are headwinds, Mohan maintains a Buy rating and predicts more long-term upside for the stock.
"Apple's risk profile is lower than most companies, which supports a higher multiple," Mohan said.
The analyst said Apple's Services opportunities may not be fully valued in the stock price.
"Apple, while not exactly ‘cheap' remains an investment with many avenues for revenue and margin growth with continued strong free cash flow and shareholder returns."
AAPL Price Action: Apple stock trades at $200.99 at publication on Monday versus a 52-week trading range of $169.21 to $260.09. Apple stock is down 17.5% year-to-date in 2025.
Read Next: 
•. <a href="https://www.benzinga.com/tech/25/05/45413749/exclusive-apple-stock-could-benefit-from-smartphone-upgrade-cycle">EXCLUSIVE: Apple Stock Could Benefit From Smartphone Upgrade Cycle, Poll Ranks Top Reason For Trade In (It&#8217;s Not The Camera)</a>
Photo: Prathmesh T via Shutterstock

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